David T. Kluger

13 total papers · 970 total citations
10 papers, 634 citations indexed

About

David T. Kluger is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, David T. Kluger has authored 10 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Biomedical Engineering and 5 papers in Cognitive Neuroscience. Recurrent topics in David T. Kluger's work include Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (8 papers) and EEG and Brain-Computer Interfaces (3 papers). David T. Kluger is often cited by papers focused on Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (8 papers) and EEG and Brain-Computer Interfaces (3 papers). David T. Kluger collaborates with scholars based in United States and China. David T. Kluger's co-authors include Tyler S. Davis, Gregory A. Clark, Douglas T. Hutchinson, Suzanne Wendelken, Christopher C. Duncan, Jacob A. George, David M. Page, Qinpu He, Zachary C. Thumser and Elizaveta V. Okorokova and has published in prestigious journals such as Frontiers in Human Neuroscience, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Science Robotics.

In The Last Decade

David T. Kluger

10 papers receiving 624 citations

Author Peers

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

Author						Papers	Cites
David T. Kluger	471	367	352	58	42	10	634
Enzo Mastinu	563 1.2×	284 0.8×	390 1.1×	56 1.0×	39 0.9×	32	676
Aimee E. Schultz	670 1.4×	421 1.1×	502 1.4×	56 1.0×	36 0.9×	11	776
Christopher C. Duncan	507 1.1×	406 1.1×	402 1.1×	55 0.9×	36 0.9×	14	707
Emily L. Graczyk	503 1.1×	453 1.2×	413 1.2×	52 0.9×	60 1.4×	20	690
Anna Margherita Castronovo	620 1.3×	467 1.3×	207 0.6×	40 0.7×	41 1.0×	12	730
Paul Čvančara	368 0.8×	224 0.6×	304 0.9×	45 0.8×	63 1.5×	21	607
Ásgeir Alexandersson	308 0.7×	149 0.4×	166 0.5×	53 0.9×	38 0.9×	20	632
D.M. Gillard	315 0.7×	246 0.7×	137 0.4×	29 0.5×	60 1.4×	11	578
Goran Bijelić	504 1.1×	339 0.9×	241 0.7×	120 2.1×	60 1.4×	37	763
Meike A. Schweisfurth	435 0.9×	436 1.2×	255 0.7×	29 0.5×	65 1.5×	12	579

Countries citing papers authored by David T. Kluger

Since Specialization

Citations

This map shows the geographic impact of David T. Kluger'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 David T. Kluger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Kluger more than expected).

Fields of papers citing papers by David T. Kluger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Kluger. 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 David T. Kluger. The network helps show where David T. Kluger may publish in the future.

Co-authorship network of co-authors of David T. Kluger

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Kluger. A scholar is included among the top collaborators of David T. Kluger 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 David T. Kluger. David T. Kluger 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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