Nirav Ajmeri

744 total citations
38 papers, 441 citations indexed

About

Nirav Ajmeri is a scholar working on Artificial Intelligence, Information Systems and Safety Research. According to data from OpenAlex, Nirav Ajmeri has authored 38 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Information Systems and 12 papers in Safety Research. Recurrent topics in Nirav Ajmeri's work include Ethics and Social Impacts of AI (9 papers), Multi-Agent Systems and Negotiation (7 papers) and Software Engineering Research (5 papers). Nirav Ajmeri is often cited by papers focused on Ethics and Social Impacts of AI (9 papers), Multi-Agent Systems and Negotiation (7 papers) and Software Engineering Research (5 papers). Nirav Ajmeri collaborates with scholars based in United States, United Kingdom and Netherlands. Nirav Ajmeri's co-authors include Munindar P. Singh, Pradeep K. Murukannaiah, Smita Ghaisas, Maya Daneva, Roel Wieringa, Chintan Amrit, Klaas Sikkel, Ramesh Kumar, Hui Guo and Özgür Kafalı and has published in prestigious journals such as PLoS ONE, ACM Computing Surveys and Computer.

In The Last Decade

Nirav Ajmeri

37 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirav Ajmeri United States 11 254 162 66 66 57 38 441
Pradeep K. Murukannaiah United States 14 234 0.9× 216 1.3× 118 1.8× 54 0.8× 77 1.4× 56 501
David Piorkowski United States 10 283 1.1× 136 0.8× 20 0.3× 49 0.7× 148 2.6× 22 480
Gonzalo Génova Spain 10 180 0.7× 148 0.9× 27 0.4× 55 0.8× 21 0.4× 43 392
Fatma Başak Aydemir Netherlands 9 286 1.1× 224 1.4× 23 0.3× 25 0.4× 24 0.4× 29 437
Maryam Purvis New Zealand 12 120 0.5× 160 1.0× 101 1.5× 24 0.4× 14 0.2× 43 368
Lida Li United States 8 118 0.5× 206 1.3× 15 0.2× 24 0.4× 50 0.9× 8 500
Lopamudra Praharaj United States 5 114 0.4× 160 1.0× 43 0.7× 53 0.8× 17 0.3× 8 371
Kshitiz Aryal United States 4 121 0.5× 177 1.1× 40 0.6× 52 0.8× 16 0.3× 9 387
Priyan Vaithilingam United States 8 201 0.8× 214 1.3× 8 0.1× 35 0.5× 107 1.9× 10 527
Thomas Way United States 10 102 0.4× 70 0.4× 24 0.4× 34 0.5× 102 1.8× 36 303

Countries citing papers authored by Nirav Ajmeri

Since Specialization
Citations

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

Fields of papers citing papers by Nirav Ajmeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirav Ajmeri

This figure shows the co-authorship network connecting the top 25 collaborators of Nirav Ajmeri. A scholar is included among the top collaborators of Nirav Ajmeri 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 Nirav Ajmeri. Nirav Ajmeri 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.
Bullock, Seth, Nirav Ajmeri, Michaela Black, et al.. (2024). Artificial intelligence for collective intelligence: a national-scale research strategy. The Knowledge Engineering Review. 39. 1 indexed citations
2.
Ajmeri, Nirav, et al.. (2024). Macro Ethics Principles for Responsible AI Systems: Taxonomy and Directions. ACM Computing Surveys. 56(11). 1–37. 5 indexed citations
3.
Ajmeri, Nirav, et al.. (2024). Norm Enforcement with a Soft Touch:Faster Emergence, Happier Agents. Explore Bristol Research. 1 indexed citations
4.
Ajmeri, Nirav, et al.. (2023). Understanding dynamics of polarization via multiagent social simulation. AI & Society. 38(4). 1373–1389. 10 indexed citations
5.
Ajmeri, Nirav, et al.. (2022). Macro Ethics for Governing Equitable Sociotechnical Systems. Explore Bristol Research. 5 indexed citations
6.
Ajmeri, Nirav, et al.. (2022). Prosocial Norm Emergence in Multi-agent Systems. ACM Transactions on Autonomous and Adaptive Systems. 17(1-2). 1–24. 6 indexed citations
7.
Ajmeri, Nirav, et al.. (2022). Feature toggles as code: Heuristics and metrics for structuring feature toggles. Information and Software Technology. 145. 106813–106813. 7 indexed citations
8.
Dubljević, Veljko, et al.. (2022). Moral and social ramifications of autonomous vehicles: a qualitative study of the perceptions of professional drivers. Behaviour and Information Technology. 42(9). 1271–1278. 9 indexed citations
9.
Dubljević, Veljko, George List, Nirav Ajmeri, et al.. (2021). Toward a rational and ethical sociotechnical system of autonomous vehicles: A novel application of multi-criteria decision analysis. PLoS ONE. 16(8). e0256224–e0256224. 14 indexed citations
10.
Ajmeri, Nirav, Hui Guo, Pradeep K. Murukannaiah, & Munindar P. Singh. (2020). Elessar: Ethics in Norm-Aware Agents. Bristol Research (University of Bristol). 16–24. 7 indexed citations
11.
Murukannaiah, Pradeep K., Nirav Ajmeri, Catholijn M. Jonker, & Munindar P. Singh. (2020). New Foundations of Ethical Multiagent Systems. Research Repository (Delft University of Technology). 1706–1710. 14 indexed citations
12.
Ajmeri, Nirav, Pradeep K. Murukannaiah, Hui Guo, & Munindar P. Singh. (2017). Arnor: Modeling Social Intelligence via Norms to Engineer Privacy-Aware Personal Agents. Adaptive Agents and Multi-Agents Systems. 230–238. 6 indexed citations
13.
Ajmeri, Nirav, et al.. (2017). No (Privacy) News is Good News: An Analysis of New York Times and Guardian Privacy News from 2010–2016. Bristol Research (University of Bristol). 159–15909. 4 indexed citations
14.
Kafalı, Özgür, Nirav Ajmeri, & Munindar P. Singh. (2017). Kont: Computing Tradeoffs in Normative Multiagent Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 9 indexed citations
15.
Ajmeri, Nirav, et al.. (2016). Coco: runtime reasoning about conflicting commitments. Explore Bristol Research. 17–23. 9 indexed citations
16.
Nardin, Luis G., et al.. (2016). Classifying sanctions and designing a conceptual sanctioning process model for socio-technical systems. The Knowledge Engineering Review. 31(2). 142–166. 25 indexed citations
17.
Murukannaiah, Pradeep K., Nirav Ajmeri, & Munindar P. Singh. (2016). Engineering Privacy in Social Applications. IEEE Internet Computing. 20(2). 72–76. 4 indexed citations
18.
Daneva, Maya, Chintan Amrit, Smita Ghaisas, et al.. (2012). Agile requirements prioritization in large-scale outsourced system projects: An empirical study. Journal of Systems and Software. 86(5). 1333–1353. 121 indexed citations
19.
Ajmeri, Nirav, et al.. (2010). A semantic and collaborative platform for agile requirements evolution. Bristol Research (University of Bristol). 150. 32–40. 12 indexed citations
20.
Kumar, Manish, Nirav Ajmeri, & Smita Ghaisas. (2010). Towards knowledge assisted agile requirements evolution. Explore Bristol Research. 16–20. 8 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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