Kevin Read

557 citations
40 papers · 360 · h-index 11

Impact in

Papers in

Kevin Read

39 papers receiving 326 citations

Peers

Kevin Read
Comparison fields: 5 of 73
  • Information Systems and Management 120
  • Information Systems 198
  • Management Science and Operations Research 101
  • Health Informatics 5
  • Neuropsychology and Physiological Psychology 5
Replace José Alberto Maldonado with:
José Alberto Maldonado Spain
Lisa Federer United States
Natalie Harrower Ireland
Nancy K. Roderer United States
Harshvardhan J. Pandit Ireland
Tonya Hongsermeier United States
Nancy Pontika United Kingdom
Daniel Essin United States
Najwa Hayaati Mohd Alwi Malaysia
Simon Vrhovec Slovenia
Kevin Read relative to José Alberto Maldonado Spain José Alberto Maldonado's profile →
Citations per field
00.5×2.8×
José Alberto Maldonado · 1×
Citations per year

Countries citing papers authored by Kevin Read

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kevin Read, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kevin Read Line = papers co-authored together Kevin Read links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201564
2 202230
3 200328
4 201524
5 201521
6 201720
7 201918
8 202015
9 201914
10 201913
11 200612
12 202110
13 201810
14 200710
15 20179
16 20218
17 20097
18 20156
19 20075
20 20234

About Kevin Read

Kevin Read is a scholar working on Information Systems, Computer Networks and Communications, Management Science and Operations Research, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 360 indexed citations. Recurring topics across this work include Research Data Management Practices (12 papers), Data Quality and Management (5 papers), Semantic Web and Ontologies (3 papers), Ethics in Clinical Research (3 papers), Bluetooth and Wireless Communication Technologies (3 papers), Advanced Database Systems and Queries (2 papers), Data Management and Algorithms (2 papers) and Health Sciences Research and Education (2 papers). The work is most often cited by research in Information Systems and Management (120 citations), Information Systems (198 citations), Management Science and Operations Research (101 citations), Health Informatics (5 citations) and Neuropsychology and Physiological Psychology (5 citations). Kevin Read has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Alisa Surkis, Frank Maurer, Catherine Larson, Lisa Federer, Grigori Melnik, Joey Nicholson, Colleen Gillespie, Erin D. Foster, Aileen McCrillis and Michael F. Huerta. Their work appears in journals such as Journal of the Medical Library Association JMLA, PLoS ONE, European Journal of Public Health, FACETS and Journal of Communication Management.

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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