Sarv Devaraj

8.4k citations
59 papers · 6.3k indexed · 4 hit papers · h-index 29

Sarv Devaraj

55 papers receiving 5.7k citations

Hit Papers

Research Note—How Does Personality Matter? Relating the F...53420022026201020182505007501000

Peers

Sarv Devaraj
Comparison fields: 5 of 123
  • Information Systems and Management 2.0k
  • Management Information Systems 2.2k
  • Strategy and Management 2.0k
  • Organizational Behavior and Human Resource Management 1.2k
  • Marketing 893
Replace Rajiv Kohli with:
Rajiv Kohli United States
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Citations per field
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Citations per year

Countries citing papers authored by Sarv Devaraj

Since Specialization
Citations

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

Fields of papers citing papers by Sarv Devaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20243
5 20238
6 20232
7 20231
8
Professional Skills and Soft Skills for LIS Professional in ICT Era
20193
9 20149
10
Examining the Impact of Information Technology on Healthcare Performance: A Theory of Swift and Even Flow (TSEF) Perspective
20131
11 2013129
12 201164
13 201027
14
The role of quality in e-procurement performance: An empirical analysis
20091
15
Technology's Effect on Firm Size: Manufacturing vs. Service
20081
16
Research Note—How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Usebreakdown →
2008534
17 200794
18 200481
19 2004111
20
The IT Payoff: Measuring the Business Value of Information Technology Investments
200257

About Sarv Devaraj

Sarv Devaraj is a scholar working on Management Information Systems, Information Systems and Management and Health Information Management, having authored 59 papers that have together received 6.3k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (14 papers), Quality and Supply Management (12 papers), Customer Service Quality and Loyalty (7 papers), Big Data and Business Intelligence (7 papers), Digital Platforms and Economics (6 papers), Electronic Health Records Systems (6 papers), Innovation and Knowledge Management (5 papers) and Sustainable Supply Chain Management (5 papers). The work is most often cited by research in Information Systems and Management (2.0k citations), Management Information Systems (2.2k citations) and Strategy and Management (2.0k citations). Sarv Devaraj has collaborated with scholars based in United States, India and Philippines. Frequent co-authors include Rajiv Kohli, Ming Fan, Robert F. Easley, J. Michael Crant, Jerry C. Wei, Lee J. Krajewski, Ganesh Vaidyanathan, John D’Arcy, Sanjay L. Ahire and Parthiban David. Their work appears in journals such as Journal of Operations Management, Journal of Management Information Systems, Decision Sciences, Communications of the ACM and Information Systems Research.

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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