Jason M. Daida

71 total papers · 934 total citations
45 papers, 428 citations indexed

About

Jason M. Daida is a scholar working on Artificial Intelligence, Oceanography and Atmospheric Science. According to data from OpenAlex, Jason M. Daida has authored 45 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Oceanography and 12 papers in Atmospheric Science. Recurrent topics in Jason M. Daida's work include Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Ocean Waves and Remote Sensing (11 papers). Jason M. Daida is often cited by papers focused on Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Ocean Waves and Remote Sensing (11 papers). Jason M. Daida collaborates with scholars based in United States and Germany. Jason M. Daida's co-authors include J.F. Vesecky, Stephen A. Stanhope, Steven J. Ross, Ramin Samadani, Tommaso Bersano‐Begey, Á. E. Eiben, Max Garzón, Wolfgang Banzhaf, Vasant Honavar and Martin Smith and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Genetic Programming and Evolvable Machines and international conference on Genetic algorithms.

In The Last Decade

Jason M. Daida

38 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Jason M. Daida	268	72	66	61	41	45	428
Wei Zhong	167 0.6×	93 1.3×	20 0.3×	16 0.3×	8 0.2×	34	407
Tobias Storch	245 0.9×	16 0.2×	88 1.3×	27 0.4×	21 0.5×	67	446
Yung-Seop Lee	123 0.5×	87 1.2×	20 0.3×	37 0.6×	4 0.1×	40	428
Jan Martinovič	108 0.4×	43 0.6×	41 0.6×	23 0.4×	4 0.1×	91	416
José E. Chacón	199 0.7×	30 0.4×	24 0.4×	16 0.3×	4 0.1×	22	494
Masato Koda	68 0.3×	18 0.3×	34 0.5×	40 0.7×	8 0.2×	38	425
Ben van Werkhoven	58 0.2×	43 0.6×	13 0.2×	28 0.5×	24 0.6×	41	399
Lee-Ad Gottlieb	175 0.7×	57 0.8×	101 1.5×	10 0.2×	8 0.2×	28	420
Yun Zhang	83 0.3×	76 1.1×	64 1.0×	20 0.3×	6 0.1×	33	369
Inge Koch	110 0.4×	77 1.1×	8 0.1×	10 0.2×	14 0.3×	55	474

Countries citing papers authored by Jason M. Daida

Since Specialization

Citations

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

Fields of papers citing papers by Jason M. Daida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Daida. 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 Jason M. Daida. The network helps show where Jason M. Daida may publish in the future.

Co-authorship network of co-authors of Jason M. Daida

This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. Daida. A scholar is included among the top collaborators of Jason M. Daida 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 Jason M. Daida. Jason M. Daida 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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