Daniel Wolffram
Impact in
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- Gaze Tracking and Assistive Technology
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- COVID-19 epidemiological studies
Papers in
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- Tactile and Sensory Interactions 2
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- Gaze Tracking and Assistive Technology 1
- Co-authors
- Michael Beigl (4 shared papers)Matthias Budde (3 shared papers)Melanie Schienle (2 shared papers)Christopher Clarke (1 shared paper)Johannes Bracher (4 shared papers)Tilmann Gneiting (1 shared paper)Sebastian Lerch (1 shared paper)Alexander I. Jordan (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Annual Review of Statistics and Its Application (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Wolffram
7 papers receiving 105 citations
Peers
Comparison fields: 5 of 48
- Human-Computer Interaction 22
- Modeling and Simulation 10
- Cognitive Neuroscience 24
- Signal Processing 13
- Statistics and Probability 6
Countries citing papers authored by Daniel Wolffram
This map shows the geographic impact of Daniel Wolffram'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 Daniel Wolffram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wolffram more than expected).
Fields of papers citing papers by Daniel Wolffram
This network shows the impact of papers produced by Daniel Wolffram. 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 Daniel Wolffram. The network helps show where Daniel Wolffram may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wolffram, 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 | 2019 | 50 | |
| 2 | 2022 | 21 | |
| 3 | 2021 | 13 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2020 | 6 | |
| 7 | 2021 | 2 | |
| 8 | 2025 | 0 |
About Daniel Wolffram
Daniel Wolffram is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Modeling and Simulation, Biomedical Engineering and Computer Networks and Communications, having authored 8 papers that have together received 108 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Tactile and Sensory Interactions (2 papers), Gaze Tracking and Assistive Technology (1 paper), Hydrology and Drought Analysis (1 paper), Hearing Impairment and Communication (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Monetary Policy and Economic Impact (1 paper) and Bluetooth and Wireless Communication Technologies (1 paper). The work is most often cited by research in Human-Computer Interaction (22 citations), Modeling and Simulation (10 citations), Cognitive Neuroscience (24 citations), Signal Processing (13 citations) and Statistics and Probability (6 citations). Daniel Wolffram has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Michael Beigl, Matthias Budde, Melanie Schienle, Christopher Clarke, Johannes Bracher, Tilmann Gneiting, Sebastian Lerch, Alexander I. Jordan, Veit Hagenmeyer and Hongye Sun. Their work appears in journals such as PLoS Computational Biology, Annual Review of Statistics and Its Application and Repository KITopen (Karlsruhe Institute of Technology).
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.