M.C.A. Donkersloot

17 total papers · 481 total citations
14 papers, 420 citations indexed

About

M.C.A. Donkersloot is a scholar working on Atomic and Molecular Physics, and Optics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, M.C.A. Donkersloot has authored 14 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 4 papers in Organic Chemistry and 4 papers in Molecular Biology. Recurrent topics in M.C.A. Donkersloot's work include Chemical Thermodynamics and Molecular Structure (3 papers), Advanced Chemical Physics Studies (3 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). M.C.A. Donkersloot is often cited by papers focused on Chemical Thermodynamics and Molecular Structure (3 papers), Advanced Chemical Physics Studies (3 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). M.C.A. Donkersloot collaborates with scholars based in Netherlands, United Kingdom and France. M.C.A. Donkersloot's co-authors include H. M. BUCK, Tsi-Shung Sun, A. Anderson, S.H. Walmsley, W. Prins, J.J. van Aartsen, P.M.T. de Kok, V. Chandrasekharan, M. M. Thiéry and A. S. Koster and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Physics Letters and Tetrahedron.

In The Last Decade

M.C.A. Donkersloot

14 papers receiving 380 citations

Author Peers

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

Author						Papers	Cites
M.C.A. Donkersloot	138	134	127	109	81	14	420
Jens Reinisch	88 0.6×	76 0.6×	204 1.6×	71 0.7×	68 0.8×	18	439
G. Taddei	129 0.9×	174 1.3×	181 1.4×	118 1.1×	41 0.5×	24	404
T. B. MacRury	77 0.6×	228 1.7×	83 0.7×	95 0.9×	94 1.2×	20	448
Teena Goel	207 1.5×	142 1.1×	179 1.4×	45 0.4×	116 1.4×	18	493
Philippe A. Bopp	113 0.8×	232 1.7×	137 1.1×	90 0.8×	87 1.1×	25	460
E. E. Astrup	117 0.8×	120 0.9×	85 0.7×	137 1.3×	59 0.7×	22	415
H. Warren Smith	116 0.8×	122 0.9×	155 1.2×	86 0.8×	24 0.3×	14	421
Honoh Suzuki	141 1.0×	72 0.5×	123 1.0×	92 0.8×	66 0.8×	33	438
Ralph L. Amey	67 0.5×	124 0.9×	93 0.7×	84 0.8×	63 0.8×	12	403
Natale Neto	48 0.3×	170 1.3×	159 1.3×	55 0.5×	46 0.6×	11	404

Countries citing papers authored by M.C.A. Donkersloot

Since Specialization

Citations

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

Fields of papers citing papers by M.C.A. Donkersloot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.C.A. Donkersloot

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