Marc Berndl
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 2
-
- Formal Methods in Verification 3
- Co-authors
- Patrick Riley (2 shared papers)Kevin McCloskey (1 shared paper)Vijay S. Pande (1 shared paper)Steven Kearnes (1 shared paper)Laurie Hendren (4 shared papers)Ondřej Lhoták (3 shared papers)Feng Qian (2 shared papers)Samuel Yang (4 shared papers)
- Journals
- Nature Methods (1 paper)SLAS DISCOVERY (1 paper)Molecular Systems Biology (1 paper)ACM SIGPLAN Notices (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Marc Berndl
17 papers receiving 2.1k citations
Marc Berndl's Hit Papers
Peers
Comparison fields: 5 of 154
- Biophysics 346
- Computational Theory and Mathematics 779
- Software 115
- Hardware and Architecture 130
- Media Technology 148
Countries citing papers authored by Marc Berndl
This map shows the geographic impact of Marc Berndl'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 Marc Berndl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Berndl more than expected).
Fields of papers citing papers by Marc Berndl
This network shows the impact of papers produced by Marc Berndl. 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 Marc Berndl. The network helps show where Marc Berndl may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Berndl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Molecular graph convolutions: moving beyond fingerprints Hit paper breakdown → | 2016 | 995 |
| 2 | In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images Hit paper breakdown → | 2018 | 394 |
| 3 | 2019 | 183 | |
| 4 | 2003 | 123 | |
| 5 | 2003 | 110 | |
| 6 | 2021 | 97 | |
| 7 | 2018 | 92 | |
| 8 | 2020 | 40 | |
| 9 | 2005 | 33 | |
| 10 | 2021 | 29 | |
| 11 | 2023 | 26 | |
| 12 | 2019 | 17 | |
| 13 | 2003 | 9 | |
| 14 | 2003 | 5 | |
| 15 | Mixed mode execution with context threading | 2005 | 3 |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 |
About Marc Berndl
Marc Berndl is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Software Testing and Debugging Techniques (3 papers), Parallel Computing and Optimization Techniques (3 papers), Formal Methods in Verification (3 papers), Cell Image Analysis Techniques (2 papers), Machine Learning in Materials Science (2 papers), CRISPR and Genetic Engineering (2 papers) and Logic, programming, and type systems (2 papers). The work is most often cited by research in Biophysics (346 citations), Computational Theory and Mathematics (779 citations), Software (115 citations), Hardware and Architecture (130 citations) and Media Technology (148 citations). Marc Berndl has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Patrick Riley, Kevin McCloskey, Vijay S. Pande, Steven Kearnes, Laurie Hendren, Ondřej Lhoták, Feng Qian, Samuel Yang, Philip Nelson and D. Michael Ando. Their work appears in journals such as Nature Methods, SLAS DISCOVERY, Molecular Systems Biology, ACM SIGPLAN Notices and Nature Communications.
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.