John Grant

2.9k citations
103 papers · 2.1k · h-index 25

Impact in

Papers in

John Grant

98 papers receiving 2k citations

Peers

John Grant
Comparison fields: 5 of 116
  • Computer Networks and Communications 1k
  • Artificial Intelligence 1k
  • Signal Processing 133
  • Management Science and Operations Research 161
  • Computational Theory and Mathematics 96
Replace Sebastian Link with:
Sebastian Link New Zealand
Erik Vee United States
János Csirik Hungary
Omar Benjelloun United States
Wei‐Pang Yang Taiwan
Daniel R. Figueiredo Brazil
Abdullah Uz Tansel United States
Wolfgang Gatterbauer United States
Eric Simon France
Sudeepa Roy United States
John Grant relative to Sebastian Link New Zealand Sebastian Link's profile →
Citations per field
00.5×2×4×6.0×
Sebastian Link · 1×
Citations per year

Countries citing papers authored by John Grant

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Grant Line = papers co-authored together John Grant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990252
2 2006226
3 197797
4 197884
5 198878
6 199277
7
Answering Queries in Indefinite Databases and the Null Value Problem.
198661
8 200559
9 201153
10 199848
11 200746
12 201346
13 199344
14 197943
15 198042
16 198140
17 197335
18 199534
19 198231
20 200031

About John Grant

John Grant is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Management Science and Operations Research and Computational Theory and Mathematics, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (48 papers), Advanced Database Systems and Queries (34 papers), Data Management and Algorithms (12 papers), Data Quality and Management (7 papers), Constraint Satisfaction and Optimization (6 papers), Semantic Web and Ontologies (6 papers), Multi-Agent Systems and Negotiation (4 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Computer Networks and Communications (1k citations), Artificial Intelligence (1k citations), Signal Processing (133 citations), Management Science and Operations Research (161 citations) and Computational Theory and Mathematics (96 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 B. Ross, Donald R. Perlis and Lise C. Getoor. 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.

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