Deborah J. Mayhew

41 total papers · 2.5k total citations
17 papers, 1.2k citations indexed

About

Deborah J. Mayhew is a scholar working on Human-Computer Interaction, Information Systems and Artificial Intelligence. According to data from OpenAlex, Deborah J. Mayhew has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Human-Computer Interaction, 3 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Deborah J. Mayhew's work include Usability and User Interface Design (6 papers), Advanced Software Engineering Methodologies (2 papers) and Software Engineering Techniques and Practices (2 papers). Deborah J. Mayhew is often cited by papers focused on Usability and User Interface Design (6 papers), Advanced Software Engineering Methodologies (2 papers) and Software Engineering Techniques and Practices (2 papers). Deborah J. Mayhew collaborates with scholars based in United States. Deborah J. Mayhew's co-authors include Randolph G. Bias, Janice M. Keenan, Brian MacWhinney, Marilyn Mantei, Stephen Roberts, Allen Cypher, Angela S. Lindner and Rolf Molich and has published in prestigious journals such as interactions, Journal of Verbal Learning and Verbal Behavior and Morgan Kaufmann Publishers Inc. eBooks.

In The Last Decade

Deborah J. Mayhew

16 papers receiving 914 citations

Author Peers

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

Author						Papers	Cites
Deborah J. Mayhew	525	321	158	147	133	17	1.2k
Virginia A. Diehl	362 0.7×	219 0.7×	145 0.9×	145 1.0×	130 1.0×	16	1.1k
William Albert	433 0.8×	234 0.7×	85 0.5×	194 1.3×	147 1.1×	21	1.3k
Melody Y. Ivory	535 1.0×	453 1.4×	152 1.0×	161 1.1×	86 0.6×	25	1.2k
Andreas Hinderks	510 1.0×	219 0.7×	172 1.1×	165 1.1×	241 1.8×	31	1.4k
Janet Finlay	497 0.9×	234 0.7×	177 1.1×	178 1.2×	79 0.6×	42	1.0k
Douglas C. Engelbart	346 0.7×	236 0.7×	237 1.5×	191 1.3×	76 0.6×	31	1.0k
William L. Verplank	586 1.1×	147 0.5×	106 0.7×	116 0.8×	78 0.6×	15	937
Christine A. Halverson	309 0.6×	253 0.8×	289 1.8×	240 1.6×	137 1.0×	29	1.2k
Marilyn Mantei	560 1.1×	249 0.8×	179 1.1×	220 1.5×	216 1.6×	38	1.1k
J. M. Christian Bastien	366 0.7×	184 0.6×	80 0.5×	124 0.8×	149 1.1×	35	1.0k

Countries citing papers authored by Deborah J. Mayhew

Since Specialization

Citations

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

Fields of papers citing papers by Deborah J. Mayhew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah J. Mayhew. 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 Deborah J. Mayhew. The network helps show where Deborah J. Mayhew may publish in the future.

Co-authorship network of co-authors of Deborah J. Mayhew

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah J. Mayhew. A scholar is included among the top collaborators of Deborah J. Mayhew 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 Deborah J. Mayhew. Deborah J. Mayhew 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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