Daniel L. Recla
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging
- Public Health, Environmental and Occupational Health
- Oncology
- Physiology
- Co-authors
- Bruce E. DunnHongyung ChoiUrias A. AlmagroRonald S. WeinsteinElizabeth A. KrupinskiSarah E. KerrAnna R. GrahamCraig W. Davis
- Topics
- AI in cancer detection (8 papers)Clinical Laboratory Practices and Quality Control (4 papers)Telemedicine and Telehealth Implementation (3 papers)
- Partner nations
- United States
In The Last Decade
Daniel L. Recla
8 papers receiving 327 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 236
- Radiology, Nuclear Medicine and Imaging 99
- Public Health, Environmental and Occupational Health 80
- Oncology 73
- Physiology 64
Countries citing papers authored by Daniel L. Recla
This map shows the geographic impact of Daniel L. Recla'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 L. Recla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Recla more than expected).
Fields of papers citing papers by Daniel L. Recla
This network shows the impact of papers produced by Daniel L. Recla. 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 L. Recla. The network helps show where Daniel L. Recla may publish in the future.
Co-authorship network of co-authors of Daniel L. Recla
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Recla. A scholar is included among the top collaborators of Daniel L. Recla 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 Daniel L. Recla. Daniel L. Recla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 30 | |
| 3 | 35 | |
| 4 | 39 | |
| 5 | 76 | |
| 6 | 85 | |
| 7 | 38 | |
| 8 | The gross pathology workstation: An essential component of a dynamic-robotic telepathology system | 7 |
About Daniel L. Recla
Daniel L. Recla is a scholar working on Artificial Intelligence, Ecological Modeling and Physiology, having authored 8 papers that have together received 344 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Clinical Laboratory Practices and Quality Control (4 papers) and Telemedicine and Telehealth Implementation (3 papers). The work is most often cited by research in Artificial Intelligence (236 citations), Health Informatics (9 citations) and Biophysics (33 citations). Daniel L. Recla has collaborated with scholars based in United States. Frequent co-authors include Bruce E. Dunn, Hongyung Choi, Urias A. Almagro, Ronald S. Weinstein, Elizabeth A. Krupinski, Sarah E. Kerr, Anna R. Graham and Craig W. Davis. Their work appears in journals such as Human Pathology, Telemedicine Journal and e-Health and Seminars in Diagnostic 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.