Richard C. Waters

107 total papers · 2.7k total citations
81 papers, 1.9k citations indexed

About

Richard C. Waters is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Richard C. Waters has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 25 papers in Information Systems and 17 papers in Computer Networks and Communications. Recurrent topics in Richard C. Waters's work include Software Engineering Research (22 papers), Logic, programming, and type systems (20 papers) and Parallel Computing and Optimization Techniques (16 papers). Richard C. Waters is often cited by papers focused on Software Engineering Research (22 papers), Logic, programming, and type systems (20 papers) and Parallel Computing and Optimization Techniques (16 papers). Richard C. Waters collaborates with scholars based in United States, Japan and Germany. Richard C. Waters's co-authors include Charles Rich, John Barrus, Howard Reubenstein, David Anderson, Yves Schabes, Kieran A. Ryan, Paul W. O’Toole, Howard Shrobe, Chia Shen and William Yerazunis and has published in prestigious journals such as IEEE Transactions on Software Engineering, Fuzzy Sets and Systems and Computer.

In The Last Decade

Richard C. Waters

71 papers receiving 1.6k citations

Author Peers

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

Author						Papers	Cites
Richard C. Waters	911	775	426	410	159	81	1.9k
Howard Shrobe	1.2k 1.3×	520 0.7×	240 0.6×	648 1.6×	171 1.1×	86	2.1k
Dávid Molnár	863 0.9×	1.2k 1.6×	786 1.8×	571 1.4×	139 0.9×	56	2.4k
Martin Griss	1.2k 1.3×	1.2k 1.5×	328 0.8×	483 1.2×	101 0.6×	109	2.0k
Sunil Vadera	847 0.9×	448 0.6×	320 0.8×	206 0.5×	77 0.5×	58	1.6k
Dave Towey	446 0.5×	864 1.1×	1.2k 2.9×	419 1.0×	153 1.0×	159	2.1k
James O. Coplien	951 1.0×	1.1k 1.4×	396 0.9×	385 0.9×	113 0.7×	54	1.8k
Ivano Malavolta	928 1.0×	1.4k 1.8×	613 1.4×	1.1k 2.7×	82 0.5×	132	2.3k
Bran Selić	991 1.1×	1.0k 1.4×	953 2.2×	633 1.5×	398 2.5×	102	2.1k
Robert Hirschfeld	1.2k 1.3×	884 1.1×	367 0.9×	758 1.8×	323 2.0×	201	1.8k
Nahid Shahmehri	416 0.5×	765 1.0×	320 0.8×	574 1.4×	81 0.5×	123	1.6k

Countries citing papers authored by Richard C. Waters

Since Specialization

Citations

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

Fields of papers citing papers by Richard C. Waters

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard C. Waters. 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 Richard C. Waters. The network helps show where Richard C. Waters may publish in the future.

Co-authorship network of co-authors of Richard C. Waters

This figure shows the co-authorship network connecting the top 25 collaborators of Richard C. Waters. A scholar is included among the top collaborators of Richard C. Waters 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 Richard C. Waters. Richard C. Waters 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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