Erik Brauner
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Advanced Biosensing Techniques and Applications 1
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- Neural Networks and Applications 2
- Co-authors
- I. Goldberg (1 shared paper)Jason R. Swedlow (1 shared paper)Peter K. Sorger (1 shared paper)Stuart L. Schreiber (2 shared papers)Frederick P. Roth (1 shared paper)Judith E. Dayhoff (2 shared papers)Xiaoyun Sun (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (2 papers)International series in management science/operations research/International series in operations research & management science (1 paper)Science (1 paper)Digital Repository at the University of Maryland (University of Maryland College Park) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Erik Brauner
6 papers receiving 223 citations
Peers
Comparison fields: 5 of 71
- Biophysics 123
- Structural Biology 7
- Media Technology 19
- Molecular Biology 136
- Information Systems and Management 13
Countries citing papers authored by Erik Brauner
This map shows the geographic impact of Erik Brauner'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 Erik Brauner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Brauner more than expected).
Fields of papers citing papers by Erik Brauner
This network shows the impact of papers produced by Erik Brauner. 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 Erik Brauner. The network helps show where Erik Brauner may publish in the future.
Co-authors
The 8 scholars most cited alongside Erik Brauner, 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 | 2003 | 198 | |
| 2 | 2006 | 21 | |
| 3 | 2005 | 12 | |
| 4 | 1998 | 6 | |
| 5 | 2002 | 4 | |
| 6 | Commodity Trading Using Neural Networks: Models for the Gold Market | 1997 | 3 |
About Erik Brauner
Erik Brauner is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research and Biophysics, having authored 6 papers that have together received 244 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Forecasting Techniques and Applications (2 papers), Cell Image Analysis Techniques (2 papers), Neural Networks and Applications (2 papers), Stock Market Forecasting Methods (2 papers), Market Dynamics and Volatility (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (123 citations), Structural Biology (7 citations), Media Technology (19 citations), Molecular Biology (136 citations) and Information Systems and Management (13 citations). Erik Brauner has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include I. Goldberg, Jason R. Swedlow, Peter K. Sorger, Stuart L. Schreiber, Frederick P. Roth, Judith E. Dayhoff, Xiaoyun Sun and Xiaoyun Sun. Their work appears in journals such as Journal of Chemical Information and Modeling, International series in management science/operations research/International series in operations research & management science, Science and Digital Repository at the University of Maryland (University of Maryland College Park).
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.