John Grant
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
- Artificial Intelligence top 1%
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Bayesian Modeling and Causal Inference
- Multi-Agent Systems and Negotiation
Papers in
-
- Logic, Reasoning, and Knowledge 57
- Semantic Web and Ontologies 45
- Multi-Agent Systems and Negotiation 10
- Bayesian Modeling and Causal Inference 10
-
- Advanced Database Systems and Queries 46
- Co-authors
- Jack Minker (17 shared papers)Anthony Hunter (10 shared papers)Upen S. Chakravarthy (3 shared papers)V. S. Subrahmanian (17 shared papers)Francesco Parisi (16 shared papers)Sarit Kraus (6 shared papers)Jarek Gryz (3 shared papers)Robert Ross (2 shared papers)
- Journals
- Artificial Intelligence (7 papers)Journal of Intelligent Information Systems (6 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)International Journal of Approximate Reasoning (4 papers)Information Systems (3 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
John Grant
121 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 148
- Signal Processing 788
- Artificial Intelligence 1.5k
- Computer Networks and Communications 1.1k
- Computational Theory and Mathematics 269
- Management Science and Operations Research 178
Countries citing papers authored by John Grant
This map shows the geographic impact of John Grant'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 John Grant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Grant more than expected).
Fields of papers citing papers by John Grant
This network shows the impact of papers produced by John Grant. 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 John Grant. The network helps show where John Grant may publish in the future.
Co-authors
The 25 scholars most cited alongside John Grant, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 261 | |
| 2 | 2006 | 213 | |
| 3 | 1977 | 99 | |
| 4 | 1978 | 79 | |
| 5 | 1988 | 78 | |
| 6 | 1992 | 78 | |
| 7 | Answering Queries in Indefinite Databases and the Null Value Problem. | 1986 | 62 |
| 8 | 2005 | 58 | |
| 9 | 1998 | 52 | |
| 10 | 2011 | 51 | |
| 11 | 1979 | 45 | |
| 12 | 1993 | 44 | |
| 13 | 1980 | 42 | |
| 14 | 2007 | 41 | |
| 15 | 1969 | 40 | |
| 16 | 1981 | 39 | |
| 17 | 1973 | 38 | |
| 18 | 2002 | 37 | |
| 19 | 1995 | 34 | |
| 20 | 1982 | 33 |
About John Grant
John Grant is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computational Theory and Mathematics and Management Science and Operations Research, having authored 127 papers that have together received 2.3k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (57 papers), Advanced Database Systems and Queries (46 papers), Semantic Web and Ontologies (45 papers), Data Management and Algorithms (39 papers), Data Quality and Management (10 papers), Multi-Agent Systems and Negotiation (10 papers), Bayesian Modeling and Causal Inference (10 papers) and Advanced Algebra and Logic (7 papers). The work is most often cited by research in Signal Processing (788 citations), Artificial Intelligence (1.5k citations), Computer Networks and Communications (1.1k citations), Computational Theory and Mathematics (269 citations) and Management Science and Operations Research (178 citations). John Grant has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Jack Minker, Anthony Hunter, Upen S. Chakravarthy, V. S. Subrahmanian, Francesco Parisi, Sarit Kraus, Jarek Gryz, Robert Ross, Alicia C. Dowd and Donald Perlis. Their work appears in journals such as Artificial Intelligence, Journal of Intelligent Information Systems, IEEE Transactions on Knowledge and Data Engineering, International Journal of Approximate Reasoning and Information Systems.
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.