Alexander Skopalik

86 total papers · 787 total citations
26 papers, 227 citations indexed

About

Alexander Skopalik is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Alexander Skopalik has authored 26 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 23 papers in Economics and Econometrics and 2 papers in Computer Networks and Communications. Recurrent topics in Alexander Skopalik's work include Game Theory and Applications (22 papers), Game Theory and Voting Systems (18 papers) and Economic theories and models (17 papers). Alexander Skopalik is often cited by papers focused on Game Theory and Applications (22 papers), Game Theory and Voting Systems (18 papers) and Economic theories and models (17 papers). Alexander Skopalik collaborates with scholars based in Germany, Netherlands and Singapore. Alexander Skopalik's co-authors include Berthold Vöcking, Vahab Mirrokni, Martin Hoefer, Yossi Azar, Baruch Awerbuch, Amir Epstein, Ioannis Caragiannis, Nick Gravin, Angelo Fanelli and Tobias Harks and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Mathematical Programming and Theory of Computing Systems.

In The Last Decade

Alexander Skopalik

24 papers receiving 221 citations

Author Peers

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

Author Last Decade Papers Cites
Alexander Skopalik 199 145 37 23 15 26 227
Spyros Kontogiannis 177 0.9× 128 0.9× 54 1.5× 23 1.0× 29 1.9× 27 264
Simina Brânzei 186 0.9× 172 1.2× 31 0.8× 32 1.4× 23 1.5× 32 270
Jorge Oviedo 177 0.9× 214 1.5× 26 0.7× 20 0.9× 6 0.4× 28 300
Thomas Lücking 128 0.6× 89 0.6× 58 1.6× 8 0.3× 22 1.5× 13 170
Gianpiero Monaco 168 0.8× 153 1.1× 88 2.4× 15 0.7× 10 0.7× 35 298
Omer Lev 159 0.8× 163 1.1× 22 0.6× 63 2.7× 15 1.0× 35 246
Taiki Todo 191 1.0× 158 1.1× 34 0.9× 36 1.6× 5 0.3× 31 250
Nima Haghpanah 226 1.1× 60 0.4× 47 1.3× 43 1.9× 41 2.7× 26 298
Shao Chin Sung 141 0.7× 162 1.1× 32 0.9× 34 1.5× 10 0.7× 21 240
Bart de Keijzer 141 0.7× 105 0.7× 20 0.5× 22 1.0× 10 0.7× 28 179

Countries citing papers authored by Alexander Skopalik

Since Specialization
Citations

This map shows the geographic impact of Alexander Skopalik'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 Alexander Skopalik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Skopalik more than expected).

Fields of papers citing papers by Alexander Skopalik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Skopalik. 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 Alexander Skopalik. The network helps show where Alexander Skopalik may publish in the future.

Co-authorship network of co-authors of Alexander Skopalik

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Skopalik. A scholar is included among the top collaborators of Alexander Skopalik 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 Alexander Skopalik. Alexander Skopalik 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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