Jan F. Prins
- Molecular Biology top 5%
- Information Systems top 0.5%
- Computer Networks and Communications top 2%
- Cancer Research top 5%
- Artificial Intelligence top 2%
- Co-authors
- Wei WangJun HuanThomas RepsSusan HorwitzJoshua D. WelchStephen L. OlivierJinze LiuDarshan Singh
- Topics
- Parallel Computing and Optimization Techniques (33 papers)Distributed and Parallel Computing Systems (15 papers)RNA Research and Splicing (11 papers)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Jan F. Prins
99 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 1.9k
- Information Systems 1.0k
- Computer Networks and Communications 650
- Cancer Research 592
- Artificial Intelligence 545
Countries citing papers authored by Jan F. Prins
This map shows the geographic impact of Jan F. Prins'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 Jan F. Prins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan F. Prins more than expected).
Fields of papers citing papers by Jan F. Prins
This network shows the impact of papers produced by Jan F. Prins. 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 Jan F. Prins. The network helps show where Jan F. Prins may publish in the future.
Co-authorship network of co-authors of Jan F. Prins
This figure shows the co-authorship network connecting the top 25 collaborators of Jan F. Prins. A scholar is included among the top collaborators of Jan F. Prins 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 Jan F. Prins. Jan F. Prins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 104 | |
| 2 | 105 | |
| 3 | 163 | |
| 4 | 120 | |
| 5 | 40 | |
| 6 | 24 | |
| 7 | 35 | |
| 8 | 49 | |
| 9 | 137 | |
| 10 | 41 | |
| 11 | 110 | |
| 12 | 47 | |
| 13 | 32 | |
| 14 | 49 | |
| 15 | Mining spatial motifs from protein structure graphs | 6 |
| 16 | Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures | 2 |
| 17 | KHEPERA: a system for rapid implementation of domain specific languages | 23 |
| 18 | 22 | |
| 19 | 29 | |
| 20 | 4 |
About Jan F. Prins
Jan F. Prins is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 102 papers that have together received 4.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Distributed and Parallel Computing Systems (15 papers) and RNA Research and Splicing (11 papers). The work is most often cited by research in Software (499 citations), Hardware and Architecture (501 citations) and Information Systems (1.0k citations). Jan F. Prins has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Wei Wang, Jun Huan, Thomas Reps, Susan Horwitz, Joshua D. Welch, Stephen L. Olivier, Jinze Liu, Darshan Singh, Derek Y. Chiang and Alexander J. Hartemink. Their work appears in journals such as Nature, Nucleic Acids Research and Molecular Cell.
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.