J.W. Metselaar

87 total papers · 883 total citations
58 papers, 711 citations indexed

About

J.W. Metselaar is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, J.W. Metselaar has authored 58 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 27 papers in Materials Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in J.W. Metselaar's work include Thin-Film Transistor Technologies (52 papers), Silicon and Solar Cell Technologies (47 papers) and Silicon Nanostructures and Photoluminescence (24 papers). J.W. Metselaar is often cited by papers focused on Thin-Film Transistor Technologies (52 papers), Silicon and Solar Cell Technologies (47 papers) and Silicon Nanostructures and Photoluminescence (24 papers). J.W. Metselaar collaborates with scholars based in Netherlands, Japan and Russia. J.W. Metselaar's co-authors include Miro Zeman, R.A.C.M.M. van Swaaij, R.E.I. Schropp, Gang Tao, Joost Willemen, Ryoichi Ishihara, C.I.M. Beenakker, J.C. van den Heuvel, Yasushi Hiroshima and Tatsuya Shimoda and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of The Electrochemical Society.

In The Last Decade

J.W. Metselaar

57 papers receiving 679 citations

Author Peers

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

Author						Papers	Cites
J.W. Metselaar	654	378	104	104	82	58	711
G. Kissinger	590 0.9×	239 0.6×	53 0.5×	107 1.0×	205 2.5×	105	673
Nobuyuki Ishida	541 0.8×	252 0.7×	34 0.3×	67 0.6×	149 1.8×	48	766
M. Lemiti	513 0.8×	359 0.9×	41 0.4×	222 2.1×	142 1.7×	56	666
Per I. Widenborg	688 1.1×	540 1.4×	38 0.4×	114 1.1×	90 1.1×	54	760
Mathieu Halbwax	448 0.7×	229 0.6×	144 1.4×	270 2.6×	215 2.6×	35	651
W. Bergholz	772 1.2×	183 0.5×	68 0.7×	85 0.8×	363 4.4×	40	850
Satyendra Kumar	700 1.1×	531 1.4×	43 0.4×	58 0.6×	83 1.0×	49	836
R.R. Koropecki	463 0.7×	512 1.4×	49 0.5×	269 2.6×	95 1.2×	73	713
T. Pisarkiewicz	569 0.9×	446 1.2×	54 0.5×	233 2.2×	42 0.5×	54	729
R. Angelucci	605 0.9×	313 0.8×	84 0.8×	128 1.2×	273 3.3×	49	738

Countries citing papers authored by J.W. Metselaar

Since Specialization

Citations

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

Fields of papers citing papers by J.W. Metselaar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.W. Metselaar. 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 J.W. Metselaar. The network helps show where J.W. Metselaar may publish in the future.

Co-authorship network of co-authors of J.W. Metselaar

This figure shows the co-authorship network connecting the top 25 collaborators of J.W. Metselaar. A scholar is included among the top collaborators of J.W. Metselaar 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 J.W. Metselaar. J.W. Metselaar 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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