Institution
University of Maribor
Education•Maribor, Slovenia•
About: University of Maribor is a education organization based out in Maribor, Slovenia. It is known for research contribution in the topics: Population & KEKB. The organization has 3987 authors who have published 13077 publications receiving 258339 citations. The organization is also known as: Univerza v Mariboru.
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Gyeongsang National University1, University of Tokyo2, Budker Institute of Nuclear Physics3, École Polytechnique Fédérale de Lausanne4, Tata Institute of Fundamental Research5, University of Sydney6, Polish Academy of Sciences7, University of Maribor8, National Taiwan University9, National Central University10, Hanyang University11, Sungkyunkwan University12, University of Melbourne13, Virginia Tech14, University of Ljubljana15, Osaka University16, Nagoya University17, Nara Women's University18, Tohoku Gakuin University19, Kyungpook National University20, Saga University21, Tokyo Institute of Technology22, Yonsei University23, Chiba University24, Niigata University25, Seoul National University26, Graduate University for Advanced Studies27, University of Cincinnati28, Panjab University, Chandigarh29, University of Giessen30, Austrian Academy of Sciences31, Osaka City University32, Tokyo University of Agriculture and Technology33, Toho University34, Kanagawa University35, University of Nova Gorica36, Tokyo Metropolitan University37, National United University38, Korea University39, University of Science and Technology of China40
TL;DR: In this paper, the authors presented a method to detect the presence of a tumor in the human brain using the Web of Science Record created on 2010-11-05, modified on 2017-12-10.
Abstract: Reference EPFL-ARTICLE-154575doi:10.1103/PhysRevLett.100.142001View record in Web of Science Record created on 2010-11-05, modified on 2017-12-10
427 citations
TL;DR: This paper introduces k'-means algorithm that performs correct clustering without pre-assigning the exact number of clusters by minimizing a suggested cost-function.
427 citations
TL;DR: In this article, the authors focused on two of the perceived value impact factors: perceived product quality and perceived risk, and designed a model of relationships among perceived value, perceived quality, perceived risk.
Abstract: Perceived value is an extremely important concept in marketing and many authors have dealt with it in recent years. In Slovenia perceived value of product is a rather neglected aspect of the research. Moreover, nobody has empirically researched the impact of individual factors on perceived value of a product. The researched target group was students – the fastest growing segment among the users of mobile phones in Slovenia. In their research the authors focused on two of the perceived value impact factors: perceived product quality and perceived risk. Based on literature and our own findings, their main researched objective was to design the model of relationships among perceived value, perceived quality and perceived risk. After the model had been tested with the method of structural equation modeling (LISREL 8.0), the authors found that statistically significant relationships (positive and negative, direct and indirect) among the concepts researched exist.
426 citations
TL;DR: In this article, a simple binary solvent (ethanol/water) was used to obtain a low molecular weight poly(ethylene glycol) PEG membrane with high permeability.
426 citations
TL;DR: In this article, the effect of different extraction set-ups that influence the extraction efficiency of catechins and caffeine from green tea leaves (variety Fanning Belas, China) were studied using different aqueous and pure solvents (acetone, ethanol, methanol, acetonitrile, water), different temperatures (60, 80, 95 and 100°C) and times (5-240
425 citations
Authors
Showing all 4077 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Ignacio E. Grossmann | 112 | 776 | 46185 |
| Mirjam Cvetič | 89 | 456 | 27867 |
| T. Sumiyoshi | 88 | 855 | 62277 |
| M. Bračko | 87 | 738 | 30195 |
| Xin-She Yang | 85 | 444 | 61136 |
| Matjaž Perc | 84 | 400 | 22115 |
| Baowen Li | 83 | 477 | 23080 |
| S. Nishida | 82 | 678 | 27709 |
| P. Križan | 78 | 749 | 26408 |
| S. Korpar | 78 | 615 | 23802 |
| Attila Szolnoki | 76 | 231 | 20423 |
| H. Kawai | 76 | 477 | 22713 |
| John Shawe-Taylor | 72 | 503 | 52369 |
| Matjaz Perc | 57 | 148 | 12886 |
| Mitja Lainscak | 55 | 287 | 22004 |