Volkmar Liebscher
- Molecular Biology
- Genetics top 10%
- Cancer Research
- Mathematical Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Gerhard WinklerUwe FranzMichael SkeideTim M. StromJohannes MüllerAnna KuparinenJohn CouwenbergMartin Theuerkauf
- Topics
- Gene Regulatory Network Analysis (9 papers)Advanced Operator Algebra Research (7 papers)Bioinformatics and Genomic Networks (7 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Volkmar Liebscher
60 papers receiving 968 citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 439
- Genetics 193
- Cancer Research 132
- Mathematical Physics 106
- Computer Vision and Pattern Recognition 99
Countries citing papers authored by Volkmar Liebscher
This map shows the geographic impact of Volkmar Liebscher'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 Volkmar Liebscher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volkmar Liebscher more than expected).
Fields of papers citing papers by Volkmar Liebscher
This network shows the impact of papers produced by Volkmar Liebscher. 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 Volkmar Liebscher. The network helps show where Volkmar Liebscher may publish in the future.
Co-authorship network of co-authors of Volkmar Liebscher
This figure shows the co-authorship network connecting the top 25 collaborators of Volkmar Liebscher. A scholar is included among the top collaborators of Volkmar Liebscher 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 Volkmar Liebscher. Volkmar Liebscher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | DISQOVER the Landcover - R based tools for quantitative vegetation reconstruction | 2 |
| 8 | 148 | |
| 9 | Fully Automatic Renal Parenchyma Volumetry in LDA-based Probability Maps Using Variational Outer Cortex Edge Alignment Forces. | 1 |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 33 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 93 | |
| 17 | 30 | |
| 18 | Don't shed tears over breaks | 6 |
| 19 | 3 | |
| 20 | 41 |
About Volkmar Liebscher
Volkmar Liebscher is a scholar working on Mathematical Physics, Statistics and Probability and Geometry and Topology, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Advanced Operator Algebra Research (7 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Mathematical Physics (106 citations), Statistics and Probability (82 citations) and Cancer Research (132 citations). Volkmar Liebscher has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Gerhard Winkler, Uwe Franz, Michael Skeide, Tim M. Strom, Johannes Müller, Anna Kuparinen, John Couwenberg, Martin Theuerkauf, Uwe Völker and Georg Homuth. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.