Jaap van der Weerd

42 total papers · 1.3k total citations
32 papers, 1.1k citations indexed

About

Jaap van der Weerd is a scholar working on Archeology, Analytical Chemistry and Pharmaceutical Science. According to data from OpenAlex, Jaap van der Weerd has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Archeology, 9 papers in Analytical Chemistry and 7 papers in Pharmaceutical Science. Recurrent topics in Jaap van der Weerd's work include Cultural Heritage Materials Analysis (12 papers), Spectroscopy and Chemometric Analyses (7 papers) and Forensic and Genetic Research (6 papers). Jaap van der Weerd is often cited by papers focused on Cultural Heritage Materials Analysis (12 papers), Spectroscopy and Chemometric Analyses (7 papers) and Forensic and Genetic Research (6 papers). Jaap van der Weerd collaborates with scholars based in Netherlands, United Kingdom and United States. Jaap van der Weerd's co-authors include Sergei G. Kazarian, Jaap J. Boon, Annelies van Loon, Ron M. A. Heeren, Robin J. H. Clark, Steven Firth, K. L. Andrew Chan, Gregory D. Smith, Marco van de Weert and X. Xu and has published in prestigious journals such as Analytical Chemistry, Journal of Controlled Release and Plant Cell & Environment.

In The Last Decade

Jaap van der Weerd

32 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Jaap van der Weerd	419	281	258	244	206	32	1.1k
Signe Vahur	424 1.0×	215 0.8×	222 0.9×	6 0.0×	121 0.6×	41	1.1k
Z. Jurašeková	172 0.4×	58 0.2×	61 0.2×	11 0.0×	108 0.5×	34	1.0k
Claude Coupry	453 1.1×	318 1.1×	268 1.0×	4 0.0×	63 0.3×	37	806
Radovan Hynek	378 0.9×	179 0.6×	200 0.8×	8 0.0×	64 0.3×	60	1.0k
Štěpánka Kučková	508 1.2×	255 0.9×	271 1.1×	7 0.0×	75 0.4×	53	1.2k
Elena Badea	439 1.0×	119 0.4×	118 0.5×	6 0.0×	45 0.2×	73	1.2k
Moira Ambrosi	117 0.3×	179 0.6×	79 0.3×	18 0.1×	15 0.1×	40	1.2k
Vittoria Guglielmi	652 1.6×	388 1.4×	433 1.7×	2 0.0×	92 0.4×	50	912
Cyril Muehlethaler	183 0.4×	50 0.2×	65 0.3×	3 0.0×	213 1.0×	36	942
Chi Shing Cheung	117 0.3×	43 0.2×	76 0.3×	6 0.0×	15 0.1×	44	849

Countries citing papers authored by Jaap van der Weerd

Since Specialization

Citations

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

Fields of papers citing papers by Jaap van der Weerd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaap van der Weerd. 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 Jaap van der Weerd. The network helps show where Jaap van der Weerd may publish in the future.

Co-authorship network of co-authors of Jaap van der Weerd

This figure shows the co-authorship network connecting the top 25 collaborators of Jaap van der Weerd. A scholar is included among the top collaborators of Jaap van der Weerd 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 Jaap van der Weerd. Jaap van der Weerd 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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