Munindar P. Singh
- Artificial Intelligence top 0.1%
- Information Systems top 0.05%
- Computer Networks and Communications top 0.2%
- Sociology and Political Science top 0.5%
- Management Information Systems top 0.2%
- Co-authors
- Michael N. HuhnsE. Michael MaximilienAmit K. ChopraYonghong WangBin YuPınar YolumNirmit DesaiChung-Wei Hang
- Topics
- Multi-Agent Systems and Negotiation (140 papers)Service-Oriented Architecture and Web Services (87 papers)Business Process Modeling and Analysis (81 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Munindar P. Singh
382 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 5.4k
- Information Systems 4.5k
- Computer Networks and Communications 3.1k
- Sociology and Political Science 2.3k
- Management Information Systems 1.7k
Countries citing papers authored by Munindar P. Singh
This map shows the geographic impact of Munindar P. Singh'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 Munindar P. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munindar P. Singh more than expected).
Fields of papers citing papers by Munindar P. Singh
This network shows the impact of papers produced by Munindar P. Singh. 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 Munindar P. Singh. The network helps show where Munindar P. Singh may publish in the future.
Co-authorship network of co-authors of Munindar P. Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Munindar P. Singh. A scholar is included among the top collaborators of Munindar P. Singh 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 Munindar P. Singh. Munindar P. Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | Silk: a simulation study of regulating open normative multiagent systems | 9 |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 28 | |
| 12 | 48 | |
| 13 | 35 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | Physics of Service Composition | 15 |
| 17 | Deconstructing the "any" Key. | 3 |
| 18 | From the Editor-in-Chief: In the Thick of Things | 1 |
| 19 | Agents on the Web: Mobile Agents. | 2 |
| 20 | Towards a theory of situated know-how | 7 |
About Munindar P. Singh
Munindar P. Singh is a scholar working on Management Information Systems, Artificial Intelligence and Information Systems, having authored 405 papers that have together received 9.3k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (140 papers), Service-Oriented Architecture and Web Services (87 papers) and Business Process Modeling and Analysis (81 papers). The work is most often cited by research in Information Systems (4.5k citations), Management Information Systems (1.7k citations) and Artificial Intelligence (5.4k citations). Munindar P. Singh has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael N. Huhns, E. Michael Maximilien, Michael N. Huhns, Amit K. Chopra, Yonghong Wang, Bin Yu, Pınar Yolum, Bin Yu, Bin Yu and Nirmit Desai. Their work appears in journals such as PLoS ONE, Communications of the ACM and Science Advances.
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.