Nirav Ajmeri
Impact in
- Information Systems top 5%
- Software Engineering Techniques and Practices
- Software Engineering Research
-
- Open Source Software Innovations
Papers in
-
- Multi-Agent Systems and Negotiation 9
- Semantic Web and Ontologies 6
-
- Service-Oriented Architecture and Web Services 5
- Software Engineering Research 5
- Information and Cyber Security 5
- Co-authors
- Munindar P. Singh (27 shared papers)Pradeep K. Murukannaiah (10 shared papers)Smita Ghaisas (7 shared papers)Maya Daneva (1 shared paper)Roel Wieringa (1 shared paper)Ramesh Kumar (1 shared paper)Klaas Sikkel (1 shared paper)Chintan Amrit (1 shared paper)
- Journals
- IEEE Internet Computing (3 papers)The Knowledge Engineering Review (2 papers)IEEE Intelligent Systems (1 paper)Behaviour and Information Technology (1 paper)AI & Society (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Nirav Ajmeri
44 papers receiving 541 citations
Peers
Comparison fields: 5 of 63
- Information Systems 309
- Computer Science Applications 70
- Safety Research 77
- Management Information Systems 75
- Software 29
Countries citing papers authored by Nirav Ajmeri
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
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-authors
The 25 scholars most cited alongside Nirav Ajmeri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 138 | |
| 2 | 2016 | 47 | |
| 3 | 2018 | 42 | |
| 4 | 2016 | 34 | |
| 5 | 2016 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2017 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2010 | 15 | |
| 10 | 2018 | 14 | |
| 11 | 2013 | 14 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2010 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2020 | 9 | |
| 19 | Coco: runtime reasoning about conflicting commitments | 2016 | 9 |
| 20 | 2017 | 9 |
About Nirav Ajmeri
Nirav Ajmeri is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Safety Research and Management Information Systems, having authored 46 papers that have together received 557 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (9 papers), Multi-Agent Systems and Negotiation (9 papers), Semantic Web and Ontologies (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Business Process Modeling and Analysis (5 papers), Service-Oriented Architecture and Web Services (5 papers), Software Engineering Research (5 papers) and Information and Cyber Security (5 papers). The work is most often cited by research in Information Systems (309 citations), Computer Science Applications (70 citations), Safety Research (77 citations), Management Information Systems (75 citations) and Software (29 citations). Nirav Ajmeri has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Munindar P. Singh, Pradeep K. Murukannaiah, Smita Ghaisas, Maya Daneva, Roel Wieringa, Ramesh Kumar, Klaas Sikkel, Chintan Amrit, Hui Guo and Özgür Kafalı. Their work appears in journals such as IEEE Internet Computing, The Knowledge Engineering Review, IEEE Intelligent Systems, Behaviour and Information Technology and AI & Society.
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.