Walter de Back
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Angiogenesis and VEGF in Cancer 3
- Congenital heart defects research 2
-
- Cell Image Analysis Techniques 4
- Advanced Fluorescence Microscopy Techniques 2
- Co-authors
- Lutz Brusch (5 shared papers)Jörn Starruß (3 shared papers)Andreas Deutsch (2 shared papers)Miguel A. Herrero (2 shared papers)Alvaro Köhn‐Luque (2 shared papers)Frederick Pfister (1 shared paper)Yuxi Feng (1 shared paper)Jihong Lin (1 shared paper)
- Journals
- Bioinformatics (1 paper)Thrombosis and Haemostasis (1 paper)Nature Plants (1 paper)Experimental Hematology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Walter de Back
22 papers receiving 646 citations
Peers
Comparison fields: 5 of 109
- Modeling and Simulation 90
- Biophysics 52
- Cell Biology 123
- Hematology 72
- Molecular Biology 266
Countries citing papers authored by Walter de Back
This map shows the geographic impact of Walter de Back'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 Walter de Back with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter de Back more than expected).
Fields of papers citing papers by Walter de Back
This network shows the impact of papers produced by Walter de Back. 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 Walter de Back. The network helps show where Walter de Back may publish in the future.
Co-authors
The 25 scholars most cited alongside Walter de Back, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 184 | |
| 2 | 2019 | 94 | |
| 3 | 2007 | 91 | |
| 4 | 2019 | 41 | |
| 5 | 2011 | 40 | |
| 6 | 2013 | 37 | |
| 7 | 2019 | 33 | |
| 8 | 2021 | 28 | |
| 9 | 2009 | 25 | |
| 10 | 2012 | 24 | |
| 11 | 2013 | 16 | |
| 12 | 2015 | 11 | |
| 13 | Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging | 2019 | 8 |
| 14 | 2009 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2018 | 3 | |
| 18 | Templates for distributed agent-based simulations on a quasi-opportunistic grid | 2008 | 2 |
| 19 | 2006 | 2 | |
| 20 | 2020 | 1 |
About Walter de Back
Walter de Back is a scholar working on Molecular Biology, Biophysics, Computer Networks and Communications, Cell Biology and Modeling and Simulation, having authored 25 papers that have together received 661 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Mathematical Biology Tumor Growth (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Congenital heart defects research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Evolution and Genetic Dynamics (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Modeling and Simulation (90 citations), Biophysics (52 citations), Cell Biology (123 citations), Hematology (72 citations) and Molecular Biology (266 citations). Walter de Back has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Lutz Brusch, Jörn Starruß, Andreas Deutsch, Miguel A. Herrero, Alvaro Köhn‐Luque, Frederick Pfister, Yuxi Feng, Jihong Lin, Urban Deutsch and Patrick Wagner. Their work appears in journals such as Bioinformatics, Thrombosis and Haemostasis, Nature Plants, Experimental Hematology and PLoS Computational Biology.
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.