Michael Segal

312 total papers · 4.4k total citations
185 papers, 2.7k citations indexed

About

Michael Segal is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Michael Segal has authored 185 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Computer Networks and Communications, 49 papers in Electrical and Electronic Engineering and 27 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Michael Segal's work include Mobile Ad Hoc Networks (64 papers), Energy Efficient Wireless Sensor Networks (31 papers) and Computational Geometry and Mesh Generation (27 papers). Michael Segal is often cited by papers focused on Mobile Ad Hoc Networks (64 papers), Energy Efficient Wireless Sensor Networks (31 papers) and Computational Geometry and Mesh Generation (27 papers). Michael Segal collaborates with scholars based in Israel, United States and Canada. Michael Segal's co-authors include Marc A. Baldo, Z. G. Soos, Stephen R. Forrest, Russell J. Holmes, Kirill Kogan, Sergei Bespamyatnikh, Madhusudan Singh, Kelley Rivoire, Troy Van Voorhis and Alex Kesselman and has published in prestigious journals such as Nature, Physical Review Letters and Nature Materials.

In The Last Decade

Michael Segal

170 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Michael Segal 1.2k 844 635 244 229 185 2.7k
J. Vondrák 756 0.6× 716 0.8× 165 0.3× 216 0.9× 35 0.2× 178 2.8k
Quan Zhou 1.1k 0.9× 321 0.4× 642 1.0× 206 0.8× 1.4k 6.3× 310 5.0k
Chun‐Cheng Lin 988 0.8× 966 1.1× 132 0.2× 292 1.2× 165 0.7× 190 3.3k
Yin Chen 1.7k 1.4× 325 0.4× 154 0.2× 156 0.6× 173 0.8× 195 3.0k
Sanguthevar Rajasekaran 470 0.4× 735 0.9× 552 0.9× 1.1k 4.5× 131 0.6× 267 3.6k
Atsushi Takahashi 1.5k 1.2× 192 0.2× 695 1.1× 155 0.6× 109 0.5× 200 2.5k
Claudio Gutiérrez 545 0.4× 1.2k 1.5× 698 1.1× 353 1.4× 100 0.4× 128 4.8k
Lijun Chen 2.7k 2.2× 1.3k 1.6× 92 0.1× 490 2.0× 426 1.9× 222 5.0k
Kao‐Shing Hwang 1.1k 0.9× 278 0.3× 930 1.5× 98 0.4× 814 3.6× 201 4.2k
Yu Zhang 763 0.6× 313 0.4× 524 0.8× 86 0.4× 462 2.0× 207 2.9k

Countries citing papers authored by Michael Segal

Since Specialization
Citations

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

Fields of papers citing papers by Michael Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Segal

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