Viktor Achter
Impact in
- Health Informatics top 10%
- Paleontology top 10%
Papers in ⓘ
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- Genomics and Phylogenetic Studies 2
- Protist diversity and phylogeny 1
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Steven H. Strauss (1 shared paper)Patrick Kück (1 shared paper)Arndt von Haeseler (1 shared paper)Bernhard Misof (1 shared paper)G. Pass (1 shared paper)Björn M. von Reumont (1 shared paper)Heike Hadrys (1 shared paper)Manfred Walzl (1 shared paper)
- Journals
- Scientific Reports (1 paper)Modern Pathology (1 paper)Molecular Biology and Evolution (1 paper)BMC Bioinformatics (1 paper)Nature Protocols (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Viktor Achter
9 papers receiving 420 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 14
- Paleontology 54
- Ecology, Evolution, Behavior and Systematics 115
- Genetics 123
- Biophysics 17
Countries citing papers authored by Viktor Achter
This map shows the geographic impact of Viktor Achter'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 Viktor Achter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Achter more than expected).
Fields of papers citing papers by Viktor Achter
This network shows the impact of papers produced by Viktor Achter. 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 Viktor Achter. The network helps show where Viktor Achter may publish in the future.
Co-authors
The 25 scholars most cited alongside Viktor Achter, 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 | 2010 | 267 | |
| 2 | 2021 | 84 | |
| 3 | 2018 | 38 | |
| 4 | 2015 | 22 | |
| 5 | 2020 | 6 | |
| 6 | Geburt der Strafe | 1951 | 4 |
| 7 | 2019 | 4 | |
| 8 | Nachhaltigkeitsstrategien bei der Entwicklung eines Lernportals im D-Grid. | 2009 | 1 |
| 9 | 2009 | 1 | |
| 10 | 2025 | 0 |
About Viktor Achter
Viktor Achter is a scholar working on Molecular Biology, Cancer Research, Computer Networks and Communications, Sociology and Political Science and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 427 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (2 papers), Genomics and Phylogenetic Studies (2 papers), Peer-to-Peer Network Technologies (1 paper), Education Methods and Technologies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Protist diversity and phylogeny (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Health Informatics (14 citations), Paleontology (54 citations), Ecology, Evolution, Behavior and Systematics (115 citations), Genetics (123 citations) and Biophysics (17 citations). Viktor Achter has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Steven H. Strauss, Patrick Kück, Arndt von Haeseler, Bernhard Misof, G. Pass, Björn M. von Reumont, Heike Hadrys, Manfred Walzl, Sabrina Simon and Sebastian Breuers. Their work appears in journals such as Scientific Reports, Modern Pathology, Molecular Biology and Evolution, BMC Bioinformatics and Nature Protocols.
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.