Ian Parberry

162 total papers · 2.2k total citations
82 papers, 1.3k citations indexed

About

Ian Parberry is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ian Parberry has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Theory and Mathematics. Recurrent topics in Ian Parberry's work include Educational Games and Gamification (11 papers), Artificial Intelligence in Games (10 papers) and Interconnection Networks and Systems (9 papers). Ian Parberry is often cited by papers focused on Educational Games and Gamification (11 papers), Artificial Intelligence in Games (10 papers) and Interconnection Networks and Systems (9 papers). Ian Parberry collaborates with scholars based in United States, Taiwan and Australia. Ian Parberry's co-authors include Thomas D. Parsons, Timothy McMahan, Ki-Yin Chang, Georg Schnitger, Leslie M. Goldschlager, Gene Eu Jan, Zoran Obradović, Albert R. Meyer, M. R. Garey and Ursula Wolz and has published in prestigious journals such as Neurocomputing, Neural Networks and IEEE Transactions on Computers.

In The Last Decade

Ian Parberry

75 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Ian Parberry 443 257 244 226 216 82 1.3k
Tommi Kärkkäinen 449 1.0× 174 0.7× 199 0.8× 109 0.5× 202 0.9× 137 1.6k
Mihaela Cocea 668 1.5× 145 0.6× 181 0.7× 105 0.5× 200 0.9× 75 1.2k
Rudolf Fleischer 241 0.5× 168 0.7× 144 0.6× 314 1.4× 593 2.7× 68 1.3k
Sebastian Risi 1.0k 2.3× 319 1.2× 90 0.4× 125 0.6× 16 0.1× 111 1.5k
Bruce Blumberg 695 1.6× 669 2.6× 28 0.1× 193 0.9× 92 0.4× 60 1.8k
Denis Gračanin 247 0.6× 519 2.0× 63 0.3× 32 0.1× 29 0.1× 175 1.3k
Martin Müller 989 2.2× 365 1.4× 70 0.3× 121 0.5× 23 0.1× 84 1.5k
David Kurlander 425 1.0× 388 1.5× 35 0.1× 72 0.3× 143 0.7× 23 1.2k
Shi‐Kuo Chang 428 1.0× 718 2.8× 135 0.6× 24 0.1× 39 0.2× 109 1.4k
Ernest Davis 1.0k 2.3× 182 0.7× 209 0.9× 78 0.3× 27 0.1× 80 1.8k

Countries citing papers authored by Ian Parberry

Since Specialization
Citations

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

Fields of papers citing papers by Ian Parberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Parberry

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