Dan Pritikin

38 total papers · 443 total citations
24 papers, 263 citations indexed

About

Dan Pritikin is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Dan Pritikin has authored 24 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 9 papers in Electrical and Electronic Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Dan Pritikin's work include Advanced Graph Theory Research (17 papers), Graph Labeling and Dimension Problems (9 papers) and Interconnection Networks and Systems (8 papers). Dan Pritikin is often cited by papers focused on Advanced Graph Theory Research (17 papers), Graph Labeling and Dimension Problems (9 papers) and Interconnection Networks and Systems (8 papers). Dan Pritikin collaborates with scholars based in United States, France and Spain. Dan Pritikin's co-authors include Zevi Miller, Tao Jiang, I. Hal Sudborough, Noga Alon, Ignacio M. Pelayo, Lauren Gardner, Stephen E. Wright, Anthony B. Evans, Gerd H. Fricke and Odile Favaron and has published in prestigious journals such as IEEE Transactions on Computers, SIAM Journal on Computing and American Mathematical Monthly.

In The Last Decade

Dan Pritikin

22 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Dan Pritikin 168 105 80 77 73 24 263
Geir Agnarsson 155 0.9× 73 0.7× 46 0.6× 30 0.4× 56 0.8× 27 246
Zevi Miller 183 1.1× 70 0.7× 63 0.8× 88 1.1× 67 0.9× 29 260
Stephen C. Locke 262 1.6× 173 1.6× 60 0.8× 96 1.2× 96 1.3× 32 313
Ko‐Wei Lih 204 1.2× 110 1.0× 30 0.4× 63 0.8× 49 0.7× 24 258
Michel Mollard 213 1.3× 63 0.6× 135 1.7× 138 1.8× 82 1.1× 30 317
John H. Lindsey 78 0.5× 144 1.4× 22 0.3× 90 1.2× 66 0.9× 26 306
J.L.A. Yebra 182 1.1× 141 1.3× 124 1.6× 184 2.4× 112 1.5× 24 319
Hian Poh Yap 219 1.3× 200 1.9× 20 0.3× 86 1.1× 104 1.4× 21 286
Claudine Peyrat 153 0.9× 54 0.5× 226 2.8× 95 1.2× 102 1.4× 15 316
Ajai Kapoor 213 1.3× 84 0.8× 42 0.5× 25 0.3× 59 0.8× 16 263

Countries citing papers authored by Dan Pritikin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Pritikin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Pritikin

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