Daniel J. Valentino
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Emergency Medicine top 5%
- Neurology top 10%
- Co-authors
- Audrey H. ZhuangGary DuckwilerArthur W. TogaWoei‐Chyn ChuDorion WileyKimberly JosephAndrew DennisKimberly Nagy
- Topics
- Digital Radiography and Breast Imaging (14 papers)Medical Image Segmentation Techniques (12 papers)Medical Imaging Techniques and Applications (11 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Daniel J. Valentino
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 137
- Radiology, Nuclear Medicine and Imaging 324
- Computer Vision and Pattern Recognition 321
- Pulmonary and Respiratory Medicine 231
- Emergency Medicine 189
- Neurology 182
Countries citing papers authored by Daniel J. Valentino
This map shows the geographic impact of Daniel J. Valentino'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 J. Valentino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Valentino more than expected).
Fields of papers citing papers by Daniel J. Valentino
This network shows the impact of papers produced by Daniel J. Valentino. 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 J. Valentino. The network helps show where Daniel J. Valentino may publish in the future.
Co-authorship network of co-authors of Daniel J. Valentino
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Valentino. A scholar is included among the top collaborators of Daniel J. Valentino 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 J. Valentino. Daniel J. Valentino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 3 | |
| 3 | 200 | |
| 4 | 9 | |
| 5 | 24 | |
| 6 | 18 | |
| 7 | 73 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 55 | |
| 11 | 19 | |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 33 | |
| 20 | A dedicated digital projectional radiographic system | 2 |
About Daniel J. Valentino
Daniel J. Valentino is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (14 papers), Medical Image Segmentation Techniques (12 papers) and Medical Imaging Techniques and Applications (11 papers). The work is most often cited by research in Emergency Medicine (189 citations), Endocrine and Autonomic Systems (119 citations) and Computer Vision and Pattern Recognition (321 citations). Daniel J. Valentino has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Audrey H. Zhuang, Gary Duckwiler, Arthur W. Toga, Woei‐Chyn Chu, Dorion Wiley, Kimberly Joseph, Andrew Dennis, Kimberly Nagy, Faran Bokhari and Robert Walter. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and NeuroImage.
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.