Elisabeth Köbis

52 total papers · 843 total citations
26 papers, 533 citations indexed

About

Elisabeth Köbis is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Elisabeth Köbis has authored 26 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 13 papers in Management Science and Operations Research and 10 papers in Statistics and Probability. Recurrent topics in Elisabeth Köbis's work include Optimization and Variational Analysis (19 papers), Risk and Portfolio Optimization (11 papers) and Fuzzy Systems and Optimization (10 papers). Elisabeth Köbis is often cited by papers focused on Optimization and Variational Analysis (19 papers), Risk and Portfolio Optimization (11 papers) and Fuzzy Systems and Optimization (10 papers). Elisabeth Köbis collaborates with scholars based in Germany, China and Norway. Elisabeth Köbis's co-authors include Qamrul Hasan Ansari, Jonas Ide, Anita Schöbel, Christiane Tammer, Jen‐Chih Yao, Jiawei Chen, Kathrin Klamroth, Daishi Kuroiwa, Chr. Tammer and Lu-Chuan Ceng and has published in prestigious journals such as European Journal of Operational Research, Journal of Optimization Theory and Applications and Journal of Global Optimization.

In The Last Decade

Elisabeth Köbis

22 papers receiving 519 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Elisabeth Köbis 423 273 182 154 117 26 533
Andreas Löhne 362 0.9× 145 0.5× 297 1.6× 111 0.7× 99 0.8× 34 504
Xiangkai Sun 342 0.8× 131 0.5× 175 1.0× 77 0.5× 84 0.7× 44 520
Josef Nedoma 237 0.6× 86 0.3× 129 0.7× 40 0.3× 231 2.0× 12 495
Gabriel Ruiz Garzón 399 0.9× 81 0.3× 178 1.0× 151 1.0× 149 1.3× 47 479
Trúóng Xuân Dúc Hā 512 1.2× 95 0.3× 355 2.0× 169 1.1× 81 0.7× 20 568
Andreas H. Hamel 274 0.6× 206 0.8× 149 0.8× 175 1.1× 22 0.2× 32 452
Mohammad Ali Yaghoobi 109 0.3× 242 0.9× 30 0.2× 128 0.8× 265 2.3× 30 449
Xian-Jun Long 457 1.1× 98 0.4× 279 1.5× 67 0.4× 110 0.9× 55 485
Heinz Isermann 255 0.6× 140 0.5× 198 1.1× 29 0.2× 345 2.9× 19 585
J. Parra 514 1.2× 81 0.3× 490 2.7× 21 0.1× 217 1.9× 58 599

Countries citing papers authored by Elisabeth Köbis

Since Specialization
Citations

This map shows the geographic impact of Elisabeth Köbis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elisabeth Köbis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth Köbis more than expected).

Fields of papers citing papers by Elisabeth Köbis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisabeth Köbis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elisabeth Köbis. The network helps show where Elisabeth Köbis may publish in the future.

Co-authorship network of co-authors of Elisabeth Köbis

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Köbis. A scholar is included among the top collaborators of Elisabeth Köbis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elisabeth Köbis. Elisabeth Köbis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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