Tom Van der Donck

50 total papers · 880 total citations
38 papers, 658 citations indexed

About

Tom Van der Donck is a scholar working on Mechanics of Materials, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Tom Van der Donck has authored 38 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanics of Materials, 12 papers in Biomedical Engineering and 12 papers in Materials Chemistry. Recurrent topics in Tom Van der Donck's work include Metal and Thin Film Mechanics (6 papers), Ultrasonics and Acoustic Wave Propagation (4 papers) and Nuclear reactor physics and engineering (4 papers). Tom Van der Donck is often cited by papers focused on Metal and Thin Film Mechanics (6 papers), Ultrasonics and Acoustic Wave Propagation (4 papers) and Nuclear reactor physics and engineering (4 papers). Tom Van der Donck collaborates with scholars based in Belgium, Germany and Netherlands. Tom Van der Donck's co-authors include Konstantina Lambrinou, Rémi Delville, D. Schryvers, Jean‐Pierre Célis, Jin Won Seo, Christ Glorieux, Serguei Gavrilov, Kristof Croes, Eric Beyne and Olalla Varela Pedreira and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Tom Van der Donck

37 papers receiving 642 citations

Author Peers

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

Author						Papers	Cites
Tom Van der Donck	311	213	198	128	115	38	658
Yong-Nam Kwon	362 1.2×	452 2.1×	175 0.9×	67 0.5×	117 1.0×	40	688
Jianbao Zhang	374 1.2×	383 1.8×	215 1.1×	115 0.9×	67 0.6×	35	757
R.K. Sidhu	199 0.6×	336 1.6×	102 0.5×	61 0.5×	49 0.4×	27	555
Jie Yuan	235 0.8×	489 2.3×	263 1.3×	48 0.4×	110 1.0×	31	678
Flemming Bjerg Grumsen	270 0.9×	322 1.5×	144 0.7×	222 1.7×	86 0.7×	34	670
Jinlong Du	388 1.2×	343 1.6×	100 0.5×	164 1.3×	166 1.4×	48	764
Yuhang Hou	240 0.8×	282 1.3×	91 0.5×	109 0.9×	78 0.7×	39	667
Mihai Apreutesei	320 1.0×	294 1.4×	71 0.4×	159 1.2×	157 1.4×	28	637
Xin Yan	286 0.9×	159 0.7×	50 0.3×	149 1.2×	179 1.6×	64	738
Miao Sun	201 0.6×	345 1.6×	166 0.8×	115 0.9×	177 1.5×	37	682

Countries citing papers authored by Tom Van der Donck

Since Specialization

Citations

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

Fields of papers citing papers by Tom Van der Donck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Van der Donck. 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 Tom Van der Donck. The network helps show where Tom Van der Donck may publish in the future.

Co-authorship network of co-authors of Tom Van der Donck

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Van der Donck. A scholar is included among the top collaborators of Tom Van der Donck 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 Tom Van der Donck. Tom Van der Donck 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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