Tom Walsh

2 papers and 19 indexed citations i.

About

Tom Walsh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Pollution. According to data from OpenAlex, Tom Walsh has authored 2 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Pollution. Recurrent topics in Tom Walsh’s work include Distributed and Parallel Computing Systems (1 paper), Oil Spill Detection and Mitigation (1 paper) and Computational Physics and Python Applications (1 paper). Tom Walsh is often cited by papers focused on Distributed and Parallel Computing Systems (1 paper), Oil Spill Detection and Mitigation (1 paper) and Computational Physics and Python Applications (1 paper). Tom Walsh collaborates with scholars based in United Kingdom. Tom Walsh's co-authors include and and has published in prestigious journals such as The Physics Teacher and International Oil Spill Conference Proceedings.

In The Last Decade

No nodes

Fields of papers citing papers by Tom Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Walsh

Since Specialization
Citations

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