Peter C. Jurs
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Spectroscopy top 0.2%
- Analytical Chemistry and Chromatography
Papers in
-
- Computational Drug Discovery Methods 86
- Spectroscopy 89
- Analytical Chemistry and Chromatography 67
- Molecular spectroscopy and chirality 23
- Co-authors
- David T. StantonMatthew D. WesselRajarshi GuhaJon M. SutterGregory W. KauffmanBrian MattioniWilliam E. BruggerPeter J. Hansen
- Journals
- Analytical Chemistry (48 papers)Analytica Chimica Acta (9 papers)Journal of Medicinal Chemistry (8 papers)Journal of Chemical Information and Modeling (6 papers)Applied Spectroscopy (4 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Peter C. Jurs
175 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Computational Theory and Mathematics 3.6k
- Spectroscopy 2.5k
- Sensory Systems 608
- Analytical Chemistry 990
- Organic Chemistry 2.0k
Countries citing papers authored by Peter C. Jurs
This map shows the geographic impact of Peter C. Jurs'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 Peter C. Jurs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter C. Jurs more than expected).
Fields of papers citing papers by Peter C. Jurs
This network shows the impact of papers produced by Peter C. Jurs. 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 Peter C. Jurs. The network helps show where Peter C. Jurs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter C. Jurs, 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 | 2005 | 99 | |
| 2 | 2005 | 6 | |
| 3 | 2004 | 43 | |
| 4 | 2003 | 38 | |
| 5 | 2003 | 30 | |
| 6 | 2002 | 38 | |
| 7 | 2001 | 107 | |
| 8 | 1999 | 4 | |
| 9 | 1995 | 10 | |
| 10 | 1994 | 11 | |
| 11 | 1992 | 107 | |
| 12 | 1991 | 35 | |
| 13 | 1991 | 1 | |
| 14 | 1990 | 61 | |
| 15 | 1990 | 22 | |
| 16 | 1987 | 3 | |
| 17 | 1985 | 10 | |
| 18 | 1981 | 53 | |
| 19 | Introduction to computer programming for chemists : FORTRAN | 1979 | 1 |
| 20 | 1978 | 33 |
About Peter C. Jurs
Peter C. Jurs is a scholar working on Computational Theory and Mathematics, Spectroscopy, Analytical Chemistry, Physical and Theoretical Chemistry and Organic Chemistry, having authored 175 papers that have together received 7.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (86 papers), Analytical Chemistry and Chromatography (67 papers), Spectroscopy and Chemometric Analyses (29 papers), Molecular spectroscopy and chirality (23 papers), Free Radicals and Antioxidants (21 papers), Advanced Chemical Sensor Technologies (21 papers), Chemical Thermodynamics and Molecular Structure (17 papers) and Various Chemistry Research Topics (13 papers). The work is most often cited by research in Computational Theory and Mathematics (3.6k citations), Spectroscopy (2.5k citations), Sensory Systems (608 citations), Analytical Chemistry (990 citations) and Organic Chemistry (2.0k citations). Peter C. Jurs has collaborated with scholars based in United States and Germany. Frequent co-authors include David T. Stanton, Matthew D. Wessel, Rajarshi Guha, Jon M. Sutter, Gregory W. Kauffman, Brian Mattioni, William E. Brugger, Peter J. Hansen, Louis D. Lowry and Richard L. Doty. Their work appears in journals such as Analytical Chemistry, Analytica Chimica Acta, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Applied Spectroscopy.
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.