Ian C. Parmee

136 total papers · 2.4k total citations
74 papers, 1.2k citations indexed

About

Ian C. Parmee is a scholar working on Artificial Intelligence, Mechanical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ian C. Parmee has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 32 papers in Mechanical Engineering and 28 papers in Computational Theory and Mathematics. Recurrent topics in Ian C. Parmee's work include Design Education and Practice (32 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Evolutionary Algorithms and Applications (22 papers). Ian C. Parmee is often cited by papers focused on Design Education and Practice (32 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Evolutionary Algorithms and Applications (22 papers). Ian C. Parmee collaborates with scholars based in United Kingdom, Switzerland and United States. Ian C. Parmee's co-authors include Dragoljub Cvetković, Christopher L. Simons, Dragan Cvetković, Prabhat Hajela, L. Darrell Whitley, Lee Spector, David E. Goldberg, Erick Cantú‐Paz, John Miles and Geoffrey N. Bullock and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Evolutionary Computation and The Analyst.

In The Last Decade

Ian C. Parmee

72 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Ian C. Parmee	494	422	260	185	142	74	1.2k
Wolfgang Reif	439 0.9×	204 0.5×	143 0.6×	204 1.1×	204 1.4×	184	1.1k
Rafael Stubs Parpinelli	807 1.6×	262 0.6×	57 0.2×	226 1.2×	119 0.8×	62	1.4k
Lam Thu Bui	573 1.2×	424 1.0×	33 0.1×	136 0.7×	103 0.7×	70	1.1k
Koorush Ziarati	419 0.8×	250 0.6×	68 0.3×	63 0.3×	379 2.7×	47	1.1k
Klaus Kabitzsch	250 0.5×	135 0.3×	72 0.3×	175 0.9×	300 2.1×	132	1.3k
Valeria Vittorini	167 0.3×	119 0.3×	175 0.7×	199 1.1×	350 2.5×	59	1.1k
Louise A. Dennis	579 1.2×	478 1.1×	84 0.3×	90 0.5×	67 0.5×	72	1.4k
Yumi Iwasaki	779 1.6×	102 0.2×	175 0.7×	83 0.4×	194 1.4×	44	1.2k
Zhengping Liang	973 2.0×	814 1.9×	69 0.3×	66 0.4×	134 0.9×	48	1.4k
Annie S. Wu	636 1.3×	173 0.4×	81 0.3×	186 1.0×	73 0.5×	94	1.4k

Countries citing papers authored by Ian C. Parmee

Since Specialization

Citations

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

Fields of papers citing papers by Ian C. Parmee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian C. Parmee

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