Michael A. Forbes

88 total papers · 1.2k total citations
45 papers, 559 citations indexed

About

Michael A. Forbes is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Michael A. Forbes has authored 45 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 12 papers in Industrial and Manufacturing Engineering. Recurrent topics in Michael A. Forbes's work include Complexity and Algorithms in Graphs (16 papers), Cryptography and Data Security (15 papers) and Vehicle Routing Optimization Methods (11 papers). Michael A. Forbes is often cited by papers focused on Complexity and Algorithms in Graphs (16 papers), Cryptography and Data Security (15 papers) and Vehicle Routing Optimization Methods (11 papers). Michael A. Forbes collaborates with scholars based in United States, Australia and Israel. Michael A. Forbes's co-authors include Amir Shpilka, J. N. Holt, Raghu N. Kacker, D. Richard Kuhn, Jim Lawrence, Yu Lei, Sergey Yekhanin, Yannik Rist, Ramprasad Saptharishi and Michael Bulmer and has published in prestigious journals such as Bioinformatics, European Journal of Operational Research and Journal of the Operational Research Society.

In The Last Decade

Michael A. Forbes

42 papers receiving 516 citations

Author Peers

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

Author Last Decade Papers Cites
Michael A. Forbes 180 143 140 119 113 45 559
Haifeng Wang 191 1.1× 70 0.5× 112 0.8× 75 0.6× 31 0.3× 45 566
Mohamed Ghazel 126 0.7× 222 1.6× 61 0.4× 85 0.7× 22 0.2× 62 525
Steven Prestwich 147 0.8× 101 0.7× 161 1.1× 81 0.7× 23 0.2× 77 688
Chris Hinde 84 0.5× 91 0.6× 162 1.2× 16 0.1× 69 0.6× 65 501
André A. Ciré 279 1.6× 146 1.0× 153 1.1× 18 0.2× 33 0.3× 44 537
Joris Kinable 427 2.4× 26 0.2× 74 0.5× 41 0.3× 209 1.8× 23 690
Eduardo G. Pardo 414 2.3× 93 0.7× 99 0.7× 23 0.2× 16 0.1× 39 589
Ilias Gerostathopoulos 48 0.3× 37 0.3× 332 2.4× 80 0.7× 44 0.4× 67 632
Marco Caserta 494 2.7× 50 0.3× 75 0.5× 36 0.3× 23 0.2× 28 698
Xiaoning Shen 322 1.8× 120 0.8× 149 1.1× 25 0.2× 12 0.1× 28 614

Countries citing papers authored by Michael A. Forbes

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Forbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Forbes. 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 Michael A. Forbes. The network helps show where Michael A. Forbes may publish in the future.

Co-authorship network of co-authors of Michael A. Forbes

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Forbes. A scholar is included among the top collaborators of Michael A. Forbes 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 Michael A. Forbes. Michael A. Forbes 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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