Daniel A. Roberts
Impact in
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- Computer Graphics and Visualization Techniques
Papers in
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- Data Visualization and Analytics 5
- Image Retrieval and Classification Techniques 3
- Co-authors
- Chris Shaw (5 shared papers)David S. Ebert (5 shared papers)Lisa J. Wood (1 shared paper)Collin Elsea (1 shared paper)Brian Druker (1 shared paper)Walter L. Gabler (1 shared paper)David P. Steensma (3 shared papers)Jason A. Freed (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)JCO Oncology Practice (3 papers)IEEE Transactions on Microwave Theory and Techniques (1 paper)JCO Clinical Cancer Informatics (1 paper)Current Hematologic Malignancy Reports (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel A. Roberts
27 papers receiving 323 citations
Peers
Comparison fields: 5 of 110
- Computational Mathematics 7
- Computer Graphics and Computer-Aided Design 40
- Computer Vision and Pattern Recognition 92
- Transplantation 8
- Signal Processing 31
Countries citing papers authored by Daniel A. Roberts
This map shows the geographic impact of Daniel A. Roberts'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 A. Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Roberts more than expected).
Fields of papers citing papers by Daniel A. Roberts
This network shows the impact of papers produced by Daniel A. Roberts. 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 A. Roberts. The network helps show where Daniel A. Roberts may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Roberts, 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 | 2008 | 59 | |
| 2 | 2000 | 47 | |
| 3 | 1999 | 33 | |
| 4 | 1987 | 32 | |
| 5 | 2014 | 17 | |
| 6 | 2016 | 17 | |
| 7 | 2020 | 17 | |
| 8 | 1999 | 16 | |
| 9 | 1999 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2014 | 13 | |
| 12 | 2010 | 12 | |
| 13 | 1982 | 11 | |
| 14 | 1998 | 11 | |
| 15 | 2020 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 1964 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2025 | 2 |
About Daniel A. Roberts
Daniel A. Roberts is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Surgery and Computer Networks and Communications, having authored 27 papers that have together received 353 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Computer Graphics and Visualization Techniques (4 papers), Cancer Genomics and Diagnostics (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Image Retrieval and Classification Techniques (3 papers), Economic and Financial Impacts of Cancer (2 papers), Advances in Oncology and Radiotherapy (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Computational Mathematics (7 citations), Computer Graphics and Computer-Aided Design (40 citations), Computer Vision and Pattern Recognition (92 citations), Transplantation (8 citations) and Signal Processing (31 citations). Daniel A. Roberts has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Chris Shaw, David S. Ebert, Lisa J. Wood, Collin Elsea, Brian Druker, Walter L. Gabler, David P. Steensma, Jason A. Freed, James A. Hall and Hagop M. Kantarjian. Their work appears in journals such as Journal of Clinical Oncology, JCO Oncology Practice, IEEE Transactions on Microwave Theory and Techniques, JCO Clinical Cancer Informatics and Current Hematologic Malignancy Reports.
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.