Daniel Weber
Impact in
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- Gaze Tracking and Assistive Technology
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- Cancer survivorship and care
Papers in
- Oncology 8
- CAR-T cell therapy research 2
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- Gaze Tracking and Assistive Technology 7
- Co-authors
- Kylie O’Brien (2 shared papers)Thomas Pabst (1 shared paper)Marianne Eyholzer (1 shared paper)Julian Schardt (1 shared paper)Beatrice U. Mueller (1 shared paper)Enkelejda Kasneci (5 shared papers)Geoffrey Currie (4 shared papers)Andreas Zell (4 shared papers)
In The Last Decade
Daniel Weber
25 papers receiving 234 citations
Peers
Comparison fields: 5 of 77
- Human-Computer Interaction 22
- Oncology 81
- Biological Psychiatry 7
- Cell Biology 36
- Complementary and alternative medicine 13
Countries citing papers authored by Daniel Weber
This map shows the geographic impact of Daniel Weber'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 Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Weber more than expected).
Fields of papers citing papers by Daniel Weber
This network shows the impact of papers produced by Daniel Weber. 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 Weber. The network helps show where Daniel Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Weber, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 73 | |
| 2 | 2009 | 54 | |
| 3 | 2016 | 15 | |
| 4 | 2020 | 13 | |
| 5 | 2002 | 11 | |
| 6 | 2014 | 10 | |
| 7 | Inflammation and cancer: tumor Initiation, progression and metastasis, and Chinese botanical medicines | 2010 | 8 |
| 8 | 2012 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 5 | |
| 14 | TweetNorm: Text Normalization on Italian Twitter Data. | 2016 | 3 |
| 15 | 2021 | 3 | |
| 16 | NERU: Named Entity Recognition for German | 2014 | 3 |
| 17 | 2017 | 2 | |
| 18 | Introduction to Integrative Oncology | 2009 | 2 |
| 19 | 2021 | 2 | |
| 20 | 2020 | 2 |
About Daniel Weber
Daniel Weber is a scholar working on Oncology, Human-Computer Interaction, Computer Vision and Pattern Recognition, Cancer Research and Aerospace Engineering, having authored 27 papers that have together received 242 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (7 papers), Robotics and Sensor-Based Localization (4 papers), Visual Attention and Saliency Detection (3 papers), Natural Language Processing Techniques (2 papers), Cancer, Lipids, and Metabolism (2 papers), CAR-T cell therapy research (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Human-Computer Interaction (22 citations), Oncology (81 citations), Biological Psychiatry (7 citations), Cell Biology (36 citations) and Complementary and alternative medicine (13 citations). Daniel Weber has collaborated with scholars based in Germany, China and Australia. Frequent co-authors include Kylie O’Brien, Thomas Pabst, Marianne Eyholzer, Julian Schardt, Beatrice U. Mueller, Enkelejda Kasneci, Geoffrey Currie, Andreas Zell, Matthias Graw and H. T. Haffner. Their work appears in journals such as Clinical Cancer Research, HOMO, Journal of Thoracic and Cardiovascular Surgery, Journal of Clinical Oncology and Cell Proliferation.
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.