Push Singh
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- AI-based Problem Solving and Planning
- Artificial Intelligence in Games
- Logic, Reasoning, and Knowledge
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Human-Computer Interaction top 10%
Papers in
-
- Semantic Web and Ontologies 7
- AI-based Problem Solving and Planning 5
- Natural Language Processing Techniques 3
- Topic Modeling 3
- Advanced Text Analysis Techniques 2
- Bayesian Modeling and Causal Inference 2
- Multi-Agent Systems and Negotiation 2
- Co-authors
- Hugo Liu (2 shared papers)Barbara Barry (4 shared papers)Nathan Eagle (3 shared papers)Henry Lieberman (1 shared paper)William V. Williams (1 shared paper)Alex Pentland (1 shared paper)Tanzeem Choudhury (1 shared paper)Aaron Sloman (1 shared paper)
- Journals
- AI Magazine (2 papers)Pattern Recognition Letters (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)Computing and Informatics / Computers and Artificial Intelligence (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Push Singh
12 papers receiving 289 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 264
- Human-Computer Interaction 28
- Computer Science Applications 24
- Computer Vision and Pattern Recognition 80
- Signal Processing 31
Countries citing papers authored by Push Singh
This map shows the geographic impact of Push 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 Push Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Push Singh more than expected).
Fields of papers citing papers by Push Singh
This network shows the impact of papers produced by Push 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 Push Singh. The network helps show where Push Singh may publish in the future.
Co-authors
The 11 scholars most cited alongside Push 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 | The Public Acquisition of Commonsense Knowledge | 2002 | 110 |
| 2 | 2004 | 57 | |
| 3 | 2004 | 52 | |
| 4 | 2004 | 40 | |
| 5 | 2002 | 32 | |
| 6 | LifeNet: A Propositional Model of Ordinary Human Activity | 2003 | 27 |
| 7 | 2003 | 18 | |
| 8 | Common Sense Conversations: Understanding Casual Conversation using a Common Sense Database | 2003 | 18 |
| 9 | 2004 | 13 | |
| 10 | Examining the Society of Mind. | 2003 | 9 |
| 11 | 2003 | 4 | |
| 12 | 2005 | 4 | |
| 13 | Context Sensing using Speech and Common Sense | 2004 | 2 |
About Push Singh
Push Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Social Psychology and Sociology and Political Science, having authored 13 papers that have together received 386 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), AI-based Problem Solving and Planning (5 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Advanced Text Analysis Techniques (2 papers), Bayesian Modeling and Causal Inference (2 papers), Multi-Agent Systems and Negotiation (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (264 citations), Human-Computer Interaction (28 citations), Computer Science Applications (24 citations), Computer Vision and Pattern Recognition (80 citations) and Signal Processing (31 citations). Push Singh has collaborated with scholars based in United States. Frequent co-authors include Hugo Liu, Barbara Barry, Nathan Eagle, Henry Lieberman, William V. Williams, Alex Pentland, Tanzeem Choudhury, Aaron Sloman, Marvin Minsky and Margaret Minsky. Their work appears in journals such as AI Magazine, Pattern Recognition Letters, North American Chapter of the Association for Computational Linguistics, Computing and Informatics / Computers and Artificial Intelligence and National Conference on Artificial Intelligence.
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.