Institution
Istanbul Technical University
Education•Istanbul, Turkey•
About: Istanbul Technical University is a education organization based out in Istanbul, Turkey. It is known for research contribution in the topics: Fuzzy logic & Large Hadron Collider. The organization has 12889 authors who have published 25081 publications receiving 518242 citations. The organization is also known as: İstanbul Teknik Üniversitesi & Technical University of Istanbul.
Papers published on a yearly basis
Papers
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TL;DR: A speleothem record from a cave in northern Turkey that tracks the isotopic signature of Black Sea surface water suggests an open connection to the Mediterranean Sea in at least twelve periods in the past 670,000 years.
Abstract: The hydrological balance of the Black Sea is governed by riverine input and by the exchange with the Mediterranean Sea. A speleothem record from a cave in northern Turkey that tracks the isotopic signature of Black Sea surface water suggests an open connection to the Mediterranean Sea in at least twelve periods in the past 670,000 years.
186 citations
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TL;DR: In this article, a literature review is made to assess the information on color removal and need for systematic evaluation of the results is emphasized, and results of the study are evaluated and discussed within the context of a systematic approach.
185 citations
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Vardan Khachatryan, Albert M. Sirunyan, Armen Tumasyan, Wolfgang Adam1 +2201 more•Institutions (180)
TL;DR: In this article, the authors presented an analysis on the total width of the recently discovered Higgs boson, Gamma[H], using its relative on-shell and off-shell production and decay rates to a pair of Z bosons, where one Z boson decays to an electron or muon pair, and the other to a neutrino pair.
185 citations
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TL;DR: In this paper, a non-parametric basis without any restrictive assumption is proposed for trend identification in a nonparametric manner, and its application is rather simple with the concept of sub-series comparisons that are extracted from the main time series.
Abstract: Hydro-climatological time series might embed characteristics of past changes concerning climate variability in terms of shifts, cyclic fluctuations, and more significantly in the form of trends. Identification of such features from the available records is one of the prime tasks of hydrologists, climatologists, applied statisticians, or experts in related topics. Although there are different trend identification and significance tests in the literature, they require restrictive assumptions, which may not be existent in the structure of hydro-climatological time series. In this paper, a method is suggested with statistical significance test for trend identification in an innovative manner. This method has non-parametric basis without any restrictive assumption, and its application is rather simple with the concept of sub-series comparisons that are extracted from the main time series. The method provides privilege for selection of sub-temporal half periods for the comparison and, finally, generates trend on objective and quantitative manners. The necessary statistical equations are derived for innovative trend identification and statistical significance test application. The application of the proposed methodology is suggested for three time series from different parts of the world including Southern New Jersey annual temperature, Danube River annual discharge, and Tigris River Diyarbakir meteorology station annual total rainfall records. Each record has significant trend with increasing type in the New Jersey case, whereas in other two cases, decreasing trends exist.
185 citations
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TL;DR: In this article, the authors evaluated the anaerobic treatability of municipal landfill leachate using lab-scale batch reactors (ASBR) at 35°C and found that about 83% of COD removed during the treatment was converted to methane.
185 citations
Authors
Showing all 13155 results
Name | H-index | Papers | Citations |
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David Miller | 203 | 2573 | 204840 |
H. S. Chen | 179 | 2401 | 178529 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
J. N. Butler | 172 | 2525 | 175561 |
Andrea Bocci | 172 | 2402 | 176461 |
Bradley Cox | 169 | 2150 | 156200 |
Yang Gao | 168 | 2047 | 146301 |
J. E. Brau | 162 | 1949 | 157675 |
G. A. Cowan | 159 | 2353 | 172594 |
David Cameron | 154 | 1586 | 126067 |
Andrew D. Hamilton | 151 | 1334 | 105439 |
Jongmin Lee | 150 | 2257 | 134772 |
A. Artamonov | 150 | 1858 | 119791 |
Teresa Lenz | 150 | 1718 | 114725 |
Carlos Escobar | 148 | 1184 | 95346 |