Amit Datta

26 papers receiving 546 citations

Amit Datta's Hit Papers

Automated Experiments on Ad Privacy Settings 2015 · 338 citations
3380+3+7Years since publication100200300

Peers

Amit Datta
Comparison fields: 5 of 93
  • Health Informatics 27
  • Safety Research 156
  • Marketing 105
  • Artificial Intelligence 190
  • Tourism, Leisure and Hospitality Management 9
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John Tripp United States
Ruwan Bandara Australia
Nima Kordzadeh United States
Anastasia Sergeeva Netherlands
Susanne Barth Netherlands
Manuel Trenz Germany
Ioannis Magnisalis Greece
David Askay United States
Omer Tene Belgium
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Amit Datta relative to John Tripp United States John Tripp's profile →
Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Amit Datta

Since Specialization
Citations

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

Fields of papers citing papers by Amit Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Amit Datta, 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 Amit Datta Line = papers co-authored together Amit Datta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automated Experiments on Ad Privacy Settings
Hit paper breakdown →
2015338
2 201838
3 202334
4
Discrimination in Online Advertising: A Multidisciplinary Inquiry
201818
5 200914
6 202013
7 201511
8 202410
9 202210
10 201610
11 20239
12 20219
13 20199
14 20218
15
Modeling, Simulation and Optimization of High Performance CIGS Solar Cell
20128
16
Discrimination in Online Personalization: A Multidisciplinary Inquiry.
20187
17 20166
18 20156
19 20176
20 20156

About Amit Datta

Amit Datta is a scholar working on Marketing, Artificial Intelligence, Sociology and Political Science, Demography and Strategy and Management, having authored 28 papers that have together received 588 indexed citations. Recurring topics across this work include Environmental Sustainability in Business (5 papers), Customer Service Quality and Loyalty (3 papers), Job Satisfaction and Organizational Behavior (3 papers), Sustainable Supply Chain Management (3 papers), Organizational and Employee Performance (3 papers), Hospitality and Tourism Education (2 papers), Diverse Aspects of Tourism Research (2 papers) and High voltage insulation and dielectric phenomena (2 papers). The work is most often cited by research in Health Informatics (27 citations), Safety Research (156 citations), Marketing (105 citations), Artificial Intelligence (190 citations) and Tourism, Leisure and Hospitality Management (9 citations). Amit Datta has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Michael Carl Tschantz, Anupam Datta, Marc Jóye, Deirdre K. Mulligan, Richard Taylor, Nikha Bhardwaj, Catherine Prentice, Gerard Ledwich, Jianan Lü and Rosanna Leung. Their work appears in journals such as The TQM Journal, Journal of General Management, IEEE Access, Journal of Hospitality and Tourism Management and Nanotechnology.

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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