Walter de Back
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
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- Hematopoietic Stem Cell Transplantation 3
-
- Distributed and Parallel Computing Systems 2
- Co-authors
- Lutz Brusch (5 shared papers)Andreas Deutsch (2 shared papers)Jörn Starruß (2 shared papers)Alvaro Köhn‐Luque (2 shared papers)Miguel A. Herrero (2 shared papers)Ingo Roeder (4 shared papers)Joseph Zhou (1 shared paper)Jihong Lin (1 shared paper)
- Journals
- Thrombosis and Haemostasis (1 paper)Journal of The Royal Society Interface (1 paper)Experimental Hematology (1 paper)BMC Systems Biology (1 paper)Nature Plants (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Walter de Back
22 papers receiving 708 citations
Peers
Comparison fields: 5 of 65
- Modeling and Simulation 50
- Hematology 71
- Cell Biology 56
- Biophysics 21
- Aging 3
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 208 | |
| 2 | 2019 | 102 | |
| 3 | 2007 | 94 | |
| 4 | 2019 | 43 | |
| 5 | 2011 | 41 | |
| 6 | 2013 | 39 | |
| 7 | 2019 | 39 | |
| 8 | 2021 | 29 | |
| 9 | 2012 | 27 | |
| 10 | 2009 | 26 | |
| 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 | 2019 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2009 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2018 | 5 | |
| 19 | 2006 | 2 | |
| 20 | Templates for distributed agent-based simulations on a quasi-opportunistic grid | 2008 | 2 |
About Walter de Back
Walter de Back is a scholar working on Hematology, Computer Networks and Communications, Biophysics, Molecular Biology and Archeology, having authored 23 papers that have together received 724 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Distributed and Parallel Computing Systems (2 papers), Angiogenesis and VEGF in Cancer (2 papers), AI in cancer detection (2 papers), Cellular Mechanics and Interactions (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Gene Regulatory Network Analysis (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Modeling and Simulation (50 citations), Hematology (71 citations), Cell Biology (56 citations), Biophysics (21 citations) and Aging (3 citations). Walter de Back has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Lutz Brusch, Andreas Deutsch, Jörn Starruß, Alvaro Köhn‐Luque, Miguel A. Herrero, Ingo Roeder, Joseph Zhou, Jihong Lin, Franziska vom Hagen and Urban Deutsch. Their work appears in journals such as Thrombosis and Haemostasis, Journal of The Royal Society Interface, Experimental Hematology, BMC Systems Biology and Nature Plants.
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.