Daniel G. Arce M.

20 total papers · 912 total citations
18 papers, 542 citations indexed

About

Daniel G. Arce M. is a scholar working on Safety Research, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Daniel G. Arce M. has authored 18 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Safety Research, 8 papers in Sociology and Political Science and 8 papers in Management Science and Operations Research. Recurrent topics in Daniel G. Arce M.'s work include Experimental Behavioral Economics Studies (9 papers), Game Theory and Applications (8 papers) and Evolutionary Game Theory and Cooperation (4 papers). Daniel G. Arce M. is often cited by papers focused on Experimental Behavioral Economics Studies (9 papers), Game Theory and Applications (8 papers) and Evolutionary Game Theory and Cooperation (4 papers). Daniel G. Arce M. collaborates with scholars based in United States and Brazil. Daniel G. Arce M.'s co-authors include Todd Sandler and Jo�ão Ricardo Faria and has published in prestigious journals such as Journal of Conflict Resolution, Public Choice and European Journal of Political Economy.

In The Last Decade

Daniel G. Arce M.

18 papers receiving 497 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel G. Arce M. 324 130 76 61 56 18 542
Kevin Siqueira 420 1.3× 85 0.7× 62 0.8× 20 0.3× 59 1.1× 25 530
Thomas W. Haase 262 0.8× 56 0.4× 35 0.5× 47 0.8× 75 1.3× 15 489
Mareile Kaufmann 361 1.1× 20 0.2× 136 1.8× 9 0.1× 23 0.4× 26 557
Naomi Aoki 202 0.6× 39 0.3× 74 1.0× 16 0.3× 17 0.3× 29 510
Lynn T. Drennan 249 0.8× 59 0.5× 66 0.9× 43 0.7× 43 0.8× 10 514
Carmit Rapaport 408 1.3× 28 0.2× 67 0.9× 12 0.2× 33 0.6× 29 601
Fatih Demiroz 338 1.0× 32 0.2× 37 0.5× 35 0.6× 71 1.3× 15 534
Ian Belton 199 0.6× 42 0.3× 21 0.3× 53 0.9× 5 0.1× 24 459
William W. Lowrance 173 0.5× 41 0.3× 18 0.2× 15 0.2× 44 0.8× 14 619
Gordon H. McCormick 388 1.2× 30 0.2× 115 1.5× 11 0.2× 8 0.1× 24 457

Countries citing papers authored by Daniel G. Arce M.

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Arce M.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Arce M.. 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 Daniel G. Arce M.. The network helps show where Daniel G. Arce M. may publish in the future.

Co-authorship network of co-authors of Daniel G. Arce M.

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Arce M.. A scholar is included among the top collaborators of Daniel G. Arce M. 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 Daniel G. Arce M.. Daniel G. Arce M. 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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