Daniel Wolffram
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Innovative Human-Technology Interaction
Papers in
-
- COVID-19 epidemiological studies 6
-
- Innovative Human-Technology Interaction 1
- Interactive and Immersive Displays 1
- Co-authors
- Matthias Budde (3 shared papers)Michael Beigl (4 shared papers)Tobias Röddiger (4 shared papers)Johannes Bracher (5 shared papers)Melanie Schienle (2 shared papers)Christopher Clarke (1 shared paper)Tilmann Gneiting (1 shared paper)Alexander I. Jordan (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Annual Review of Statistics and Its Application (1 paper)Wellcome Open Research (1 paper)eLife (1 paper)BMC Medicine (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Wolffram
10 papers receiving 183 citations
Peers
Comparison fields: 5 of 43
- Modeling and Simulation 59
- Human-Computer Interaction 20
- Signal Processing 13
- Management Science and Operations Research 20
- Computer Vision and Pattern Recognition 26
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 | 2023 | 55 | |
| 2 | 2019 | 52 | |
| 3 | 2022 | 23 | |
| 4 | 2021 | 16 | |
| 5 | 2022 | 15 | |
| 6 | 2023 | 15 | |
| 7 | 2020 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Daniel Wolffram
Daniel Wolffram is a scholar working on Modeling and Simulation, Human-Computer Interaction, Epidemiology, Management Science and Operations Research and Cognitive Neuroscience, having authored 12 papers that have together received 191 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Data-Driven Disease Surveillance (2 papers), Tactile and Sensory Interactions (1 paper), Innovative Human-Technology Interaction (1 paper), Context-Aware Activity Recognition Systems (1 paper), Interactive and Immersive Displays (1 paper), Forecasting Techniques and Applications (1 paper) and Nanomaterials and Printing Technologies (1 paper). The work is most often cited by research in Modeling and Simulation (59 citations), Human-Computer Interaction (20 citations), Signal Processing (13 citations), Management Science and Operations Research (20 citations) and Computer Vision and Pattern Recognition (26 citations). Daniel Wolffram has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Matthias Budde, Michael Beigl, Tobias Röddiger, Johannes Bracher, Melanie Schienle, Christopher Clarke, Tilmann Gneiting, Alexander I. Jordan, Sebastian Lerch and Veit Hagenmeyer. Their work appears in journals such as PLoS Computational Biology, Annual Review of Statistics and Its Application, Wellcome Open Research, eLife and BMC Medicine.
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.