Paul C. Attie

77 total papers · 1.1k total citations
40 papers, 507 citations indexed

About

Paul C. Attie is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Paul C. Attie has authored 40 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 26 papers in Computer Networks and Communications and 17 papers in Artificial Intelligence. Recurrent topics in Paul C. Attie's work include Distributed systems and fault tolerance (25 papers), Formal Methods in Verification (24 papers) and Logic, programming, and type systems (12 papers). Paul C. Attie is often cited by papers focused on Distributed systems and fault tolerance (25 papers), Formal Methods in Verification (24 papers) and Logic, programming, and type systems (12 papers). Paul C. Attie collaborates with scholars based in United States, Lebanon and Switzerland. Paul C. Attie's co-authors include E. Allen Emerson, Munindar P. Singh, Amit Sheth, Marek Rusinkiewicz, Anish Arora, Scott A. Smolka, Nancy Lynch, Dina Goldin, Christine Tomlinson and Wei Sun and has published in prestigious journals such as Theoretical Computer Science, ACM SIGMOD Record and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Paul C. Attie

38 papers receiving 449 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 C. Attie 278 219 175 134 133 40 507
Marina Ribaudo 138 0.5× 272 1.2× 105 0.6× 107 0.8× 108 0.8× 42 473
Valentín Valero 148 0.5× 178 0.8× 206 1.2× 161 1.2× 251 1.9× 68 516
Tod Courtney 289 1.0× 162 0.7× 94 0.5× 42 0.3× 126 0.9× 25 577
Graham Birtwistle 190 0.7× 189 0.9× 127 0.7× 57 0.4× 47 0.4× 47 574
Rüdiger Valk 108 0.4× 314 1.4× 131 0.7× 186 1.4× 139 1.0× 19 501
João Paulo Barros 74 0.3× 276 1.3× 99 0.6× 108 0.8× 171 1.3× 60 530
R. J. A. Buhr 145 0.5× 99 0.5× 349 2.0× 79 0.6× 288 2.2× 38 564
Laure Petrucci 129 0.5× 365 1.7× 180 1.0× 66 0.5× 97 0.7× 38 568
Kassem Saleh 199 0.7× 139 0.6× 133 0.8× 31 0.2× 183 1.4× 73 534
Mario Bravetti 176 0.6× 308 1.4× 349 2.0× 41 0.3× 116 0.9× 64 540

Countries citing papers authored by Paul C. Attie

Since Specialization
Citations

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

Fields of papers citing papers by Paul C. Attie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul C. Attie

This figure shows the co-authorship network connecting the top 25 collaborators of Paul C. Attie. A scholar is included among the top collaborators of Paul C. Attie 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 C. Attie. Paul C. Attie 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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