Gregory A. Bakken
- Biomedical Engineering top 10%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Spectroscopy top 5%
- Materials Chemistry
- Co-authors
- P. C. JursPeter C. JursK. BrajeshJohn H. KalivasFranco LombardoRay UnwallaFrank M. DiCapuaMichael D. Miller
- Topics
- Computational Drug Discovery Methods (10 papers)Machine Learning in Materials Science (5 papers)Analytical Chemistry and Chromatography (4 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Gregory A. Bakken
18 papers receiving 878 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Biomedical Engineering 378
- Molecular Biology 280
- Computational Theory and Mathematics 242
- Spectroscopy 229
- Materials Chemistry 195
Countries citing papers authored by Gregory A. Bakken
This map shows the geographic impact of Gregory A. Bakken'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 Gregory A. Bakken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory A. Bakken more than expected).
Fields of papers citing papers by Gregory A. Bakken
This network shows the impact of papers produced by Gregory A. Bakken. 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 Gregory A. Bakken. The network helps show where Gregory A. Bakken may publish in the future.
Co-authorship network of co-authors of Gregory A. Bakken
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory A. Bakken. A scholar is included among the top collaborators of Gregory A. Bakken 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 Gregory A. Bakken. Gregory A. Bakken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 23 | |
| 3 | 43 | |
| 4 | 3 | |
| 5 | 27 | |
| 6 | 38 | |
| 7 | 12 | |
| 8 | 74 | |
| 9 | 28 | |
| 10 | 11 | |
| 11 | Computational Methods for the Analysis of Chemical Sensor Array Data from Volatile Analytesbreakdown → | 485 |
| 12 | 61 | |
| 13 | 4 | |
| 14 | 28 | |
| 15 | 13 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 12 |
About Gregory A. Bakken
Gregory A. Bakken is a scholar working on Computational Theory and Mathematics, Analytical Chemistry and Bioengineering, having authored 18 papers that have together received 900 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (5 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Bioengineering (158 citations), Computational Theory and Mathematics (242 citations) and Spectroscopy (229 citations). Gregory A. Bakken has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include P. C. Jurs, Peter C. Jurs, K. Brajesh, John H. Kalivas, Franco Lombardo, Ray Unwalla, Frank M. DiCapua, Michael D. Miller, Meihua Tu and David M. Potter. Their work appears in journals such as Chemical Reviews, Journal of Medicinal Chemistry and Analytica Chimica Acta.
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.