Arpan Kumar Kar

241 papers receiving 15.6k citations

Arpan Kumar Kar's Hit Papers

AI Agents and Agentic Systems: A Multi-Expert Analysis 2025 · 55 citations
550+2+4Years since publication50010001.5k2.0k2.5k

Peers

Arpan Kumar Kar
Comparison fields: 5 of 200
  • Health Informatics 1.5k
  • Information Systems and Management 2.3k
  • Management Information Systems 2.5k
  • Marketing 1.7k
  • Safety Research 1.1k
Replace Yanqing Duan with:
Yanqing Duan United Kingdom
Ramakrishnan Raman India
Ilias O. Pappas Norway
Laurie Hughes United Kingdom
Nir Kshetri United States
Marijn Janssen Netherlands
Emmanuel Mogaji United Kingdom
Robert M. Davison Hong Kong
Paul Jones United Kingdom
John Steven Edwards United Kingdom
Arpan Kumar Kar relative to Yanqing Duan United Kingdom Yanqing Duan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arpan Kumar Kar

Since Specialization
Citations

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

Fields of papers citing papers by Arpan Kumar Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arpan Kumar Kar. 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 Arpan Kumar Kar. The network helps show where Arpan Kumar Kar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 248 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
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20192937
2
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
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20232665
3
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
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2023455
4
Bio inspired computing – A review of algorithms and scope of applications
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2016452
5
Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India
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2020345
6 2017330
7
Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions
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2020313
8
Impact of artificial intelligence on employees working in industry 4.0 led organizations
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2021280
9
How can artificial intelligence impact sustainability: A systematic literature review
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2022252
10
Theory building with big data-driven research – Moving away from the “What” towards the “Why”
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2020245
11
Big data with cognitive computing: A review for the future
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2018244
12
Applications of text mining in services management: A systematic literature review
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2021235
13 2021224
14
What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”
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2020216
15
Applications of big data in emerging management disciplines: A literature review using text mining
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2021210
16
Perceived usefulness, ease of use and user acceptance of blockchain technology for digital transactions – insights from user-generated content on Twitter
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2019205
17 2018197
18 2017195
19 2018189
20
What impacts customer experience for B2B enterprises on using AI-enabled chatbots? Insights from Big data analytics
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2021188

About Arpan Kumar Kar

Arpan Kumar Kar is a scholar working on Information Systems and Management, Management Information Systems, Marketing, Sociology and Political Science and Information Systems, having authored 248 papers that have together received 16.4k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (63 papers), Technology Adoption and User Behaviour (48 papers), Blockchain Technology Applications and Security (26 papers), Big Data and Business Intelligence (22 papers), Sentiment Analysis and Opinion Mining (20 papers), Smart Cities and Technologies (20 papers), Complex Network Analysis Techniques (16 papers) and E-Government and Public Services (15 papers). The work is most often cited by research in Health Informatics (1.5k citations), Information Systems and Management (2.3k citations), Management Information Systems (2.5k citations), Marketing (1.7k citations) and Safety Research (1.1k citations). Arpan Kumar Kar has collaborated with scholars based in India, United Kingdom and France. Frequent co-authors include Purva Grover, Yogesh Kumar Dwivedi, P. Vigneswara Ilavarasan, Sheshadri Chatterjee, Amit Kumar Kushwaha, Marijn Janssen, Shivam Gupta, Amrita Chakraborty, Reema Aswani and Vinay Kumar Singh. Their work appears in journals such as Information Systems Frontiers, International Journal of Information Management, Technological Forecasting and Social Change, Journal of the Association for Information Systems and Global Journal of Flexible Systems Management.

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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