Marjan Sjerps
Impact in
- Safety Research top 5%
- Forensic Fingerprint Detection Methods
- Genetics top 10%
- Forensic and Genetic Research
Papers in
- Genetics 28
- Forensic and Genetic Research 23
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- Anomaly Detection Techniques and Applications 6
- Co-authors
- A. Kloosterman (7 shared papers)Gabriel Vivó‐Truyols (7 shared papers)Martin Lopatka (7 shared papers)Peter Vergeer (7 shared papers)Charles E.H. Berger (5 shared papers)Reinoud D. Stoel (3 shared papers)Ronald Meester (6 shared papers)Patsy Haccou (4 shared papers)
- Journals
- Science & Justice (8 papers)Forensic Science International (8 papers)International Journal of Legal Medicine (6 papers)Law Probability and Risk (6 papers)Forensic Science International Genetics (4 papers)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Marjan Sjerps
58 papers receiving 817 citations
Peers
Comparison fields: 5 of 138
- Safety Research 102
- Genetics 305
- Spectroscopy 94
- Archeology 56
- Artificial Intelligence 167
Countries citing papers authored by Marjan Sjerps
This map shows the geographic impact of Marjan Sjerps'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 Marjan Sjerps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjan Sjerps more than expected).
Fields of papers citing papers by Marjan Sjerps
This network shows the impact of papers produced by Marjan Sjerps. 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 Marjan Sjerps. The network helps show where Marjan Sjerps may publish in the future.
Co-authors
The 25 scholars most cited alongside Marjan Sjerps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ENFSI guideline for evaluative reporting in forensic science | 2015 | 140 |
| 2 | 2014 | 66 | |
| 3 | 2015 | 43 | |
| 4 | 2017 | 40 | |
| 5 | 2015 | 33 | |
| 6 | 2006 | 33 | |
| 7 | 2012 | 33 | |
| 8 | 2003 | 29 | |
| 9 | 2016 | 29 | |
| 10 | 1994 | 25 | |
| 11 | 2015 | 23 | |
| 12 | 2015 | 22 | |
| 13 | 2014 | 21 | |
| 14 | 2018 | 19 | |
| 15 | 2016 | 19 | |
| 16 | 2012 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 1999 | 15 | |
| 19 | 1995 | 15 | |
| 20 | 2016 | 15 |
About Marjan Sjerps
Marjan Sjerps is a scholar working on Genetics, Artificial Intelligence, Molecular Biology, Sociology and Political Science and Safety Research, having authored 62 papers that have together received 856 indexed citations. Recurring topics across this work include Forensic and Genetic Research (23 papers), Molecular Biology Techniques and Applications (7 papers), Anomaly Detection Techniques and Applications (6 papers), Forensic Fingerprint Detection Methods (6 papers), Advanced Chemical Sensor Technologies (6 papers), Jury Decision Making Processes (5 papers), Analytical Chemistry and Chromatography (5 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Safety Research (102 citations), Genetics (305 citations), Spectroscopy (94 citations), Archeology (56 citations) and Artificial Intelligence (167 citations). Marjan Sjerps has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include A. Kloosterman, Gabriel Vivó‐Truyols, Martin Lopatka, Peter Vergeer, Charles E.H. Berger, Reinoud D. Stoel, Ronald Meester, Patsy Haccou, Ivo Alberink and Peter J. Schoenmakers. Their work appears in journals such as Science & Justice, Forensic Science International, International Journal of Legal Medicine, Law Probability and Risk and Forensic Science International Genetics.
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.