Todd Eavis

About

Todd Eavis is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Todd Eavis has authored 12 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Signal Processing and 6 papers in Information Systems. Recurrent topics in Todd Eavis’s work include Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (9 papers) and Data Mining Algorithms and Applications (4 papers). Todd Eavis is often cited by papers focused on Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (9 papers) and Data Mining Algorithms and Applications (4 papers). Todd Eavis collaborates with scholars based in Canada, United States and Saudi Arabia. Todd Eavis's co-authors include Andrew Rau‐Chaplin, Frank Dehne, Susanne E. Hambrusch, Ying Chen, Nasser Taleb, Anisoara Nica, Goetz Graefe, Ilia Petrov, Thomas Neumann and Asadullah Shaikh and has published in prestigious journals such as Future Generation Computer Systems, Compositio Mathematica and Distributed and Parallel Databases.

In The Last Decade

Co-authorship network of co-authors of Todd Eavis i

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Fields of papers citing papers by Todd Eavis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Todd Eavis

Since Specialization

Citations

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