Paul Fodor

1.2k total citations
29 papers, 548 citations indexed

About

Paul Fodor is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Paul Fodor has authored 29 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Paul Fodor's work include Semantic Web and Ontologies (21 papers), Logic, Reasoning, and Knowledge (13 papers) and Advanced Database Systems and Queries (8 papers). Paul Fodor is often cited by papers focused on Semantic Web and Ontologies (21 papers), Logic, Reasoning, and Knowledge (13 papers) and Advanced Database Systems and Queries (8 papers). Paul Fodor collaborates with scholars based in United States, Germany and United Kingdom. Paul Fodor's co-authors include Darko Anicic, Nenad Stojanović, Sebastian Rudolph, Michael Kifer, Adam Lally, Hui Wan, Siddharth Patwardhan, Jennifer Chu‐Carroll, Michael C. McCord and B. K. Boguraev and has published in prestigious journals such as IBM Journal of Research and Development, Lecture notes in computer science and Microcirculation.

In The Last Decade

Paul Fodor

26 papers receiving 497 citations

Peers

Paul Fodor
Comparison fields: 5 of 83
  • Artificial Intelligence 374
  • Computer Networks and Communications 245
  • Information Systems 149
  • Signal Processing 139
  • Computer Vision and Pattern Recognition 69
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Citations per field, relative to Paul Fodor
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Citations per year, relative to Paul Fodor
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Countries citing papers authored by Paul Fodor

Since Specialization
Citations

This map shows the geographic impact of Paul Fodor'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 Paul Fodor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Fodor more than expected).

Fields of papers citing papers by Paul Fodor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Fodor. 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 Paul Fodor. The network helps show where Paul Fodor may publish in the future.

Co-authorship network of co-authors of Paul Fodor

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Fodor. A scholar is included among the top collaborators of Paul Fodor 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 Paul Fodor. Paul Fodor 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 1
2 1
3 5
4 26
5 6
6
Rulelog: Highly Expressive Semantic Rules with Scalable Deep Reasoning.
1
7 2
8 17
9 4
10
Advanced Knowledge Base Debugging for Rulelog.
2
11
Understanding Rulelog Computations in Silk.
0
12 73
13
Natural Language Processing With Prolog in the IBM Watson System
16
14 179
15
Initial Results on Justification for the Tabled Transaction Logic.
1
16 61
17 11
18 8
19 1
20 3

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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