John Grant

3.1k total citations
106 papers, 1.5k citations indexed

About

John Grant is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, John Grant has authored 106 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 37 papers in Computer Networks and Communications and 28 papers in Signal Processing. Recurrent topics in John Grant's work include Logic, Reasoning, and Knowledge (46 papers), Semantic Web and Ontologies (36 papers) and Advanced Database Systems and Queries (35 papers). John Grant is often cited by papers focused on Logic, Reasoning, and Knowledge (46 papers), Semantic Web and Ontologies (36 papers) and Advanced Database Systems and Queries (35 papers). John Grant collaborates with scholars based in United States, Italy and United Kingdom. John Grant's co-authors include Jack Minker, Anthony Hunter, Upen S. Chakravarthy, V. S. Subrahmanian, Francesco Parisi, Alicia C. Dowd, Sarit Kraus, Robert Ross, Donald Perlis and Barry E. Jacobs and has published in prestigious journals such as Journal of the American Chemical Society, Communications of the ACM and Journal of Catalysis.

In The Last Decade

John Grant

96 papers receiving 1.3k citations

Peers

John Grant
Comparison fields: 5 of 153
  • Artificial Intelligence 885
  • Computer Networks and Communications 596
  • Signal Processing 461
  • Computational Theory and Mathematics 166
  • Information Systems 143
Replace Yajun Du with:
Yajun Du China
Richard D. Lawrence United States
Rafael T. de Sousa Brazil
Huanhuan Cao China
Herna L. Viktor Canada
Alessandra Sala Italy
Zhisheng Huang Netherlands
Licheng Wang China
Zhenmin Li China
David A. Turner United States
Yajun Du China View profile →
Citations per field, relative to John Grant
John Grant · 1×
Citations per year, relative to John Grant
John Grant · 1×

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-authorship network of co-authors of John Grant

This figure shows the co-authorship network connecting the top 25 collaborators of John Grant. A scholar is included among the top collaborators of John Grant based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Grant. John Grant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2 7
3 9
4 9
5
Proceedings of the 5th international conference on Scalable uncertainty management
20
6 14
7 11
8 32
9 2
10 35
11 11
12 2
13 1
14
The Optimistic and Cautius Semantics for Inconsistent Knowledge Bases.
2
15
Deductive heterogeneous databases
4
16
Answering Queries in Indefinite Databases and the Null Value Problem.
40
17 17
18 11
19 1
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026