Paul S. Jacobs

85 total papers · 1.4k total citations
56 papers, 832 citations indexed

About

Paul S. Jacobs is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Paul S. Jacobs has authored 56 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Paul S. Jacobs's work include Natural Language Processing Techniques (35 papers), Topic Modeling (26 papers) and Semantic Web and Ontologies (11 papers). Paul S. Jacobs is often cited by papers focused on Natural Language Processing Techniques (35 papers), Topic Modeling (26 papers) and Semantic Web and Ontologies (11 papers). Paul S. Jacobs collaborates with scholars based in United States, Belgium and Italy. Paul S. Jacobs's co-authors include Lisa F. Rau, John W. Littlefield, Teruko Mitamura, Michael L. Mauldin, Norman K. Sondheimer, Susan McRoy, P. Barrett, Corey Miller, Christopher N. Jacques and Guo‐Qiang Zhang and has published in prestigious journals such as Science, Communications of the ACM and Artificial Intelligence.

In The Last Decade

Paul S. Jacobs

45 papers receiving 657 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul S. Jacobs 652 176 81 39 36 56 832
Emanuele Pianta 662 1.0× 212 1.2× 97 1.2× 50 1.3× 61 1.7× 60 839
Ilyas Cicekli 686 1.1× 165 0.9× 58 0.7× 29 0.7× 27 0.8× 44 908
Rafael Muñoz 735 1.1× 154 0.9× 79 1.0× 41 1.1× 24 0.7× 101 816
Wim Peters 716 1.1× 168 1.0× 92 1.1× 25 0.6× 161 4.5× 56 830
John Bear 775 1.2× 119 0.7× 42 0.5× 27 0.7× 52 1.4× 30 851
Branimir Boguraev 876 1.3× 152 0.9× 84 1.0× 50 1.3× 147 4.1× 52 993
C. Brew 821 1.3× 129 0.7× 29 0.4× 34 0.9× 71 2.0× 64 1.0k
Lucian Galescu 740 1.1× 77 0.4× 127 1.6× 18 0.5× 19 0.5× 44 948
Andrei Mikheev 767 1.2× 149 0.8× 83 1.0× 24 0.6× 35 1.0× 17 858
Alfio Gliozzo 779 1.2× 132 0.8× 71 0.9× 14 0.4× 20 0.6× 53 842

Countries citing papers authored by Paul S. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul S. Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of Paul S. Jacobs. A scholar is included among the top collaborators of Paul S. Jacobs 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 S. Jacobs. Paul S. Jacobs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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