Param Vir Singh

3.6k citations
89 papers · 2.7k · h-index 28

Impact in

Papers in

Param Vir Singh

83 papers receiving 2.6k citations

Peers

Param Vir Singh
Comparison fields: 5 of 101
  • Computer Science Applications 603
  • Communication 698
  • Marketing 550
  • Information Systems and Management 317
  • Management Information Systems 327
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Sam Ransbotham United States
Nicholas Berente United States
Likoebe M. Maruping United States
Dov Te’eni Israel
Terri L. Griffith United States
Alexander Richter Germany
Ivo Blohm Switzerland
Olivier Toubia United States
Sebastian Spaeth Switzerland
Timothy Paul Cronan United States
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Citations per field
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Citations per year

Countries citing papers authored by Param Vir Singh

Since Specialization
Citations

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

Fields of papers citing papers by Param Vir Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Param Vir Singh. 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 Param Vir Singh. The network helps show where Param Vir Singh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014180
2 2015151
3 2016150
4 2011147
5 2015120
6 2021118
7 2018112
8 201194
9 201389
10 201088
11 202187
12 201485
13 201983
14 201080
15 201272
16 201966
17 202164
18 201455
19 202150
20 201949

About Param Vir Singh

Param Vir Singh is a scholar working on Communication, Computer Science Applications, Management Science and Operations Research, Sociology and Political Science and Marketing, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Open Source Software Innovations (25 papers), Knowledge Management and Sharing (23 papers), Digital Marketing and Social Media (16 papers), Auction Theory and Applications (14 papers), Complex Network Analysis Techniques (9 papers), Consumer Market Behavior and Pricing (7 papers), Sharing Economy and Platforms (7 papers) and Software Engineering Research (7 papers). The work is most often cited by research in Computer Science Applications (603 citations), Communication (698 citations), Marketing (550 citations), Information Systems and Management (317 citations) and Management Information Systems (327 citations). Param Vir Singh has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Yan Huang, Kannan Srinivasan, Kannan Srinivasan, Anindya Ghose, Shunyuan Zhang, Tridas Mukhopadhyay, Linda Argote, Elina H. Hwang, Vijay Mookerjee and Yong Tan. Their work appears in journals such as Information Systems Research, Management Science, Journal of the Association for Information Systems, Marketing Science and MIS Quarterly.

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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