Edward J. Wegman

231 total papers · 4.7k total citations
114 papers, 2.8k citations indexed

About

Edward J. Wegman is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Edward J. Wegman has authored 114 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 27 papers in Statistics and Probability and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Edward J. Wegman's work include Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (15 papers) and Bayesian Methods and Mixture Models (10 papers). Edward J. Wegman is often cited by papers focused on Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (15 papers) and Bayesian Methods and Mixture Models (10 papers). Edward J. Wegman collaborates with scholars based in United States, Egypt and United Kingdom. Edward J. Wegman's co-authors include David R. Brillinger, Ian W. Wright, Tim Robertson, S.A. Kassam, John B. Thomas, S.C. Schwartz, David J. Marchette, W. D. Ray, James G. Smith and Jeffrey L. Solka and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Technometrics.

In The Last Decade

Edward J. Wegman

106 papers receiving 2.5k citations

Hit Papers

Time Series Data Analysis... 1976 2026 1992 2009 1976 1990 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Edward J. Wegman 829 761 528 423 261 114 2.8k
Alan Julian Izenman 757 0.9× 763 1.0× 352 0.7× 250 0.6× 198 0.8× 47 3.3k
J. S. Marron 1.1k 1.4× 651 0.9× 380 0.7× 161 0.4× 249 1.0× 77 2.8k
James E. Gentle 520 0.6× 709 0.9× 341 0.6× 165 0.4× 222 0.9× 66 3.5k
Anestis Antoniadis 1.0k 1.2× 557 0.7× 1.1k 2.1× 258 0.6× 309 1.2× 110 3.9k
Gábor J. Székely 1.0k 1.2× 845 1.1× 655 1.2× 153 0.4× 123 0.5× 113 4.3k
Theofanis Sapatinas 555 0.7× 585 0.8× 881 1.7× 268 0.6× 206 0.8× 61 2.8k
Homer F. Walker 499 0.6× 1.2k 1.5× 481 0.9× 339 0.8× 181 0.7× 55 4.8k
Alexandre d’Aspremont 626 0.8× 768 1.0× 535 1.0× 340 0.8× 135 0.5× 60 2.9k
Igor Vajda 1.1k 1.3× 744 1.0× 235 0.4× 122 0.3× 128 0.5× 107 2.5k
Marc Lavielle 1.2k 1.4× 707 0.9× 152 0.3× 225 0.5× 222 0.9× 88 3.9k

Countries citing papers authored by Edward J. Wegman

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Wegman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward J. Wegman. 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 Edward J. Wegman. The network helps show where Edward J. Wegman may publish in the future.

Co-authorship network of co-authors of Edward J. Wegman

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Wegman. A scholar is included among the top collaborators of Edward J. Wegman 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 Edward J. Wegman. Edward J. Wegman 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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