J. van Medevoort

18 total papers · 506 total citations
9 papers, 409 citations indexed

About

J. van Medevoort is a scholar working on Water Science and Technology, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, J. van Medevoort has authored 9 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 7 papers in Biomedical Engineering and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in J. van Medevoort's work include Membrane Separation Technologies (7 papers), Membrane-based Ion Separation Techniques (7 papers) and Solar-Powered Water Purification Methods (4 papers). J. van Medevoort is often cited by papers focused on Membrane Separation Technologies (7 papers), Membrane-based Ion Separation Techniques (7 papers) and Solar-Powered Water Purification Methods (4 papers). J. van Medevoort collaborates with scholars based in Netherlands, United States and Germany. J. van Medevoort's co-authors include A.E. Jansen, J.H. Hanemaaijer, Thomas Melin, Montse Meneses, C. Dotremont, Mark Roelands, Norbert J. M. Kuipers, C.P.M. Roelands, F. W. Altena and C. Stanghellini and has published in prestigious journals such as Desalination, Nutrient Cycling in Agroecosystems and Desalination and Water Treatment.

In The Last Decade

J. van Medevoort

9 papers receiving 397 citations

Author Peers

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

Author Last Decade Papers Cites
J. van Medevoort 365 272 215 60 55 9 409
Haya Nassrullah 375 1.0× 223 0.8× 224 1.0× 83 1.4× 129 2.3× 11 493
C. Aladjem 254 0.7× 251 0.9× 124 0.6× 59 1.0× 92 1.7× 8 369
James Hanotu 188 0.5× 261 1.0× 192 0.9× 64 1.1× 41 0.7× 14 482
Han Gu 298 0.8× 185 0.7× 82 0.4× 30 0.5× 72 1.3× 19 381
S. Ebrahim 391 1.1× 222 0.8× 101 0.5× 50 0.8× 95 1.7× 19 478
Shardul S. Wadekar 321 0.9× 263 1.0× 62 0.3× 121 2.0× 39 0.7× 9 375
Clara Skuse 391 1.1× 266 1.0× 163 0.8× 110 1.8× 98 1.8× 7 466
Kamyar Sardari 334 0.9× 169 0.6× 108 0.5× 74 1.2× 74 1.3× 8 400
Marina Micari 250 0.7× 259 1.0× 80 0.4× 186 3.1× 101 1.8× 17 493
Pan Dai 284 0.8× 148 0.5× 202 0.9× 37 0.6× 107 1.9× 22 392

Countries citing papers authored by J. van Medevoort

Since Specialization
Citations

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

Fields of papers citing papers by J. van Medevoort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. van Medevoort

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