M. van den Berg

216 total papers · 3.6k total citations
113 papers, 2.3k citations indexed

About

M. van den Berg is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, M. van den Berg has authored 113 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Mathematical Physics, 51 papers in Computational Theory and Mathematics and 45 papers in Applied Mathematics. Recurrent topics in M. van den Berg's work include Advanced Mathematical Modeling in Engineering (48 papers), Spectral Theory in Mathematical Physics (28 papers) and Nonlinear Partial Differential Equations (21 papers). M. van den Berg is often cited by papers focused on Advanced Mathematical Modeling in Engineering (48 papers), Spectral Theory in Mathematical Physics (28 papers) and Nonlinear Partial Differential Equations (21 papers). M. van den Berg collaborates with scholars based in United Kingdom, Netherlands and United States. M. van den Berg's co-authors include Coen D.A. Stehouwer, Jan A. Rauwerda, J. T. Lewis, G. H. J. Boers, Henk J. Blom, D. G. Franken, Peter Gilkey, Cornelis Jakobs, C. Jakobs and J.W.R. Twisk and has published in prestigious journals such as The Lancet, Annals of Surgery and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

M. van den Berg

106 papers receiving 2.2k citations

Author Peers

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

Author						Papers	Cites
M. van den Berg	932	635	547	417	409	113	2.3k
Patrick McKenna	181 0.2×	253 0.4×	240 0.4×	540 1.3×	631 1.5×	78	2.8k
John R. Higgins	93 0.1×	195 0.3×	301 0.6×	133 0.3×	917 2.2×	104	3.2k
Zhongqing Wang	62 0.1×	150 0.2×	130 0.2×	99 0.2×	240 0.6×	153	2.1k
C. Schwab	63 0.1×	969 1.5×	157 0.3×	518 1.2×	137 0.3×	78	3.0k
Masayoshi Nagata	35 0.0×	308 0.5×	418 0.8×	414 1.0×	158 0.4×	271	3.3k
Tetsuro Hida	59 0.1×	1.1k 1.7×	275 0.5×	67 0.2×	132 0.3×	85	2.2k
Yasuhiko Yamada	53 0.1×	176 0.3×	213 0.4×	79 0.2×	52 0.1×	184	2.5k
Sagarika Biswas	170 0.2×	42 0.1×	75 0.1×	43 0.1×	43 0.1×	170	1.7k
Hiroaki Nishikawa	28 0.0×	439 0.7×	36 0.1×	98 0.2×	520 1.3×	297	3.3k
Franca Franchi	77 0.1×	136 0.2×	80 0.1×	118 0.3×	46 0.1×	90	1.8k

Countries citing papers authored by M. van den Berg

Since Specialization

Citations

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

Fields of papers citing papers by M. van den Berg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. van den Berg. 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. van den Berg. The network helps show where M. van den Berg may publish in the future.

Co-authorship network of co-authors of M. van den Berg

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