Tony Pan
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Health Informatics top 5%
Papers in
-
- Scientific Computing and Data Management 17
- Biophysics 14
- Cell Image Analysis Techniques 14
- Co-authors
- Tahsin KurçJoel SaltzAshish SharmaLee CooperMetin N. GürcanJun KongHiro ShimadaFusheng Wang
- Journals
- Journal of Digital Imaging (5 papers)Parallel Computing (3 papers)Journal of the American Medical Informatics Association (3 papers)The International Journal of High Performance Computing Applications (2 papers)Developmental Medicine & Child Neurology (2 papers)
- Partner nations
- United StatesBrazilSpain
In The Last Decade
Tony Pan
69 papers receiving 914 citations
Peers
Comparison fields: 5 of 106
- Biophysics 174
- Health Informatics 23
- Information Systems and Management 107
- Computer Vision and Pattern Recognition 286
- Artificial Intelligence 347
Countries citing papers authored by Tony Pan
This map shows the geographic impact of Tony Pan'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 Tony Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Pan more than expected).
Fields of papers citing papers by Tony Pan
This network shows the impact of papers produced by Tony Pan. 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 Tony Pan. The network helps show where Tony Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tony Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 15 | |
| 7 | 2017 | 17 | |
| 8 | An Adaptive Parallel Algorithm for Computing Connectivity. | 2016 | 1 |
| 9 | 2013 | 26 | |
| 10 | 2013 | 4 | |
| 11 | 2012 | 23 | |
| 12 | 2012 | 33 | |
| 13 | 2011 | 46 | |
| 14 | 2010 | 9 | |
| 15 | 2008 | 7 | |
| 16 | 2008 | 1 | |
| 17 | 2007 | 10 | |
| 18 | 2006 | 79 | |
| 19 | 2005 | 7 | |
| 20 | 2004 | 5 |
About Tony Pan
Tony Pan is a scholar working on Information Systems and Management, Biophysics, Computer Networks and Communications, Hardware and Architecture and Health Informatics, having authored 72 papers that have together received 940 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (17 papers), Distributed and Parallel Computing Systems (17 papers), Cell Image Analysis Techniques (14 papers), Medical Image Segmentation Techniques (8 papers), Advanced Data Storage Technologies (8 papers), AI in cancer detection (8 papers), Genomics and Phylogenetic Studies (7 papers) and Single-cell and spatial transcriptomics (6 papers). The work is most often cited by research in Biophysics (174 citations), Health Informatics (23 citations), Information Systems and Management (107 citations), Computer Vision and Pattern Recognition (286 citations) and Artificial Intelligence (347 citations). Tony Pan has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Tahsin Kurç, Joel Saltz, Ashish Sharma, Lee Cooper, Metin N. Gürcan, Jun Kong, Joel Saltz, Hiro Shimada, Fusheng Wang and Srinivas Aluru. Their work appears in journals such as Journal of Digital Imaging, Parallel Computing, Journal of the American Medical Informatics Association, The International Journal of High Performance Computing Applications and Developmental Medicine & Child Neurology.
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.