Stella Pachidi

1.6k total citations · 2 hit papers
17 papers, 960 citations indexed

About

Stella Pachidi is a scholar working on Management Information Systems, Sociology and Political Science and Safety Research. According to data from OpenAlex, Stella Pachidi has authored 17 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Information Systems, 5 papers in Sociology and Political Science and 5 papers in Safety Research. Recurrent topics in Stella Pachidi's work include Big Data and Business Intelligence (5 papers), Ethics and Social Impacts of AI (5 papers) and Management and Organizational Studies (3 papers). Stella Pachidi is often cited by papers focused on Big Data and Business Intelligence (5 papers), Ethics and Social Impacts of AI (5 papers) and Management and Organizational Studies (3 papers). Stella Pachidi collaborates with scholars based in United Kingdom, United States and Netherlands. Stella Pachidi's co-authors include Samer Faraj, Karla Sayegh, Hind Benbya, Thomas H. Davenport, Sirkka L. Järvenpää, Marleen Huysman, Hans Berends, Marco Spruit, Inge van de Weerd and Vern Glaser and has published in prestigious journals such as Organization Science, Computers in Human Behavior and Journal of Management Studies.

In The Last Decade

Stella Pachidi

16 papers receiving 914 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.

Working and organizing in the age of the learning algorithm

2018 368 citations Samer Faraj, Stella Pachidi et al. Information and Organization profile →
Special Issue Editorial: Artificial Intelligence in Organizations: Implications for Information Systems Research

2021 159 citations Hind Benbya, Stella Pachidi et al. Journal of the Association for Information Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stella Pachidi United Kingdom	9	296	249	242	181	144	17	960
Sebastian Krakowski Sweden	5	270 0.9×	292 1.2×	298 1.2×	266 1.5×	225 1.6×	10	1.3k
Mari‐Klara Stein Denmark	12	460 1.6×	285 1.1×	158 0.7×	176 1.0×	119 0.8×	38	1.2k
Hind Benbya United States	14	227 0.8×	104 0.4×	231 1.0×	172 1.0×	202 1.4×	42	977
Yash Raj Shrestha Switzerland	10	167 0.6×	162 0.7×	225 0.9×	216 1.2×	116 0.8×	34	900
Kévin Carillo France	16	458 1.5×	81 0.3×	222 0.9×	212 1.2×	153 1.1×	38	1.2k
Paweł Korzyński Poland	16	276 0.9×	100 0.4×	145 0.6×	232 1.3×	95 0.7×	41	1.1k
Mona Ashok United Kingdom	8	125 0.4×	127 0.5×	102 0.4×	126 0.7×	177 1.2×	9	684
Siliang Tong China	7	557 1.9×	149 0.6×	105 0.4×	529 2.9×	126 0.9×	14	1.3k
Volker Bilgram Germany	13	256 0.9×	62 0.2×	224 0.9×	94 0.5×	175 1.2×	21	981
Helen L. Brown‐Liburd United States	15	100 0.3×	168 0.7×	406 1.7×	118 0.7×	212 1.5×	29	1.3k

Countries citing papers authored by Stella Pachidi

Since Specialization

Citations

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

Fields of papers citing papers by Stella Pachidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stella Pachidi

This figure shows the co-authorship network connecting the top 25 collaborators of Stella Pachidi. A scholar is included among the top collaborators of Stella Pachidi 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 Stella Pachidi. Stella Pachidi 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:

17 of 17 papers shown

Chalmers, Dominic, et al.. (2026). The Acceleration of Artificial Intelligence: Rethinking Organization and Work in an Era of Rapid Technological Change. Journal of Management Studies. 63(2). 285–314.

Kulkarni, Mukta, Saku Mantere, Eero Vaara, et al.. (2024). The Future of Research in an Artificial Intelligence-Driven World. Journal of Management Inquiry. 33(3). 207–229. 24 indexed citations

Pachidi, Stella, et al.. (2023). On the Right Track? Studying the Use of Biometric Data to Manage People in Organizations. Academy of Management Discoveries. 11(2). 152–179. 1 indexed citations

Faraj, Samer & Stella Pachidi. (2021). Beyond Uberization: The co-constitution of technology and organizing. Apollo (University of Cambridge). 2(1). 47 indexed citations

Benbya, Hind, Stella Pachidi, & Sirkka L. Järvenpää. (2021). Artificial Intelligence in Organizations: Implications for Information Systems Research. Journal of the Association for Information Systems. 22(2). 282–303. 9 indexed citations

Benbya, Hind, Stella Pachidi, & Sirkka L. Järvenpää. (2021). Special Issue Editorial: Artificial Intelligence in Organizations: Implications for Information Systems Research. Journal of the Association for Information Systems. 22(2). 281–303. 159 indexed citations breakdown →

Pachidi, Stella, Hans Berends, Samer Faraj, & Marleen Huysman. (2020). Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing. Organization Science. 32(1). 18–41. 109 indexed citations

Benbya, Hind, Thomas H. Davenport, & Stella Pachidi. (2020). Special Issue Editorial : Artificial intelligence in organizations: Current state and future opportunities. Journal of the Association for Information Systems. 19(4). 12. 20 indexed citations

Benbya, Hind, Thomas H. Davenport, & Stella Pachidi. (2020). Artificial Intelligence in Organizations: Current State and Future Opportunities. SSRN Electronic Journal. 176 indexed citations

10.

Pachidi, Stella, Nicholas Berente, Panos Constantinides, et al.. (2019). Studying and theorizing knowledge work in the age of intelligent machines. Warwick Research Archive Portal (University of Warwick). 1–8. 2 indexed citations

11.

Faraj, Samer, Stella Pachidi, & Karla Sayegh. (2018). Working and organizing in the age of the learning algorithm. Information and Organization. 28(1). 62–70. 368 indexed citations breakdown →

12.

Pachidi, Stella. (2016). Rationality in the Age of Analytics. Academy of Management Proceedings. 2016(1). 11329–11329. 1 indexed citations

13.

Pentland, Brian T., Vern Glaser, Arvind Karunakaran, Stella Pachidi, & Christopher W. J. Steele. (2016). "Analytics at Work: Implications for Technology, Innovation and Organizations". Academy of Management Proceedings. 2016(1). 11852–11852. 1 indexed citations

14.

Pachidi, Stella, et al.. (2015). Playing the Numbers Game: Dealing with Transparency. Academy of Management Proceedings. 2015(1). 12791–12791. 3 indexed citations

15.

Pachidi, Stella & Marco Spruit. (2015). The Performance Mining Method. RePEc: Research Papers in Economics. 6(1). 11–29. 3 indexed citations

16.

Pachidi, Stella, Hans Berends, Samer Faraj, Marleen Huysman, & Inge van de Weerd. (2014). What Happens When Analytics Lands in the Organization? Studying Epistemologies in Clash. Academy of Management Proceedings. 2014(1). 15590–15590. 4 indexed citations

17.

Pachidi, Stella, Marco Spruit, & Inge van de Weerd. (2013). Understanding users’ behavior with software operation data mining. Computers in Human Behavior. 30. 583–594. 33 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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