M. R. Visser

47 total papers · 1.3k total citations
36 papers, 962 citations indexed

About

M. R. Visser is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, M. R. Visser has authored 36 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Infectious Diseases and 6 papers in Surgery. Recurrent topics in M. R. Visser's work include Antibiotic Resistance in Bacteria (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Pancreatitis Pathology and Treatment (4 papers). M. R. Visser is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Pancreatitis Pathology and Treatment (4 papers). M. R. Visser collaborates with scholars based in Netherlands, United States and United Kingdom. M. R. Visser's co-authors include G M Vercellotti, J. Verhoef, Harry S. Jacob, Jesse L. Goodman, Hein G. Gooszen, L. M. A. Akkermans, Paula B. Tracy, J G White, Koop Bosscha and André Verheem and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Clinical Infectious Diseases.

In The Last Decade

M. R. Visser

35 papers receiving 922 citations

Author Peers

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

Author						Papers	Cites
M. R. Visser	263	178	175	143	125	36	962
Horace H. Zinneman	175 0.7×	110 0.6×	126 0.7×	195 1.4×	115 0.9×	55	1.2k
Gretta H. Jacobs	207 0.8×	211 1.2×	90 0.5×	176 1.2×	108 0.9×	47	1.2k
Julia A. Messina	222 0.8×	168 0.9×	159 0.9×	263 1.8×	37 0.3×	54	873
Yuliang Liu	250 1.0×	241 1.4×	171 1.0×	195 1.4×	93 0.7×	48	975
Douglas J. Haney	294 1.1×	88 0.5×	96 0.5×	126 0.9×	76 0.6×	25	1.2k
Jerome S. Nosanchuk	184 0.7×	152 0.9×	149 0.9×	118 0.8×	104 0.8×	44	999
Ulrich Kalus	133 0.5×	144 0.8×	83 0.5×	142 1.0×	90 0.7×	55	1.1k
Simonetta Salemi	254 1.0×	122 0.7×	189 1.1×	226 1.6×	127 1.0×	48	1.1k
Donna Salzman	373 1.4×	133 0.7×	303 1.7×	103 0.7×	69 0.6×	57	1.2k
James H. Pert	161 0.6×	102 0.6×	93 0.5×	240 1.7×	54 0.4×	34	1.0k

Countries citing papers authored by M. R. Visser

Since Specialization

Citations

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

Fields of papers citing papers by M. R. Visser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. R. Visser

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