Prabin Kumar Panigrahi
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Sociology and Political Science top 10%
- Economics and Econometrics top 10%
- Co-authors
- Brij B. GuptaAkshat GauravAnuj SharmaVarsha AryaPraveen Ranjan SrivastavaRitanjali PanigrahiShashi SrivastavaKhadija Ali Vakeel
- Topics
- Big Data and Business Intelligence (6 papers)Technology Adoption and User Behaviour (6 papers)Sentiment Analysis and Opinion Mining (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Business ResearchTechnological Forecasting and Social Change
In The Last Decade
Prabin Kumar Panigrahi
42 papers receiving 754 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 231
- Information Systems 171
- Computer Networks and Communications 125
- Sociology and Political Science 123
- Economics and Econometrics 90
Countries citing papers authored by Prabin Kumar Panigrahi
This map shows the geographic impact of Prabin Kumar Panigrahi'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 Prabin Kumar Panigrahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabin Kumar Panigrahi more than expected).
Fields of papers citing papers by Prabin Kumar Panigrahi
This network shows the impact of papers produced by Prabin Kumar Panigrahi. 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 Prabin Kumar Panigrahi. The network helps show where Prabin Kumar Panigrahi may publish in the future.
Co-authorship network of co-authors of Prabin Kumar Panigrahi
This figure shows the co-authorship network connecting the top 25 collaborators of Prabin Kumar Panigrahi. A scholar is included among the top collaborators of Prabin Kumar Panigrahi 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 Prabin Kumar Panigrahi. Prabin Kumar Panigrahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 20 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 28 | |
| 11 | 104 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 74 | |
| 15 | 18 | |
| 16 | Defining Dimensions for Assessing Sustainability in e-Governance Projects | 0 |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 18 | |
| 20 | 10 |
About Prabin Kumar Panigrahi
Prabin Kumar Panigrahi is a scholar working on Information Systems and Management, Management Information Systems and Computer Science Applications, having authored 45 papers that have together received 813 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (6 papers), Technology Adoption and User Behaviour (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Business and International Management (33 citations), Health Informatics (15 citations) and Information Systems and Management (71 citations). Prabin Kumar Panigrahi has collaborated with scholars based in India, Taiwan and Lebanon. Frequent co-authors include Brij B. Gupta, Akshat Gaurav, Anuj Sharma, Varsha Arya, Praveen Ranjan Srivastava, Ritanjali Panigrahi, Shashi Srivastava, Khadija Ali Vakeel, Shrawan Kumar Trivedi and Shizhen Bai. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Technological Forecasting and Social Change.
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.