Johann Gasteiger
- Computational Theory and Mathematics top 0.01%
- Computational Drug Discovery Methods 109
- Spectroscopy top 0.1%
- Analytical Chemistry and Chromatography 56
- Analytical Chemistry top 0.1%
- Spectroscopy and Chemometric Analyses 16
- Physical and Theoretical Chemistry top 0.2%
- History and advancements in chemistry 22
- Various Chemistry Research Topics 16
- Organic Chemistry top 0.5%
-
- Chemical Synthesis and Analysis 23
- Metabolomics and Mass Spectrometry Studies 15
-
- Machine Learning in Materials Science 19
Johann Gasteiger
243 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Computational Theory and Mathematics 7.9k
- Spectroscopy 3.1k
- Analytical Chemistry 1.4k
- Physical and Theoretical Chemistry 1.2k
- Organic Chemistry 3.6k
Countries citing papers authored by Johann Gasteiger
This map shows the geographic impact of Johann Gasteiger'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 Johann Gasteiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johann Gasteiger more than expected).
Fields of papers citing papers by Johann Gasteiger
This network shows the impact of papers produced by Johann Gasteiger. 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 Johann Gasteiger. The network helps show where Johann Gasteiger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johann Gasteiger, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2016 | 7 | |
| 4 | 2014 | 31 | |
| 5 | 2014 | 6 | |
| 6 | 2014 | 5 | |
| 7 | 2010 | 10 | |
| 8 | 2008 | 10 | |
| 9 | 2007 | 129 | |
| 10 | 2006 | 1 | |
| 11 | Virtual Computational Chemistry Laboratory – Design and Descriptionbreakdown → | 2005 | 1267 |
| 12 | 2004 | 25 | |
| 13 | 2004 | 34 | |
| 14 | 2002 | 36 | |
| 15 | Biochemical Pathways As a Reaction Database. | 2000 | 1 |
| 16 | 2000 | 16 | |
| 17 | Software development in chemistry 4 : proceedings of the 4th Workshop "Computers in Chemistry," Hochfilzen, Tyrol, November 22-24, 1989 | 1990 | 1 |
| 18 | Schematic sweet and bitter receptors--a computer approach. | 1988 | 1 |
| 19 | 1985 | 60 | |
| 20 | Organic compounds : syntheses, stereochemistry, reactivity | 1978 | 1 |
About Johann Gasteiger
Johann Gasteiger is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Spectroscopy, having authored 251 papers that have together received 17.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (109 papers), Analytical Chemistry and Chromatography (56 papers), Chemical Synthesis and Analysis (23 papers), History and advancements in chemistry (22 papers), Machine Learning in Materials Science (19 papers), Spectroscopy and Chemometric Analyses (16 papers), Various Chemistry Research Topics (16 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). The work is most often cited by research in Computational Theory and Mathematics (7.9k citations), Spectroscopy (3.1k citations) and Analytical Chemistry (1.4k citations). Johann Gasteiger has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Mario Marsili, Jure Zupan, Jens Sadowski, Markus Wagener, Christine Rudolph, Roberto Todeschini, G. Klebe, Markus C. Hemmer, Lothar Terfloth and Jan Schuur. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and Bioinformatics.
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.