J.A. van Leerdam

19 total papers · 1.2k total citations
11 papers, 936 citations indexed

About

J.A. van Leerdam is a scholar working on Pollution, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, J.A. van Leerdam has authored 11 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pollution, 5 papers in Spectroscopy and 5 papers in Analytical Chemistry. Recurrent topics in J.A. van Leerdam's work include Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Analytical chemistry methods development (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). J.A. van Leerdam is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Analytical chemistry methods development (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). J.A. van Leerdam collaborates with scholars based in Netherlands, Switzerland and Spain. J.A. van Leerdam's co-authors include Pim de Voogt, Ariadne C. Hogenboom, Annemarie P. van Wezel, Thomas L. ter Laak, Johannes P. C. Vissers, I. Bobeldijk, Merijn Schriks, Bart van der Burg, Sander C. van der Linden and M.M.E. van der Kooi and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

J.A. van Leerdam

11 papers receiving 911 citations

Author Peers

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

Author						Papers	Cites
J.A. van Leerdam	488	388	269	191	164	11	936
Christoph Moschet	580 1.2×	610 1.6×	175 0.7×	114 0.6×	149 0.9×	16	1.1k
Klaas Wille	522 1.1×	400 1.0×	241 0.9×	110 0.6×	128 0.8×	21	994
R. Rodríguez-Gómez	296 0.6×	531 1.4×	305 1.1×	144 0.8×	92 0.6×	24	1.0k
Pablo Vázquez-Roig	774 1.6×	358 0.9×	410 1.5×	109 0.6×	85 0.5×	14	1.2k
Eñaut Urrestarazu Ramos	314 0.6×	525 1.4×	276 1.0×	163 0.9×	125 0.8×	18	965
Peter Balsaa	541 1.1×	422 1.1×	230 0.9×	139 0.7×	87 0.5×	25	1.1k
Walter Schüssler	622 1.3×	254 0.7×	296 1.1×	118 0.6×	75 0.5×	14	977
P. Canosa	533 1.1×	499 1.3×	446 1.7×	212 1.1×	63 0.4×	12	1.1k
Martin Loos	581 1.2×	539 1.4×	209 0.8×	215 1.1×	298 1.8×	14	1.2k
René K. Juhler	416 0.9×	218 0.6×	192 0.7×	200 1.0×	164 1.0×	36	1.2k

Countries citing papers authored by J.A. van Leerdam

Since Specialization

Citations

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

Fields of papers citing papers by J.A. van Leerdam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. van Leerdam. 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.A. van Leerdam. The network helps show where J.A. van Leerdam may publish in the future.

Co-authorship network of co-authors of J.A. van Leerdam

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