Steffen Wolf
Impact in
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- Advanced Electron Microscopy Techniques and Applications
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- Cell Image Analysis Techniques
Papers in
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- Caching and Content Delivery 3
- Peer-to-Peer Network Technologies 3
- Optimization and Search Problems 1
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- Neural Networks and Applications 1
- Co-authors
- Peter Merz (3 shared papers)Katie McDole (2 shared papers)Constantin Pape (2 shared papers)Alberto Bailoni (2 shared papers)Yinan Wan (1 shared paper)Fred A. Hamprecht (3 shared papers)Anna Kreshuk (2 shared papers)Ullrich Köthe (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Development (1 paper)Developmental Cell (1 paper)International Conference on Learning Representations (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Steffen Wolf
11 papers receiving 72 citations
Peers
Comparison fields: 5 of 44
- Structural Biology 6
- Biophysics 20
- Computer Vision and Pattern Recognition 16
- Computer Networks and Communications 14
- Media Technology 5
Countries citing papers authored by Steffen Wolf
This map shows the geographic impact of Steffen Wolf'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 Steffen Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Wolf more than expected).
Fields of papers citing papers by Steffen Wolf
This network shows the impact of papers produced by Steffen Wolf. 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 Steffen Wolf. The network helps show where Steffen Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Steffen Wolf, 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 | 2020 | 25 | |
| 2 | 2021 | 14 | |
| 3 | 2022 | 9 | |
| 4 | 2008 | 7 | |
| 5 | 2024 | 6 | |
| 6 | TreeOpt: Self-Organizing, Evolving P2P Overlay Topologies Based On Spanning Trees | 2011 | 3 |
| 7 | 2008 | 3 | |
| 8 | Learning the Arrow of Time for Problems in Reinforcement Learning | 2020 | 2 |
| 9 | On the Complexity of the Uncapacitated Single Allocation p-Hub Median Problem with Equal Weights | 2007 | 2 |
| 10 | 2015 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2015 | 0 | |
| 13 | 2021 | 0 |
About Steffen Wolf
Steffen Wolf is a scholar working on Computer Networks and Communications, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Biophysics, having authored 13 papers that have together received 73 indexed citations. Recurring topics across this work include Caching and Content Delivery (3 papers), Peer-to-Peer Network Technologies (3 papers), Cell Image Analysis Techniques (2 papers), Vehicle Routing Optimization Methods (1 paper), Single-cell and spatial transcriptomics (1 paper), Optimization and Search Problems (1 paper), Particle Detector Development and Performance (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Structural Biology (6 citations), Biophysics (20 citations), Computer Vision and Pattern Recognition (16 citations), Computer Networks and Communications (14 citations) and Media Technology (5 citations). Steffen Wolf has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Peter Merz, Katie McDole, Constantin Pape, Alberto Bailoni, Yinan Wan, Fred A. Hamprecht, Anna Kreshuk, Ullrich Köthe, Nasim Rahaman and Thorsten Beier. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Development, Developmental Cell, International Conference on Learning Representations and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.