Douglas D. Dankel

34 total papers · 434 total citations
14 papers, 249 citations indexed

About

Douglas D. Dankel is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Douglas D. Dankel has authored 14 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computational Theory and Mathematics. Recurrent topics in Douglas D. Dankel's work include Artificial Intelligence in Games (2 papers), AI-based Problem Solving and Planning (2 papers) and Neural Networks and Applications (2 papers). Douglas D. Dankel is often cited by papers focused on Artificial Intelligence in Games (2 papers), AI-based Problem Solving and Planning (2 papers) and Neural Networks and Applications (2 papers). Douglas D. Dankel collaborates with scholars based in United States. Douglas D. Dankel's co-authors include Avelino J. González, Jay L. Schauben, Changwoo Yoon, Douglas K. Benn, Karsten Nielsen, David Rhodes, Wayne Walker and Mark S. Schmalz and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Artificial Intelligence in Medicine and PubMed.

In The Last Decade

Douglas D. Dankel

12 papers receiving 211 citations

Author Peers

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

Author						Papers	Cites
Douglas D. Dankel	112	43	22	21	20	14	249
Nikhil Ichalkaranje	99 0.9×	27 0.6×	19 0.9×	10 0.5×	26 1.3×	19	254
Micah J. Smith	107 1.0×	36 0.8×	16 0.7×	13 0.6×	20 1.0×	8	224
John K. Debenham	131 1.2×	45 1.0×	23 1.0×	12 0.6×	10 0.5×	16	190
Colin Paterson	123 1.1×	47 1.1×	20 0.9×	20 1.0×	15 0.8×	25	247
Lenardo Chaves e Silva	74 0.7×	75 1.7×	19 0.9×	13 0.6×	15 0.8×	22	263
Kareem S. Aggour	84 0.8×	36 0.8×	14 0.6×	26 1.2×	11 0.6×	30	195
Hassina Seridi	87 0.8×	114 2.7×	9 0.4×	17 0.8×	34 1.7×	21	269
Susana Fernández	149 1.3×	68 1.6×	11 0.5×	17 0.8×	34 1.7×	25	295
Jörg Siekmann	197 1.8×	49 1.1×	9 0.4×	12 0.6×	31 1.6×	22	295
Andrés Gómez de Silva Garza	134 1.2×	30 0.7×	14 0.6×	67 3.2×	26 1.3×	22	286

Countries citing papers authored by Douglas D. Dankel

Since Specialization

Citations

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

Fields of papers citing papers by Douglas D. Dankel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas D. Dankel. 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 Douglas D. Dankel. The network helps show where Douglas D. Dankel may publish in the future.

Co-authorship network of co-authors of Douglas D. Dankel

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas D. Dankel. A scholar is included among the top collaborators of Douglas D. Dankel 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 Douglas D. Dankel. Douglas D. Dankel 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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