David Harris‐Birtill
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Electrical and Electronic Engineering
- Biomaterials
- Co-authors
- Aaron QuigleyDaniel S. ElsonMohan SinghHui-Shyong YeoAdriana WildeGayle DohertyGeorge B. HannaSheraz R. Markar
- Topics
- AI in cancer detection (9 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Photoacoustic and Ultrasonic Imaging (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal Of Pathology
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
David Harris‐Birtill
27 papers receiving 508 citations
Peers
Comparison fields: 5 of 111
- Biomedical Engineering 181
- Computer Vision and Pattern Recognition 79
- Materials Chemistry 75
- Electrical and Electronic Engineering 71
- Biomaterials 66
Countries citing papers authored by David Harris‐Birtill
This map shows the geographic impact of David Harris‐Birtill'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 David Harris‐Birtill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Harris‐Birtill more than expected).
Fields of papers citing papers by David Harris‐Birtill
This network shows the impact of papers produced by David Harris‐Birtill. 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 David Harris‐Birtill. The network helps show where David Harris‐Birtill may publish in the future.
Co-authorship network of co-authors of David Harris‐Birtill
This figure shows the co-authorship network connecting the top 25 collaborators of David Harris‐Birtill. A scholar is included among the top collaborators of David Harris‐Birtill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Harris‐Birtill. David Harris‐Birtill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 86 | |
| 12 | 16 | |
| 13 | 19 | |
| 14 | 21 | |
| 15 | 115 | |
| 16 | 31 | |
| 17 | 82 | |
| 18 | 49 | |
| 19 | 2 | |
| 20 | 2 |
About David Harris‐Birtill
David Harris‐Birtill is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Biophysics, having authored 27 papers that have together received 519 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). The work is most often cited by research in Human-Computer Interaction (65 citations), Health Informatics (12 citations) and Biomaterials (66 citations). David Harris‐Birtill has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Aaron Quigley, Daniel S. Elson, Mohan Singh, Hui-Shyong Yeo, Adriana Wilde, Gayle Doherty, George B. Hanna, Sheraz R. Markar, Maria Elena Gallina and David Morrison. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal Of Pathology.
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.