Pradeep Ray

214 papers receiving 4.2k citations

Peers

Pradeep Ray
Comparison fields: 5 of 165
  • Information Systems and Management 682
  • Health Information Management 344
  • Management Information Systems 436
  • Organizational Behavior and Human Resource Management 408
  • Business and International Management 73
Replace Norm Archer with:
Norm Archer Canada
Guodong Gao United States
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Henry C. Lucas United States
Mirou Jaana Canada
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Ali Sunyaev Germany
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Pradeep Ray relative to Norm Archer Canada Norm Archer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pradeep Ray

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pradeep Ray, 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 Pradeep Ray Line = papers co-authored together Pradeep Ray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010310
2 2013209
3
An evaluation of PLS based complex models: the roles of power analysis, predictive relevance and GOF index
2011190
4 2010185
5 2013168
6 2010160
7 2012136
8 2012129
9 2013110
10 201591
11 200887
12 200586
13 201086
14 200477
15 201468
16 200868
17 201566
18 201261
19 201657
20 201555

About Pradeep Ray

Pradeep Ray is a scholar working on Information Systems, Artificial Intelligence, Management Information Systems, Computer Networks and Communications and General Health Professions, having authored 225 papers that have together received 4.4k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (42 papers), Business Process Modeling and Analysis (32 papers), Semantic Web and Ontologies (27 papers), Mobile Health and mHealth Applications (25 papers), Multi-Agent Systems and Negotiation (24 papers), Mobile Agent-Based Network Management (18 papers), Technology Adoption and User Behaviour (16 papers) and Electronic Health Records Systems (13 papers). The work is most often cited by research in Information Systems and Management (682 citations), Health Information Management (344 citations), Management Information Systems (436 citations), Organizational Behavior and Human Resource Management (408 citations) and Business and International Management (73 citations). Pradeep Ray has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Shahriar Akter, John D’Ambra, Amir Talaei‐Khoei, Siaw‐Teng Liaw, N. Parameswaran, Lundy Lewis, Fatema Khatun, C. Raina MacIntyre, Junhua Li and Holly Seale. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Medical Informatics, Telemedicine Journal and e-Health, Journal of Network and Computer Applications and Journal of Computer and System Sciences.

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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