Kumar Biswas

22 papers receiving 343 citations

Kumar Biswas's Hit Papers

Algorithmic bias in machine learning-based marketing models 2022 · 127 citations
1270+1+2Years since publication4080120

Peers

Kumar Biswas
Comparison fields: 5 of 93
  • Health Informatics 25
  • Management Information Systems 60
  • Safety Research 47
  • Marketing 45
  • Organizational Behavior and Human Resource Management 44
Replace Shikha N. Khera with:
Shikha N. Khera India
Alexander A. Kharlamov United Kingdom
Karen Elliott United Kingdom
Cindy Schaefer Germany
Subhashini Durai India
Mario D. Schultz Switzerland
Yuan Pan Germany
Eddy S. Fang China
Sunitha Purushottam Ashtikar India
Mark Ashton United Kingdom
Kumar Biswas relative to Shikha N. Khera India Shikha N. Khera's profile →
Citations per field
00.5×1.5×2.4×
Shikha N. Khera · 1×
Citations per year

Countries citing papers authored by Kumar Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Algorithmic bias in machine learning-based marketing models
Hit paper breakdown →
2022127
2 202148
3 201836
4 201135
5 202322
6 202019
7 202016
8 201612
9 201610
10 20257
11 20197
12 20186
13 20206
14 20205
15 20224
16
Corporate Financial Reporting on the Internet: Evidence from Bangladesh
20123
17
TV-Based Learning in Bangladesh : Is it Reaching Students?
20203
18 20232
19 20232
20 20221

About Kumar Biswas

Kumar Biswas is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, Education, Information Systems and Marketing, having authored 25 papers that have together received 373 indexed citations. Recurring topics across this work include Gender Diversity and Inequality (3 papers), Work-Family Balance Challenges (3 papers), AI and HR Technologies (3 papers), Blockchain Technology Applications and Security (2 papers), Environmental Education and Sustainability (2 papers), AI in Service Interactions (2 papers), Environmental Sustainability in Business (2 papers) and Microfinance and Financial Inclusion (2 papers). The work is most often cited by research in Health Informatics (25 citations), Management Information Systems (60 citations), Safety Research (47 citations), Marketing (45 citations) and Organizational Behavior and Human Resource Management (44 citations). Kumar Biswas has collaborated with scholars based in Australia, United Kingdom and Bangladesh. Frequent co-authors include Shahriar Akter, Ruwan Bandara, Yogesh K. Dwivedi, Shahriar Sajib, Katina Michael, Brendan Boyle, Mary Barrett, Samuel Fosso Wamba, Asit Bhattacharyya and Sudipta Bose. Their work appears in journals such as The International Journal of Human Resource Management, Journal of Strategic Marketing, Production Planning & Control, Education + Training and Journal of Economic Behavior & Organization.

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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