Andrew Janowczyk
- Artificial Intelligence top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Biophysics top 0.5%
- Oncology top 10%
- Co-authors
- Anant MadabhushiHannah GilmoreMichael D. FeldmanAjay BasavanhallyDavid Romo‐BucheliCheng LuXiangxue WangSharat Chandran
- Topics
- AI in cancer detection (44 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)Cell Image Analysis Techniques (15 papers)
- Journals
- CirculationJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Andrew Janowczyk
63 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 1.7k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Computer Vision and Pattern Recognition 687
- Biophysics 390
- Oncology 387
Countries citing papers authored by Andrew Janowczyk
This map shows the geographic impact of Andrew Janowczyk'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 Andrew Janowczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Janowczyk more than expected).
Fields of papers citing papers by Andrew Janowczyk
This network shows the impact of papers produced by Andrew Janowczyk. 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 Andrew Janowczyk. The network helps show where Andrew Janowczyk may publish in the future.
Co-authorship network of co-authors of Andrew Janowczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Janowczyk. A scholar is included among the top collaborators of Andrew Janowczyk 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 Andrew Janowczyk. Andrew Janowczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 48 | |
| 11 | 42 | |
| 12 | 65 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 74 | |
| 16 | 65 | |
| 17 | 46 | |
| 18 | 151 | |
| 19 | 26 | |
| 20 | 46 |
About Andrew Janowczyk
Andrew Janowczyk is a scholar working on Biophysics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include AI in cancer detection (44 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Cell Image Analysis Techniques (15 papers). The work is most often cited by research in Health Informatics (132 citations), Biophysics (390 citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). Andrew Janowczyk has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Anant Madabhushi, Hannah Gilmore, Michael D. Feldman, Ajay Basavanhally, David Romo‐Bucheli, Cheng Lu, Xiangxue Wang, Sharat Chandran, Eduardo Romero and Jun Xu. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.