Eileen Cornell Way

30 total papers · 468 total citations
12 papers, 256 citations indexed

About

Eileen Cornell Way is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Eileen Cornell Way has authored 12 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Control and Systems Engineering. Recurrent topics in Eileen Cornell Way's work include Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers) and Language, Metaphor, and Cognition (2 papers). Eileen Cornell Way is often cited by papers focused on Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers) and Language, Metaphor, and Cognition (2 papers). Eileen Cornell Way collaborates with scholars based in United States, Czechia and Poland. Eileen Cornell Way's co-authors include John F. Sowa, George J. Klir, Radim Bělohlávek, Harold W. Lewis, Donald C. Gause, Bob Woods, Jay E. Aronson and Eric Dietrich and has published in prestigious journals such as Behavioral and Brain Sciences, IBM Journal of Research and Development and American Behavioral Scientist.

In The Last Decade

Eileen Cornell Way

11 papers receiving 221 citations

Author Peers

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

Author Last Decade Papers Cites
Eileen Cornell Way 117 55 40 35 21 12 256
Lyndsey Franklin 80 0.7× 32 0.6× 34 0.8× 17 0.5× 25 1.2× 19 261
Wayne Iba 151 1.3× 46 0.8× 35 0.9× 11 0.3× 15 0.7× 18 291
Pero Subašić 212 1.8× 24 0.4× 42 1.1× 27 0.8× 26 1.2× 12 262
Matthew T. McMahon 89 0.8× 58 1.1× 12 0.3× 23 0.7× 73 3.5× 9 327
Grégoire Winterstein 245 2.1× 28 0.5× 36 0.9× 17 0.5× 29 1.4× 21 308
Alison K. Huettner 278 2.4× 30 0.5× 58 1.4× 11 0.3× 28 1.3× 10 325
Leonid Boytsov 196 1.7× 106 1.9× 44 1.1× 10 0.3× 4 0.2× 10 261
Jesús M. Larrazabal 174 1.5× 45 0.8× 8 0.2× 8 0.2× 8 0.4× 10 265
David Russell 94 0.8× 24 0.4× 24 0.6× 18 0.5× 14 0.7× 25 252
S. Hunka 133 1.1× 36 0.7× 47 1.2× 125 3.6× 4 0.2× 13 316

Countries citing papers authored by Eileen Cornell Way

Since Specialization
Citations

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

Fields of papers citing papers by Eileen Cornell Way

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eileen Cornell Way. 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 Eileen Cornell Way. The network helps show where Eileen Cornell Way may publish in the future.

Co-authorship network of co-authors of Eileen Cornell Way

This figure shows the co-authorship network connecting the top 25 collaborators of Eileen Cornell Way. A scholar is included among the top collaborators of Eileen Cornell Way 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 Eileen Cornell Way. Eileen Cornell Way 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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