Martin Vogt
- Computational Theory and Mathematics top 0.2%
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Pharmacology top 2%
- Co-authors
- Jürgen BajorathDagmar StumpfeGerald M. MaggioraHanna GeppertArne SkerraRaquel Rodríguez-PérezYe HuXiaoying Hu
- Topics
- Computational Drug Discovery Methods (64 papers)Metabolomics and Mass Spectrometry Studies (21 papers)Machine Learning in Materials Science (21 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaNature Biotechnology
- 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
- Molecular Biology 1.3k
- Organic Chemistry 582
- Materials Chemistry 575
- Pharmacology 355
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 of co-authors of Martin Vogt
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Vogt. A scholar is included among the top collaborators of Martin Vogt 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 Martin Vogt. Martin Vogt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 66 | |
| 3 | 16 | |
| 4 | 43 | |
| 5 | 19 | |
| 6 | 12 | |
| 7 | 24 | |
| 8 | 27 | |
| 9 | 20 | |
| 10 | 34 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | On the existence of a posterior distribution for spatial mixed models with binomial responses | 2 |
| 14 | 16 | |
| 15 | 21 | |
| 16 | 158 | |
| 17 | 21 | |
| 18 | 82 | |
| 19 | Der Friede von Rijswijk 1697 | 3 |
| 20 | Die Kabinette Stresemann I u. II : 13. August bis 6. Oktober 1923, 6. Oktober bis 30. November 1923 | 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) and Machine Learning in Materials Science (21 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. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.