Push Singh
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- AI-based Problem Solving and Planning
- Artificial Intelligence in Games
- Logic, Reasoning, and Knowledge
Papers in
-
- Semantic Web and Ontologies 9
- AI-based Problem Solving and Planning 6
- Topic Modeling 5
- Natural Language Processing Techniques 5
- Bayesian Modeling and Causal Inference 2
- Advanced Text Analysis Techniques 2
- Logic, Reasoning, and Knowledge 2
- Multi-Agent Systems and Negotiation 2
- Co-authors
- Hugo Liu (3 shared papers)Thomas Lin (1 shared paper)Grace Lim (1 shared paper)Erik T. Mueller (1 shared paper)Barbara Barry (4 shared papers)Nathan Eagle (3 shared papers)Henry Lieberman (1 shared paper)William V. Williams (1 shared paper)
- Journals
- AI Magazine (2 papers)Pattern Recognition Letters (1 paper)Lecture notes in computer science (2 papers)National Conference on Artificial Intelligence (1 paper)IGI Global eBooks (2 papers)
- Partner nations
- United States
In The Last Decade
Push Singh
17 papers receiving 768 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 701
- Computer Science Applications 65
- Computer Vision and Pattern Recognition 180
- Human-Computer Interaction 41
- Signal Processing 62
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 14 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 | 2002 | 328 | |
| 2 | The Public Acquisition of Commonsense Knowledge | 2002 | 144 |
| 3 | 2004 | 100 | |
| 4 | 2004 | 77 | |
| 5 | 2004 | 58 | |
| 6 | 2004 | 46 | |
| 7 | 2002 | 46 | |
| 8 | LifeNet: A Propositional Model of Ordinary Human Activity | 2003 | 32 |
| 9 | Common Sense Conversations: Understanding Casual Conversation using a Common Sense Database | 2003 | 20 |
| 10 | 2003 | 19 | |
| 11 | Examining the Society of Mind. | 2003 | 17 |
| 12 | 2004 | 15 | |
| 13 | 2005 | 7 | |
| 14 | 2011 | 6 | |
| 15 | Failure-Directed Reformulation | 1998 | 4 |
| 16 | 2003 | 4 | |
| 17 | Context Sensing using Speech and Common Sense | 2004 | 3 |
| 18 | 2011 | 1 |
About Push Singh
Push Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Social Psychology and General Health Professions, having authored 18 papers that have together received 927 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), AI-based Problem Solving and Planning (6 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers), Bayesian Modeling and Causal Inference (2 papers), Advanced Text Analysis Techniques (2 papers), Logic, Reasoning, and Knowledge (2 papers) and Multi-Agent Systems and Negotiation (2 papers). The work is most often cited by research in Artificial Intelligence (701 citations), Computer Science Applications (65 citations), Computer Vision and Pattern Recognition (180 citations), Human-Computer Interaction (41 citations) and Signal Processing (62 citations). Push Singh has collaborated with scholars based in United States. Frequent co-authors include Hugo Liu, Thomas Lin, Grace Lim, Erik T. Mueller, Barbara Barry, Nathan Eagle, Henry Lieberman, William V. Williams, Tanzeem Choudhury and Alex Pentland. Their work appears in journals such as AI Magazine, Pattern Recognition Letters, Lecture notes in computer science, National Conference on Artificial Intelligence and IGI Global eBooks.
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.