M. Catherine McCabe

16 total papers · 531 total citations
14 papers, 343 citations indexed

About

M. Catherine McCabe is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, M. Catherine McCabe has authored 14 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Computer Networks and Communications. Recurrent topics in M. Catherine McCabe's work include Semantic Web and Ontologies (8 papers), Data Management and Algorithms (6 papers) and Advanced Database Systems and Queries (5 papers). M. Catherine McCabe is often cited by papers focused on Semantic Web and Ontologies (8 papers), Data Management and Algorithms (6 papers) and Advanced Database Systems and Queries (5 papers). M. Catherine McCabe collaborates with scholars based in United States. M. Catherine McCabe's co-authors include Abdur Chowdhury, Ophir Frieder, David A. Grossman, David Holmes, Jinho Lee, D. Grossman, Steven M. Beitzel and Eric C. Jensen and has published in prestigious journals such as ACM Transactions on Information Systems, Digital Repository at the University of Maryland (University of Maryland College Park) and Text REtrieval Conference.

In The Last Decade

M. Catherine McCabe

14 papers receiving 295 citations

Author Peers

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

Author Last Decade Papers Cites
M. Catherine McCabe 228 213 90 82 65 14 343
Jamie Taylor 290 1.3× 96 0.5× 55 0.6× 100 1.2× 27 0.4× 7 389
Shui‐Lung Chuang 201 0.9× 241 1.1× 52 0.6× 48 0.6× 56 0.9× 18 326
Christoph Kiefer 235 1.0× 176 0.8× 158 1.8× 43 0.5× 79 1.2× 22 378
Sam Coppens 167 0.7× 190 0.9× 113 1.3× 70 0.9× 17 0.3× 30 328
Maliheh Izadi 164 0.7× 271 1.3× 49 0.5× 25 0.3× 33 0.5× 28 350
Sofia Angeletou 298 1.3× 210 1.0× 72 0.8× 42 0.5× 34 0.5× 12 359
Jinmook Kim 121 0.5× 296 1.4× 54 0.6× 56 0.7× 39 0.6× 13 383
Zhang Fan 130 0.6× 166 0.8× 111 1.2× 18 0.2× 49 0.8× 18 331
Varish Mulwad 198 0.9× 217 1.0× 120 1.3× 113 1.4× 58 0.9× 21 355
Robert McCann 232 1.0× 184 0.9× 178 2.0× 131 1.6× 64 1.0× 17 388

Countries citing papers authored by M. Catherine McCabe

Since Specialization
Citations

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

Fields of papers citing papers by M. Catherine McCabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Catherine McCabe. 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 M. Catherine McCabe. The network helps show where M. Catherine McCabe may publish in the future.

Co-authorship network of co-authors of M. Catherine McCabe

This figure shows the co-authorship network connecting the top 25 collaborators of M. Catherine McCabe. A scholar is included among the top collaborators of M. Catherine McCabe 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 M. Catherine McCabe. M. Catherine McCabe 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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