Kaushik Ghosh

48 papers receiving 599 citations

Peers

Kaushik Ghosh
Comparison fields: 5 of 99
  • Information Systems 314
  • Computer Networks and Communications 113
  • Human-Computer Interaction 101
  • Education 92
  • Management Science and Operations Research 79
Replace Stefan Cronholm with:
Stefan Cronholm Sweden
Zixing Shen United States
Divya Ramachandran United States
Alexei Tretiakov New Zealand
Suree Funilkul Thailand
Paul Lefrère United Kingdom
Lynne Blair United Kingdom
Stuart Charters New Zealand
John Eklund United States
André P. Calitz South Africa
Kaushik Ghosh relative to Stefan Cronholm Sweden Stefan Cronholm's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Kaushik Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Kaushik Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaushik Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Kaushik Ghosh. A scholar is included among the top collaborators of Kaushik Ghosh 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 Kaushik Ghosh. Kaushik Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4
Digital Transformation Strategies for Healthcare Providers: Perspectives from Senior Leadership
4
5
Healthcare IT: Current Research and Future Trends
2
6 1
7 2
8 13
9
Open Source Software and Performance: A Fit Perspective
3
10 7
11
Use of Social Media by U.S. Colleges: Potential and Pitfalls
7
12 8
13 2
14
Assessing the Impact of Project Founder Reputation and Project Structure on Motivation to Participate in Open Source Software Projects
1
15 116
16 3
17 5
18 8
19
Parallel Discrete Event Simulation Using Space-Time Memory
43
20 1

About Kaushik Ghosh

Kaushik Ghosh is a scholar working on Business and International Management, Computer Science Applications and Hardware and Architecture, having authored 54 papers that have together received 653 indexed citations. Recurring topics across this work include ICT in Developing Communities (7 papers), Open Source Software Innovations (6 papers) and Simulation Techniques and Applications (6 papers). The work is most often cited by research in Business and International Management (41 citations), Human-Computer Interaction (101 citations) and Information Systems (314 citations). Kaushik Ghosh has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Tapan S. Parikh, Apala Lahiri Chavan, Richard M. Fujimoto, Kentaro Toyama, Karsten Schwan, Milam Aiken, Jiban Khuntia, Michael S. Dohan, Sudhir K. Chawla and Xiaodong Deng. Their work appears in journals such as Journal of the Association for Information Systems, Industrial Management & Data Systems and BMC Geriatrics.

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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