Munindar P. Singh
- Information Systems top 0.05%
- Service-Oriented Architecture and Web Services 87
- Management Information Systems top 0.2%
- Business Process Modeling and Analysis 81
- Artificial Intelligence top 0.1%
- Multi-Agent Systems and Negotiation 140
- Logic, Reasoning, and Knowledge 79
- Semantic Web and Ontologies 58
- Computer Networks and Communications top 0.2%
- Distributed systems and fault tolerance 25
- Peer-to-Peer Network Technologies 21
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- Access Control and Trust 43
- Co-authors
- Michael N. HuhnsE. Michael MaximilienAmit K. ChopraYonghong WangBin YuPınar YolumNirmit DesaiChung-Wei Hang
- 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
- Information Systems 4.5k
- Management Information Systems 1.7k
- Artificial Intelligence 5.4k
- Computer Networks and Communications 3.1k
- Management Science and Operations Research 742
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
The 25 scholars most cited alongside Munindar P. Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 14 | |
| 5 | 2019 | 4 | |
| 6 | 2016 | 3 | |
| 7 | 2016 | 15 | |
| 8 | Silk: a simulation study of regulating open normative multiagent systems | 2016 | 9 |
| 9 | 2015 | 12 | |
| 10 | 2013 | 9 | |
| 11 | 2011 | 28 | |
| 12 | 2008 | 48 | |
| 13 | 2008 | 35 | |
| 14 | 2004 | 3 | |
| 15 | 2003 | 10 | |
| 16 | Physics of Service Composition | 2001 | 15 |
| 17 | Deconstructing the "any" Key. | 2000 | 3 |
| 18 | From the Editor-in-Chief: In the Thick of Things | 2000 | 1 |
| 19 | Agents on the Web: Mobile Agents. | 1997 | 2 |
| 20 | Towards a theory of situated know-how | 1990 | 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), Business Process Modeling and Analysis (81 papers), Logic, Reasoning, and Knowledge (79 papers), Semantic Web and Ontologies (58 papers), Access Control and Trust (43 papers), Distributed systems and fault tolerance (25 papers) and Peer-to-Peer Network Technologies (21 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.