Dorit Nevo

1.8k total citations · 1 hit paper
42 papers, 1.2k citations indexed

About

Dorit Nevo is a scholar working on Sociology and Political Science, Communication and Information Systems and Management. According to data from OpenAlex, Dorit Nevo has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 15 papers in Communication and 13 papers in Information Systems and Management. Recurrent topics in Dorit Nevo's work include Knowledge Management and Sharing (15 papers), Mobile Crowdsensing and Crowdsourcing (10 papers) and Technology Adoption and User Behaviour (9 papers). Dorit Nevo is often cited by papers focused on Knowledge Management and Sharing (15 papers), Mobile Crowdsensing and Crowdsourcing (10 papers) and Technology Adoption and User Behaviour (9 papers). Dorit Nevo collaborates with scholars based in United States, Canada and New Zealand. Dorit Nevo's co-authors include Hossam Ali‐Hassan, Michael Wade, Yair Wand, Yolande E. Chan, Saggi Nevo, Julia Kotlarsky, Izak Benbasat, Alain Pinsonneault, Phillip Ein-Dor and Henry Kim and has published in prestigious journals such as Scientific Reports, Communications of the ACM and MIS Quarterly.

In The Last Decade

Dorit Nevo

41 papers receiving 1.1k citations

Hit Papers

Linking dimensions of social media use to job performance... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorit Nevo United States 18 494 460 313 183 176 42 1.2k
Alexandra Durcikova United States 16 538 1.1× 343 0.7× 376 1.2× 87 0.5× 199 1.1× 66 1.2k
Derrick J. Neufeld Canada 15 368 0.7× 454 1.0× 289 0.9× 221 1.2× 172 1.0× 31 1.4k
Stefan Smolnik Germany 20 607 1.2× 458 1.0× 629 2.0× 94 0.5× 227 1.3× 102 1.4k
Jack Shih‐Chieh Hsu Taiwan 21 333 0.7× 511 1.1× 426 1.4× 241 1.3× 227 1.3× 60 1.4k
Darren Meister Canada 13 438 0.9× 393 0.9× 475 1.5× 125 0.7× 351 2.0× 28 1.2k
Roberto Evaristo United States 15 366 0.7× 338 0.7× 266 0.8× 215 1.2× 304 1.7× 27 1.3k
Athanasia Pouloudi Greece 20 249 0.5× 397 0.9× 269 0.9× 87 0.5× 295 1.7× 82 1.4k
Traci Carte United States 15 377 0.8× 306 0.7× 177 0.6× 344 1.9× 189 1.1× 49 1.2k
Robert M. Fuller United States 13 686 1.4× 678 1.5× 433 1.4× 574 3.1× 139 0.8× 27 1.7k
Liana Razmerita Denmark 12 481 1.0× 283 0.6× 219 0.7× 64 0.3× 122 0.7× 51 937

Countries citing papers authored by Dorit Nevo

Since Specialization
Citations

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

Fields of papers citing papers by Dorit Nevo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorit Nevo

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

All Works

20 of 20 papers shown
1.
Nevo, Dorit, et al.. (2025). People adhere to content warning labels even when they are wrong due to ecologically rational adaptations. Scientific Reports. 15(1). 13896–13896.
2.
Nevo, Dorit, et al.. (2023). Ethical and safety considerations in automated fake news detection. Behaviour and Information Technology. 1–22. 5 indexed citations
3.
Nevo, Dorit, et al.. (2022). How topic novelty impacts the effectiveness of news veracity interventions. Communications of the ACM. 65(2). 68–75. 6 indexed citations
4.
Kotlarsky, Julia, et al.. (2021). A Process Perspective on Emerging Value in Tournament-based and Collaborative Crowdsourcing. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
5.
Nevo, Dorit & Julia Kotlarsky. (2020). Crowdsourcing as a strategic IS sourcing phenomenon: Critical review and insights for future research. The Journal of Strategic Information Systems. 29(4). 101593–101593. 50 indexed citations
6.
Nevo, Dorit, et al.. (2016). Understanding the Role of Goals in Competitive Crowdsourcing Project Selection. International Conference on Information Systems. 4 indexed citations
7.
Nevo, Saggi, Dorit Nevo, & Alain Pinsonneault. (2016). A Temporally Situated Self-Agency Theory of Information Technology Reinvention1. MIS Quarterly. 40(1). 157–186. 26 indexed citations
8.
Ali‐Hassan, Hossam, Dorit Nevo, & Michael Wade. (2015). Linking dimensions of social media use to job performance: The role of social capital. The Journal of Strategic Information Systems. 24(2). 65–89. 371 indexed citations breakdown →
9.
Nevo, Dorit, et al.. (2013). Electronic health records. Journal of Enterprise Information Management. 26(1/2). 165–182. 12 indexed citations
10.
Nevo, Dorit, et al.. (2013). Determinants of success in crowdsourcing software development. 173–178. 21 indexed citations
11.
Nevo, Dorit, Julia Kotlarsky, & Saggi Nevo. (2012). NEW CAPABILITIES : CAN IT SERVICE PROVIDERS LEVERAGE CROWDSOURCING ?. International Conference on Information Systems. 18 indexed citations
12.
Ali‐Hassan, Hossam, Dorit Nevo, Henry Kim, & Stephen Perelgut. (2011). Organizational Social Computing and Employee Job Performance: The Knowledge Access Route. 1–10. 26 indexed citations
13.
Nevo, Saggi, Dorit Nevo, & Erran Carmel. (2011). Unlocking the Business Potential of Virtual Worlds. MIT Sloan management review. 17 indexed citations
14.
Nevo, Saggi, Dorit Nevo, & Henry Kim. (2011). From Recreational Applications to Workplace Technologies: An Empirical Study of Cross-Context IS Continuance in the Case of Virtual Worlds. Journal of Information Technology. 27(1). 74–86. 15 indexed citations
15.
Nevo, Saggi, Dorit Nevo, & Phillip Ein-Dor. (2010). Classifying Information Technologies: A Multidimensional Scaling Approach. Communications of the Association for Information Systems. 27. 17 indexed citations
16.
Nevo, Dorit, et al.. (2010). Harnessing Information Technology to Improve the Process of Students' Evaluations of Teaching: An Exploration of Students' Critical Success Factors of Online Evaluations.. Journal of the Association for Information Systems. 21(1). 99–110. 12 indexed citations
17.
Ali‐Hassan, Hossam & Dorit Nevo. (2009). IDENTIFYING SOCIAL COMPUTING DIMENSIONS : A MULTIDIMENSIONAL SCALING STUDY. Journal of the Association for Information Systems. 148. 35 indexed citations
18.
Nevo, Dorit, et al.. (2007). Towards an evaluation framework for knowledge management systems. Information Technology and Management. 9(4). 233–249. 30 indexed citations
19.
Nevo, Dorit & Yair Wand. (2004). Organizational memory information systems: a transactive memory approach. Decision Support Systems. 39(4). 549–562. 129 indexed citations
20.
Nevo, Dorit, Izak Benbasat, & Yair Wand. (2003). EXPLORING META-KNOWLEDGE FOR KNOWLEDGE MANAGEMENT SYSTEMS: A DELPHI STUDY. Journal of the Association for Information Systems. 439–449. 10 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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