Edwin de Jong

957 citations
33 papers · 783 · h-index 12

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Machine Learning in Bioinformatics
    • Gene Regulatory Network Analysis

Papers in

Edwin de Jong

30 papers receiving 754 citations

Peers

Edwin de Jong
Comparison fields: 5 of 126
  • Biomaterials 99
  • Molecular Biology 401
  • Genetics 115
  • Computational Theory and Mathematics 60
  • Oceanography 42
Replace Fabian Coscia with:
Fabian Coscia Germany
Yasir Suhail United States
Cholpon S. Djuzenova Germany
Wail Ba-Alawi Canada
Meher Majety Germany
Bin Huang United States
Oksana Sirenko United States
Eugenia Floyd United States
Johannes Virtanen Finland
Xiangshan Zhao United States
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Citations per year

Countries citing papers authored by Edwin de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Edwin de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin de Jong. 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 Edwin de Jong. The network helps show where Edwin de Jong may publish in the future.

Co-authors

The 25 scholars most cited alongside Edwin de Jong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edwin de Jong Line = papers co-authored together Edwin de Jong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006396
2 201050
3 201447
4 202147
5 199943
6 201838
7 201129
8 200421
9 199818
10 201616
11 202313
12 201011
13 19809
14 20028
15 20006
16 20104
17
Context-Based Policy Search: Transfer of Experience Across Problems
20023
18 19993
19 20233
20 20123

About Edwin de Jong

Edwin de Jong is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Hardware and Architecture and Biomaterials, having authored 33 papers that have together received 783 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (5 papers), Advanced Software Engineering Methodologies (4 papers), Logic, programming, and type systems (4 papers), Formal Methods in Verification (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Evolutionary Algorithms and Applications (3 papers), Real-Time Systems Scheduling (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Biomaterials (99 citations), Molecular Biology (401 citations), Genetics (115 citations), Computational Theory and Mathematics (60 citations) and Oceanography (42 citations). Edwin de Jong has collaborated with scholars based in Netherlands, United States and Indonesia. Frequent co-authors include Harm van Bakel, Like Fokkens, M. Egmont‐Petersen, Lude Franke, Cisca Wijmenga, Inge S. Zuhorn, Klaas Poelstra, Jai Prakash, Jan C. M. van Hest and H. J. W. de Baar. Their work appears in journals such as Journal of Controlled Release, Nanomedicine Nanotechnology Biology and Medicine, Software Practice and Experience, Marine Chemistry and Journal of Extracellular Vesicles.

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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