Anil R. Doshi

962 citations
18 papers · 459 indexed · 1 hit paper · h-index 8
Topics
Misinformation and Its Impacts (3 papers)Big Data and Business Intelligence (2 papers)Corporate Finance and Governance (2 papers)

In The Last Decade

Anil R. Doshi

13 papers receiving 446 citations

Hit Papers

Generative AI enhances individual creativity but reduces ...202420262025202450100150

Peers

Anil R. Doshi
Comparison fields: 5 of 78
  • Strategy and Management 146
  • Economics and Econometrics 75
  • Marketing 74
  • Artificial Intelligence 66
  • Sociology and Political Science 64
Replace Zsófia Tóth with:
Zsófia Tóth United Kingdom
Xiaoning Liang Ireland
Steven J. Kahl United States
Jacqueline N. Lane United States
Tai Anh Kieu Vietnam
Changju Kim Japan
Jung-Chieh Lee China
Elisa Konya-Baumbach Germany
Hsiu‐Yuan Tsao Taiwan
Callen Anthony United States
Anil R. Doshi relative to Zsófia Tóth United Kingdom Zsófia Tóth's profile →
Citations per field
00.5×10×
Zsófia Tóth · 1×
Citations per year

Countries citing papers authored by Anil R. Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Anil R. Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil R. Doshi. 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 Anil R. Doshi. The network helps show where Anil R. Doshi may publish in the future.

Co-authorship network of co-authors of Anil R. Doshi

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 0
5 28
6 7
7 0
8
Generative AI enhances individual creativity but reduces the collective diversity of novel contentbreakdown →
154
9 4
10 48
11 0
12 15
13 1
14 3
15 1
16 13
17 150
18 29

About Anil R. Doshi

Anil R. Doshi is a scholar working on Management Information Systems, Strategy and Management and Marketing, having authored 18 papers that have together received 459 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (3 papers), Big Data and Business Intelligence (2 papers) and Corporate Finance and Governance (2 papers). The work is most often cited by research in Health Informatics (14 citations), Strategy and Management (146 citations) and Marketing (74 citations). Anil R. Doshi has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Oliver Hauser, Michael W. Toffel, Glen Dowell, Bart Vanneste, Sen Chai, William Schmidt, Tobias Kretschmer, Alastair Moore, Daniella Laureiro Martinez and Pier Vittorio Mannucci. Their work appears in journals such as Strategic Management Journal, Organization Science and Science Advances.

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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