Karen Seidel

23 total papers · 673 total citations
9 papers, 317 citations indexed

About

Karen Seidel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Karen Seidel has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Oncology. Recurrent topics in Karen Seidel's work include Logic, Reasoning, and Knowledge (6 papers), Logic, programming, and type systems (5 papers) and Formal Methods in Verification (3 papers). Karen Seidel is often cited by papers focused on Logic, Reasoning, and Knowledge (6 papers), Logic, programming, and type systems (5 papers) and Formal Methods in Verification (3 papers). Karen Seidel collaborates with scholars based in United Kingdom, Germany and United States. Karen Seidel's co-authors include Annabelle McIver, Carroll Morgan, He Jifeng, J. W. Sanders, Leonid Hanin, Dietrich Stoevesandt and Burkhard Jandrig and has published in prestigious journals such as Mathematical Biosciences, Theoretical Computer Science and Journal of Mathematical Biology.

In The Last Decade

Karen Seidel

7 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Karen Seidel 253 212 57 47 29 9 317
Federico Olmedo 209 0.8× 113 0.5× 33 0.6× 32 0.7× 19 0.7× 13 233
Ramarathnam Venkatesan 180 0.7× 112 0.5× 90 1.6× 36 0.8× 80 2.8× 23 305
Yi Zhang 258 1.0× 111 0.5× 18 0.3× 48 1.0× 25 0.9× 12 348
Peter van Rossum 127 0.5× 58 0.3× 28 0.5× 64 1.4× 49 1.7× 22 344
Jacques Loeckx 261 1.0× 257 1.2× 56 1.0× 41 0.9× 28 1.0× 18 346
Edward H. Sussenguth 124 0.5× 103 0.5× 19 0.3× 106 2.3× 36 1.2× 9 311
Rob Taylor 143 0.6× 168 0.8× 6 0.1× 23 0.5× 66 2.3× 12 305
R.J. vanGlabbeek 247 1.0× 297 1.4× 50 0.9× 61 1.3× 24 0.8× 10 351
Universit it Postfach 156 0.6× 87 0.4× 18 0.3× 52 1.1× 30 1.0× 14 238
Edgar T. Irons 241 1.0× 148 0.7× 39 0.7× 41 0.9× 43 1.5× 14 315

Countries citing papers authored by Karen Seidel

Since Specialization
Citations

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

Fields of papers citing papers by Karen Seidel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Seidel

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