Martin Vogt
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 64
- Pharmacology top 2%
- Microbial Natural Products and Biosynthesis 10
- Cholinesterase and Neurodegenerative Diseases 6
- Organic Chemistry top 5%
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 21
- Bioinformatics and Genomic Networks 10
- Inorganic Chemistry top 5%
- Synthesis and characterization of novel inorganic/organometallic compounds 9
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- Machine Learning in Materials Science 21
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- Analytical Chemistry and Chromatography 20
- Co-authors
- Jürgen BajorathDagmar StumpfeGerald M. MaggioraHanna GeppertArne SkerraRaquel Rodríguez-PérezYe HuXiaoying Hu
- Partner nations
- GermanyUnited StatesMexico
In The Last Decade
Martin Vogt
107 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Computational Theory and Mathematics 1.5k
- Pharmacology 355
- Organic Chemistry 582
- Molecular Biology 1.3k
- Inorganic Chemistry 234
Countries citing papers authored by Martin Vogt
This map shows the geographic impact of Martin Vogt'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 Martin Vogt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Vogt more than expected).
Fields of papers citing papers by Martin Vogt
This network shows the impact of papers produced by Martin Vogt. 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 Martin Vogt. The network helps show where Martin Vogt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Vogt, 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 | 2020 | 15 | |
| 2 | 2019 | 66 | |
| 3 | 2016 | 16 | |
| 4 | 2015 | 43 | |
| 5 | 2015 | 19 | |
| 6 | 2015 | 12 | |
| 7 | 2015 | 24 | |
| 8 | 2014 | 27 | |
| 9 | 2013 | 20 | |
| 10 | 2012 | 34 | |
| 11 | 2010 | 7 | |
| 12 | 2010 | 1 | |
| 13 | On the existence of a posterior distribution for spatial mixed models with binomial responses | 2009 | 2 |
| 14 | 2007 | 16 | |
| 15 | 2007 | 21 | |
| 16 | 2005 | 158 | |
| 17 | 2005 | 21 | |
| 18 | 2001 | 82 | |
| 19 | Der Friede von Rijswijk 1697 | 1998 | 3 |
| 20 | Die Kabinette Stresemann I u. II : 13. August bis 6. Oktober 1923, 6. Oktober bis 30. November 1923 | 1978 | 1 |
About Martin Vogt
Martin Vogt is a scholar working on Computational Theory and Mathematics, Chemical Health and Safety and Spectroscopy, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (64 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Machine Learning in Materials Science (21 papers), Analytical Chemistry and Chromatography (20 papers), Microbial Natural Products and Biosynthesis (10 papers), Bioinformatics and Genomic Networks (10 papers), Synthesis and characterization of novel inorganic/organometallic compounds (9 papers) and Cholinesterase and Neurodegenerative Diseases (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Pharmacology (355 citations) and Organic Chemistry (582 citations). Martin Vogt has collaborated with scholars based in Germany, United States and Mexico. Frequent co-authors include Jürgen Bajorath, Dagmar Stumpfe, Gerald M. Maggiora, Hanna Geppert, Arne Skerra, Raquel Rodríguez-Pérez, Ye Hu, Xiaoying Hu, Thomas M. Klapötke and Péter Mayer.
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.