Anil R. Doshi

962 total citations · 1 hit paper
18 papers, 459 citations indexed

About

Anil R. Doshi is a scholar working on Sociology and Political Science, Strategy and Management and Management Information Systems. According to data from OpenAlex, Anil R. Doshi has authored 18 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 5 papers in Strategy and Management and 4 papers in Management Information Systems. Recurrent topics in Anil R. Doshi's work include Misinformation and Its Impacts (3 papers), Big Data and Business Intelligence (2 papers) and Corporate Finance and Governance (2 papers). Anil R. Doshi is often cited by papers focused on Misinformation and Its Impacts (3 papers), Big Data and Business Intelligence (2 papers) and Corporate Finance and Governance (2 papers). Anil R. Doshi collaborates with scholars based in United Kingdom, United States and Netherlands. Anil R. Doshi's 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 and has published in prestigious journals such as Strategic Management Journal, Organization Science and Science Advances.

In The Last Decade

Anil R. Doshi

13 papers receiving 446 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generative AI enhances individual creativity but reduces the collective diversity of novel content

2024 154 citations Anil R. Doshi, Oliver Hauser Science Advances profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anil R. Doshi United Kingdom	8	146	75	74	66	64	18	459
Zsófia Tóth United Kingdom	14	207 1.4×	33 0.4×	188 2.5×	41 0.6×	254 4.0×	28	638
Paola Cillo Italy	11	209 1.4×	53 0.7×	132 1.8×	26 0.4×	85 1.3×	22	487
Sebastian Hafenbrädl Spain	8	160 1.1×	26 0.3×	81 1.1×	40 0.6×	61 1.0×	15	379
Sunkee Lee United States	7	259 1.8×	76 1.0×	38 0.5×	15 0.2×	63 1.0×	16	488
Greg Stevens United States	8	276 1.9×	79 1.1×	64 0.9×	10 0.2×	47 0.7×	11	519
David Wong United States	12	151 1.0×	36 0.5×	68 0.9×	9 0.1×	43 0.7×	23	502
Paolo Boccardelli Italy	11	205 1.4×	85 1.1×	48 0.6×	24 0.4×	40 0.6×	33	480
Huiling Huang Macao	9	133 0.9×	75 1.0×	188 2.5×	84 1.3×	181 2.8×	23	532
Jens Schmidt Finland	9	291 2.0×	64 0.9×	62 0.8×	15 0.2×	37 0.6×	17	480
Elizabeth Solberg Norway	8	78 0.5×	37 0.5×	25 0.3×	35 0.5×	55 0.9×	13	349

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

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Doshi, Anil R. & Alastair Moore. (2025). Towards an AI Task Tensor: A Taxonomy for Organizing Work in the Age of Generative AI. SSRN Electronic Journal.

2.

Doshi, Anil R.. (2025). How high‐performance outliers affect relative entrepreneurial entry on competing crowdfunding platforms. Strategic Entrepreneurship Journal. 19(3). 399–416.

3.

Doshi, Anil R. & William Schmidt. (2024). Soft Governance Across Digital Platforms Using Transparency. Strategy Science. 9(2). 185–204. 6 indexed citations

4.

Baer, Markus, Vivianna Fang He, Pier Vittorio Mannucci, et al.. (2024). Redefining Human Creativity in the AI Era: Human-AI Collaboration, Impact, and Future Direction. Academy of Management Proceedings. 2024(1).

5.

Doshi, Anil R., et al.. (2024). Generative artificial intelligence and evaluating strategic decisions. Strategic Management Journal. 46(3). 583–610. 28 indexed citations

6.

Doshi, Anil R., et al.. (2024). Generative Artificial Intelligence and Evaluating Strategic Decisions. SSRN Electronic Journal. 7 indexed citations

7.

Doshi, Anil R.. (2024). Diffusion with generational cohorts. Industry and Innovation. 32(3). 281–306.

8.

Doshi, Anil R. & Oliver Hauser. (2024). Generative AI enhances individual creativity but reduces the collective diversity of novel content. Science Advances. 10(28). eadn5290–eadn5290. 154 indexed citations breakdown →

9.

Doshi, Anil R., et al.. (2023). Generalizing event studies using synthetic controls: An application to the Dollar Tree–Family Dollar acquisition. Long Range Planning. 57(1). 102392–102392. 4 indexed citations

10.

Doshi, Anil R. & Oliver Hauser. (2023). Generative Artificial Intelligence Enhances Creativity. SSRN Electronic Journal. 48 indexed citations

11.

Doshi, Anil R. & William H. Schmidt. (2022). Expanding Platform Boundaries to Counter False Information. Academy of Management Proceedings. 2022(1).

12.

Chai, Sen, et al.. (2021). How Catastrophic Innovation Failure Affects Organizational and Industry Legitimacy: The 2014 Virgin Galactic Test Flight Crash. Organization Science. 33(3). 1068–1093. 15 indexed citations

13.

Doshi, Anil R., et al.. (2021). Generalizing Event Studies Using Synthetic Controls: An Application to the Dollar Tree–Family Dollar Acquisition. SSRN Electronic Journal. 1 indexed citations

14.

Doshi, Anil R., et al.. (2018). The Impact of the Supply of Fake News on Consumer Behavior During the 2016 US Election. SSRN Electronic Journal. 3 indexed citations

15.

Doshi, Anil R. & Tobias Kretschmer. (2017). Social Media Followers and Organizational Performance. SSRN Electronic Journal. 1 indexed citations

16.

Doshi, Anil R.. (2014). Agent Heterogeneity in Two-Sided Platforms: Superstar Impact on Crowdfuding. SSRN Electronic Journal. 13 indexed citations

17.

Doshi, Anil R., Glen Dowell, & Michael W. Toffel. (2013). How firms respond to mandatory information disclosure. Strategic Management Journal. 34(10). 1209–1231. 150 indexed citations

18.

Doshi, Anil R., Glen Dowell, & Michael W. Toffel. (2012). How Firms Respond to Mandatory Information Disclosure. SSRN Electronic Journal. 29 indexed citations

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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