Eric McDermid

13 papers and 136 indexed citations i.

About

Eric McDermid is a scholar working on Computational Theory and Mathematics, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Eric McDermid has authored 13 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Economics and Econometrics and 4 papers in Computer Networks and Communications. Recurrent topics in Eric McDermid’s work include Combinatorial Optimization and Complexity Theory (9 papers), Game Theory and Voting Systems (8 papers) and Advanced Graph Theory Research (4 papers). Eric McDermid is often cited by papers focused on Combinatorial Optimization and Complexity Theory (9 papers), Game Theory and Voting Systems (8 papers) and Advanced Graph Theory Research (4 papers). Eric McDermid collaborates with scholars based in United Kingdom, United States and Hungary. Eric McDermid's co-authors include Péter Bíró, David F. Manlove, Robert W. Irving, Christine T. Cheng, I. Suzuki, Yuan Qu and Keith Edwards and has published in prestigious journals such as Theoretical Computer Science, Discrete Applied Mathematics and Algorithmica.

In The Last Decade

Co-authorship network of co-authors of Eric McDermid i

Fields of papers citing papers by Eric McDermid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eric McDermid

Since Specialization
Citations

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

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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2025