Barbara M.A. Schout

77 total papers · 1.2k total citations
40 papers, 826 citations indexed

About

Barbara M.A. Schout is a scholar working on Surgery, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Barbara M.A. Schout has authored 40 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 12 papers in Physiology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Barbara M.A. Schout's work include Surgical Simulation and Training (29 papers), Simulation-Based Education in Healthcare (12 papers) and Cardiac, Anesthesia and Surgical Outcomes (10 papers). Barbara M.A. Schout is often cited by papers focused on Surgical Simulation and Training (29 papers), Simulation-Based Education in Healthcare (12 papers) and Cardiac, Anesthesia and Surgical Outcomes (10 papers). Barbara M.A. Schout collaborates with scholars based in Netherlands, Saudi Arabia and Norway. Barbara M.A. Schout's co-authors include Ad J.M. Hendrikx, Bart L.H. Bemelmans, Albert J.J.A. Scherpbier, Albert Scherpbier, Fedde Scheele, J.A. Witjes, Evert L. Koldewijn, Arno Muijtjens, Willem M. Brinkman and Albert Scherpbier and has published in prestigious journals such as The Journal of Urology, European Urology and Urology.

In The Last Decade

Barbara M.A. Schout

38 papers receiving 801 citations

Author Peers

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

Author						Papers	Cites
Barbara M.A. Schout	632	301	208	155	140	40	826
Hamid Abboudi	663 1.0×	217 0.7×	104 0.5×	150 1.0×	252 1.8×	38	1.0k
Patrice Crochet	567 0.9×	241 0.8×	162 0.8×	121 0.8×	36 0.3×	58	849
Phillip Mucksavage	610 1.0×	277 0.9×	109 0.5×	140 0.9×	374 2.7×	49	1.0k
Ramesh Nataraja	672 1.1×	118 0.4×	75 0.4×	67 0.4×	130 0.9×	98	924
Mukul Patil	484 0.8×	227 0.8×	78 0.4×	71 0.5×	554 4.0×	26	1.0k
Avril Chang	766 1.2×	266 0.9×	123 0.6×	369 2.4×	97 0.7×	20	1.1k
A. Cuschieri	665 1.1×	94 0.3×	45 0.2×	102 0.7×	125 0.9×	36	922
Erica Sutton	654 1.0×	152 0.5×	45 0.2×	168 1.1×	163 1.2×	34	1.1k
Matthew J. Frelich	631 1.0×	87 0.3×	93 0.4×	149 1.0×	104 0.7×	24	829
Stuart Hart	392 0.6×	56 0.2×	51 0.2×	126 0.8×	116 0.8×	52	837

Countries citing papers authored by Barbara M.A. Schout

Since Specialization

Citations

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

Fields of papers citing papers by Barbara M.A. Schout

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara M.A. Schout. 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 Barbara M.A. Schout. The network helps show where Barbara M.A. Schout may publish in the future.

Co-authorship network of co-authors of Barbara M.A. Schout

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