Example of Water Resources Research format
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Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format
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Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format Example of Water Resources Research format
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Water Resources Research — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Water Science and Technology #14 of 225 down down by 8 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 2319 Published Papers | 17428 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/07/2020
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Related Journals

open access Open Access

Royal Society of Chemistry

Quality:  
High
CiteRatio: 5.5
SJR: 1.08
SNIP: 1.113
open access Open Access

Frontiers Media

Quality:  
High
CiteRatio: 5.0
SJR: 1.558
SNIP: 1.437
open access Open Access

Springer

Quality:  
High
CiteRatio: 4.0
SJR: 0.881
SNIP: 0.986
open access Open Access

Springer

Quality:  
High
CiteRatio: 4.5
SJR: 0.641
SNIP: 1.11

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

4.309

4% from 2018

Impact factor for Water Resources Research from 2016 - 2019
Year Value
2019 4.309
2018 4.142
2017 4.361
2016 4.397
graph view Graph view
table view Table view

7.5

10% from 2019

CiteRatio for Water Resources Research from 2016 - 2020
Year Value
2020 7.5
2019 6.8
2018 7.4
2017 7.2
2016 7.0
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 4% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 10% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.863

4% from 2019

SJR for Water Resources Research from 2016 - 2020
Year Value
2020 1.863
2019 1.799
2018 2.135
2017 2.296
2016 2.615
graph view Graph view
table view Table view

1.711

11% from 2019

SNIP for Water Resources Research from 2016 - 2020
Year Value
2020 1.711
2019 1.544
2018 1.69
2017 1.551
2016 1.648
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 4% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 11% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Water Resources Research

Guideline source: View

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Wiley

Water Resources Research

Water Resources Research is an interdisciplinary journal that publishes original research in the natural and social sciences of water. This includes the role of water in the physical, chemical, biological, and ecological sciences; public health; and related social and policy s...... Read More

Water Science and Technology

Environmental Science

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Last updated on
13 Jul 2020
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ISSN
0043-1397
i
Impact Factor
High - 1.679
i
Open Access
No
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Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
apa
i
Citation Type
Numbered
[25]
i
Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

Journal Article DOI: 10.1029/WR012I003P00513
A new model for predicting the hydraulic conductivity of unsaturated porous media
01 Jun 1976 - Water Resources Research

Abstract:

A simple analytic model is proposed which predicts the unsaturated hydraulic conductivity curves by using the moisture content-capillary head curve and the measured value of the hydraulic conductivity at saturation. It is similar to the Childs and Collis-George (1950) model but uses a modified assumption concerning the hydrau... A simple analytic model is proposed which predicts the unsaturated hydraulic conductivity curves by using the moisture content-capillary head curve and the measured value of the hydraulic conductivity at saturation. It is similar to the Childs and Collis-George (1950) model but uses a modified assumption concerning the hydraulic conductivity of the pore sequence in order to take into account the effect of the larger pore section. A computational method is derived for the determination of the residual water content and for the extrapolation of the water content-capillary head curve as measured in a limited range. The proposed model is compared with the existing practical models of Averjanov (1950), Wyllie and Gardner (1958), and Millington and Quirk (1961) on the basis of the measured data of 45 soils. It seems that the new model is in better agreement with observations. read more read less

Topics:

Hydraulic conductivity (58%)58% related to the paper, Water retention curve (54%)54% related to the paper, Pedotransfer function (52%)52% related to the paper, Extrapolation (51%)51% related to the paper
6,529 Citations
Journal Article DOI: 10.1029/WR016I003P00574
Electromagnetic determination of soil water content: Measurements in coaxial transmission lines
G. C. Topp, James L. Davis, A. P. Annan
01 Jun 1980 - Water Resources Research

Abstract:

The dependence of the dielectric constant, at frequencies between 1 MHz and 1 GHz, on the volumetric water content is determined empirically in the laboratory. The effect of varying the texture, bulk density, temperature, and soluble salt content on this relationship was also determined. Time-domain reflectometry (TDR) was us... The dependence of the dielectric constant, at frequencies between 1 MHz and 1 GHz, on the volumetric water content is determined empirically in the laboratory. The effect of varying the texture, bulk density, temperature, and soluble salt content on this relationship was also determined. Time-domain reflectometry (TDR) was used to measure the dielectric constant of a wide range of granular specimens placed in a coaxial transmission line. The water or salt solution was cycled continuously to or from the specimen, with minimal disturbance, through porous disks placed along the sides of the coaxial tube. Four mineral soils with a range of texture from sandy loam to clay were tested. An empirical relationship between the apparent dielectric constant Ka and the volumetric water content θv, which is independent of soil type, soil density, soil temperature, and soluble salt content, can be used to determine θv, from air dry to water saturated, with an error of estimate of 0.013. Precision of θv to within ±0.01 from Ka can be obtained with a calibration for the particular granular material of interest. An organic soil, vermiculite, and two sizes of glass beads were also tested successfully. The empirical relationship determined here agrees very well with other experimenters' results, which use a wide range of electrical techniques over the frequency range of 20 MHz and 1 GHz and widely varying soil types. The results of applying the TDR technique on parallel transmission lines in the field to measure θv versus depth are encouraging. read more read less

Topics:

Water content (57%)57% related to the paper, Soil water (54%)54% related to the paper, Frequency domain sensor (54%)54% related to the paper, Porosity (52%)52% related to the paper, Loam (51%)51% related to the paper
4,855 Citations
open accessOpen access Journal Article DOI: 10.1029/1998WR900018
Evaluating the use of “goodness-of-fit” Measures in hydrologic and hydroclimatic model validation
01 Jan 1999 - Water Resources Research

Abstract:

Correlation and correlation-based measures (e.g., the coefficient of determination) have been widely used to evaluate the “goodness-of-fit” of hydrologic and hydroclimatic models. These measures are oversensitive to extreme values (outliers) and are insensitive to additive and proportional differences between model prediction... Correlation and correlation-based measures (e.g., the coefficient of determination) have been widely used to evaluate the “goodness-of-fit” of hydrologic and hydroclimatic models. These measures are oversensitive to extreme values (outliers) and are insensitive to additive and proportional differences between model predictions and observations. Because of these limitations, correlation-based measures can indicate that a model is a good predictor, even when it is not. In this paper, useful alternative goodness-of-fit or relative error measures (including the coefficient of efficiency and the index of agreement) that overcome many of the limitations of correlation-based measures are discussed. Modifications to these statistics to aid in interpretation are presented. It is concluded that correlation and correlation-based measures should not be used to assess the goodness-of-fit of a hydrologic or hydroclimatic model and that additional evaluation measures (such as summary statistics and absolute error measures) should supplement model evaluation tools. read more read less

Topics:

Goodness of fit (55%)55% related to the paper, Coefficient of determination (52%)52% related to the paper
View PDF
3,891 Citations
Journal Article DOI: 10.1029/91WR02985
Effective and efficient global optimization for conceptual rainfall‐runoff models
01 Apr 1992 - Water Resources Research

Abstract:

The successful application of a conceptual rainfall-runoff (CRR) model depends on how well it is calibrated. Despite the popularity of CRR models, reports in the literature indicate that it is typically difficult, if not impossible, to obtain unique optimal values for their parameters using automatic calibration methods. Unle... The successful application of a conceptual rainfall-runoff (CRR) model depends on how well it is calibrated. Despite the popularity of CRR models, reports in the literature indicate that it is typically difficult, if not impossible, to obtain unique optimal values for their parameters using automatic calibration methods. Unless the best set of parameters associated with a given calibration data set can be found, it is difficult to determine how sensitive the parameter estimates (and hence the model forecasts) are to factors such as input and output data error, model error, quantity and quality of data, objective function used, and so on. Results are presented that establish clearly the nature of the multiple optima problem for the research CRR model SIXPAR. These results suggest that the CRR model optimization problem is more difficult than had been previously thought and that currently used local search procedures have a very low probability of successfully finding the optimal parameter sets. Next, the performance of three existing global search procedures are evaluated on the model SIXPAR. Finally, a powerful new global optimization procedure is presented, entitled the shuffled complex evolution (SCE-UA) method, which was able to consistently locate the global optimum of the SIXPAR model, and appears to be capable of efficiently and effectively solving the CRR model optimization problem. read more read less

Topics:

Global optimization (56%)56% related to the paper, Optimization problem (55%)55% related to the paper, Local search (optimization) (53%)53% related to the paper, Errors-in-variables models (51%)51% related to the paper
2,988 Citations
Journal Article DOI: 10.1029/WR018I005P01311
Macropores and water flow in soils
01 Oct 1982 - Water Resources Research

Abstract:

This paper reviews the importance of large continuous openings (macropores) on water flow in soils. The presence of macropores may lead to spatial concentrations of water flow through unsaturated soil that will not be described well by a Darcy approach to flow through porous media. This has important implications for the rapi... This paper reviews the importance of large continuous openings (macropores) on water flow in soils. The presence of macropores may lead to spatial concentrations of water flow through unsaturated soil that will not be described well by a Darcy approach to flow through porous media. This has important implications for the rapid movement of solutes and pollutants through soils. Difficulties in defining what constitutes a macropore and the limitations of current nomenclature are reviewed. The influence of macropores on infiltration and subsurface storm flow is discussed on the basis of both experimental evidence and theoretical studies. The limitations of models that treat macropores and matrix porosity as separate flow domains is stressed. Little-understood areas are discussed as promising lines for future research. In particular, there is a need for a coherent theory of flow through structured soils that would make the macropore domain concept redundant. read more read less

Topics:

Macropore (64%)64% related to the paper, Water flow (64%)64% related to the paper
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2,532 Citations
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Water Resources Research format uses apa citation style.

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Frequently asked questions

1. Can I write Water Resources Research in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Water Resources Research guidelines and auto format it.

2. Do you follow the Water Resources Research guidelines?

Yes, the template is compliant with the Water Resources Research guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Water Resources Research?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Water Resources Research citation style.

4. Can I use the Water Resources Research templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Water Resources Research.

5. Can I use a manuscript in Water Resources Research that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Water Resources Research that you can download at the end.

6. How long does it usually take you to format my papers in Water Resources Research?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Water Resources Research.

7. Where can I find the template for the Water Resources Research?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Water Resources Research's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Water Resources Research's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Water Resources Research an online tool or is there a desktop version?

SciSpace's Water Resources Research is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Water Resources Research?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Water Resources Research?”

11. What is the output that I would get after using Water Resources Research?

After writing your paper autoformatting in Water Resources Research, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Water Resources Research's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Water Resources Research?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Water Resources Research. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Water Resources Research?

The 5 most common citation types in order of usage for Water Resources Research are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Water Resources Research?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Water Resources Research's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Water Resources Research in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Water Resources Research Endnote style according to Elsevier guidelines.

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