Robert G. Turcott

32 total papers · 735 total citations
22 papers, 502 citations indexed

About

Robert G. Turcott is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Robert G. Turcott has authored 22 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 9 papers in Cognitive Neuroscience and 7 papers in Surgery. Recurrent topics in Robert G. Turcott's work include Neural dynamics and brain function (6 papers), Hemodynamic Monitoring and Therapy (5 papers) and stochastic dynamics and bifurcation (5 papers). Robert G. Turcott is often cited by papers focused on Neural dynamics and brain function (6 papers), Hemodynamic Monitoring and Therapy (5 papers) and stochastic dynamics and bifurcation (5 papers). Robert G. Turcott collaborates with scholars based in United States, Sweden and Germany. Robert G. Turcott's co-authors include Malvin C. Teich, Don H. Johnson, Ralph M. Siegel, Todd Pavek, Chiyeko Tsuchitani, Steven B. Lowen, Eric Li, Ryotaro Yamada, Ingela Schnittger and Michael V. McConnell and has published in prestigious journals such as American Journal of Physiology-Heart and Circulatory Physiology, Hearing Research and Biological Cybernetics.

In The Last Decade

Robert G. Turcott

21 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
Robert G. Turcott	230	164	97	94	70	22	502
Xusheng Zhang	120 0.5×	188 1.1×	26 0.3×	27 0.3×	20 0.3×	33	497
Carsten Schäfer	247 1.1×	149 0.9×	112 1.2×	53 0.6×	16 0.2×	14	486
Xingran Cui	124 0.5×	113 0.7×	37 0.4×	59 0.6×	23 0.3×	32	492
T. Inouye	340 1.5×	71 0.4×	24 0.2×	20 0.2×	21 0.3×	17	487
Changchun Liu	156 0.7×	317 1.9×	70 0.7×	103 1.1×	23 0.3×	23	480
James W. Havstad	266 1.2×	97 0.6×	105 1.1×	85 0.9×	10 0.1×	11	522
Karin Schwab	370 1.6×	114 0.7×	46 0.5×	24 0.3×	9 0.1×	25	571
Luiz Eduardo Virgílio Silva	92 0.4×	389 2.4×	37 0.4×	73 0.8×	42 0.6×	38	578
Ary L. Goldberger	84 0.4×	168 1.0×	47 0.5×	79 0.8×	22 0.3×	8	488
Friedberg Ck	54 0.2×	364 2.2×	27 0.3×	24 0.3×	81 1.2×	10	488

Countries citing papers authored by Robert G. Turcott

Since Specialization

Citations

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

Fields of papers citing papers by Robert G. Turcott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Turcott. 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 Robert G. Turcott. The network helps show where Robert G. Turcott may publish in the future.

Co-authorship network of co-authors of Robert G. Turcott

This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. Turcott. A scholar is included among the top collaborators of Robert G. Turcott 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 Robert G. Turcott. Robert G. Turcott 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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