Max Klimm

140 total papers · 869 total citations
39 papers, 244 citations indexed

About

Max Klimm is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Max Klimm has authored 39 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 20 papers in Economics and Econometrics and 12 papers in Computer Networks and Communications. Recurrent topics in Max Klimm's work include Game Theory and Voting Systems (20 papers), Game Theory and Applications (18 papers) and Auction Theory and Applications (12 papers). Max Klimm is often cited by papers focused on Game Theory and Voting Systems (20 papers), Game Theory and Applications (18 papers) and Auction Theory and Applications (12 papers). Max Klimm collaborates with scholars based in Germany, United Kingdom and Netherlands. Max Klimm's co-authors include Tobias Harks, Rolf H. Möhring, Felix Fischer, Yann Disser, Felix R. Fischer, Ewgenij Gawrilow, Martin Hoefer, Alexander Skopalik, Nicole Megow and Sebastian Stiller and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Computing and SIAM Journal on Optimization.

In The Last Decade

Max Klimm

34 papers receiving 239 citations

Author Peers

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

Author						Papers	Cites
Max Klimm	171	133	57	33	18	39	244
Spyros Kontogiannis	177 1.0×	128 1.0×	54 0.9×	11 0.3×	27 1.5×	27	264
Yukun Cheng	69 0.4×	55 0.4×	64 1.1×	16 0.5×	7 0.4×	33	229
Lina Mallozzi	118 0.7×	122 0.9×	16 0.3×	19 0.6×	5 0.3×	37	238
Bernardo D’Auria	117 0.7×	16 0.1×	71 1.2×	47 1.4×	16 0.9×	33	266
Naoyuki Kamiyama	51 0.3×	76 0.6×	46 0.8×	18 0.5×	18 1.0×	70	223
Mourad Baı̈ou	79 0.5×	128 1.0×	46 0.8×	52 1.6×	7 0.4×	37	255
Josh Reed	103 0.6×	37 0.3×	37 0.6×	22 0.7×	31 1.7×	26	263
Neil Olver	82 0.5×	38 0.3×	60 1.1×	34 1.0×	10 0.6×	25	195
Paul Dütting	253 1.5×	91 0.7×	85 1.5×	6 0.2×	5 0.3×	46	322
Matúš Mihaľák	55 0.3×	18 0.1×	60 1.1×	65 2.0×	21 1.2×	38	222

Countries citing papers authored by Max Klimm

Since Specialization

Citations

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

Fields of papers citing papers by Max Klimm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Klimm

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