Samir Patel

2.7k total citations · 1 hit paper
86 papers, 1.6k citations indexed

About

Samir Patel is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Samir Patel has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Vision and Pattern Recognition and 16 papers in Artificial Intelligence. Recurrent topics in Samir Patel's work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Breast Cancer Treatment Studies (6 papers). Samir Patel is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Breast Cancer Treatment Studies (6 papers). Samir Patel collaborates with scholars based in India, United States and Canada. Samir Patel's co-authors include Santosh Kumar Bharti, Devansh Shah, Paawan Sharma, Parita Oza, Martha B. Mainiero, Peter M. Jokich, Mary C. Mahoney, Jennifer A. Harvey, Bruce G. Haffty and David A. Mankoff and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of the Acoustical Society of America and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Samir Patel

79 papers receiving 1.5k citations

Hit Papers

Heart Disease Prediction using Machine Learning Techniques 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samir Patel India 18 447 391 272 253 245 86 1.6k
Joseph R. Ledsam United Kingdom 8 491 1.1× 725 1.9× 122 0.4× 140 0.6× 98 0.4× 14 1.9k
Daniel Truhn Germany 31 898 2.0× 1.3k 3.3× 86 0.3× 192 0.8× 201 0.8× 150 2.9k
Panagiotis Korfiatis United States 25 746 1.7× 1.7k 4.4× 78 0.3× 434 1.7× 340 1.4× 67 3.0k
Narendra N. Khanna India 28 440 1.0× 830 2.1× 147 0.5× 888 3.5× 106 0.4× 116 2.7k
Afshin Mohammadi Iran 24 502 1.1× 1.1k 2.7× 74 0.3× 357 1.4× 92 0.4× 117 2.2k
Zeynettin Akkus United States 21 800 1.8× 1.5k 3.9× 100 0.4× 580 2.3× 123 0.5× 54 3.2k
Christoph Kern Germany 14 449 1.0× 983 2.5× 137 0.5× 120 0.5× 129 0.5× 36 1.8k
Ashirbani Saha Canada 24 890 2.0× 1.3k 3.4× 46 0.2× 230 0.9× 136 0.6× 69 2.3k
Phillip M. Cheng United States 17 379 0.8× 990 2.5× 36 0.1× 308 1.2× 132 0.5× 34 1.7k

Countries citing papers authored by Samir Patel

Since Specialization
Citations

This map shows the geographic impact of Samir Patel'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 Samir Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Patel more than expected).

Fields of papers citing papers by Samir Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samir Patel. 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 Samir Patel. The network helps show where Samir Patel may publish in the future.

Co-authorship network of co-authors of Samir Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Samir Patel. A scholar is included among the top collaborators of Samir Patel 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 Samir Patel. Samir Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patel, Sagar A., et al.. (2025). A systematic study on PM2.5 and PM10 concentration prediction in air pollution using machine learning and deep learning model. Environmental Chemistry and Ecotoxicology. 7. 1401–1415. 1 indexed citations
2.
Patel, Samir, et al.. (2025). Data-Driven Decision Support by Utilizing Machine Learning to Predict Passenger Flow for Route and Station Optimization. Journal of The Institution of Engineers (India) Series B. 107(1). 1–20.
4.
Kothadiya, Deep, et al.. (2023). Enhancing Fingerprint Liveness Detection Accuracy Using Deep Learning: A Comprehensive Study and Novel Approach. Journal of Imaging. 9(8). 158–158. 12 indexed citations
5.
Patel, Samir, et al.. (2023). Forward kinematics of a cable-driven parallel robot with pose estimation error covariance bounds. Mechanism and Machine Theory. 183. 105231–105231. 7 indexed citations
6.
Afshar, Kamyar, Jessica Pham, Samir Patel, et al.. (2023). Rapid Low-ischemic Time Lung Explant Tissue Collection at the University of California San Diego. A2271–A2271. 1 indexed citations
7.
Oza, Parita, Paawan Sharma, & Samir Patel. (2023). Breast lesion classification from mammograms using deep neural network and test-time augmentation. Neural Computing and Applications. 36(4). 2101–2117. 12 indexed citations
8.
Muller, Matthew, Allison McGeer, Jerome A. Leis, et al.. (2022). Environmental Surface Contamination With Monkeypox Virus in the Ambulatory Setting in Toronto, Canada. Open Forum Infectious Diseases. 10(2). ofac648–ofac648. 4 indexed citations
9.
Patel, Samir, et al.. (2022). Cardio-Vascular Risk Detection System using different Machine Learning Techniques. 1–6. 2 indexed citations
10.
Shah, Shrey, et al.. (2022). Sentiment Analysis of Twitter Feeds Using Flask Environment: A Superior Application of Data Analysis. Annals of Data Science. 11(1). 159–180. 8 indexed citations
11.
Berry, Isha, Kevin A. Brown, Sarah A. Buchan, et al.. (2022). A better normal in Canada will need a better detection system for emerging and re-emerging respiratory pathogens. Canadian Medical Association Journal. 194(36). E1250–E1254. 3 indexed citations
12.
13.
Itri, Jason N., Kesav Raghavan, Samir Patel, et al.. (2018). Developing Quality Measures for Diagnostic Radiologists: Part 1. Journal of the American College of Radiology. 15(10). 1362–1365. 6 indexed citations
14.
Patel, Samir. (2018). Estimated Mortality of Breast Cancer Patients Based on Stage at Diagnosis and National Screening Guideline Categorization. Journal of the American College of Radiology. 15(9). 1206–1213. 3 indexed citations
15.
Thariat, Juliette, Terence T. Sio, Pierre Blanchard, et al.. (2017). Using Proton Beam Therapy in the Elderly Population: A Snapshot of Current Perception and Practice. International Journal of Radiation Oncology*Biology*Physics. 98(4). 840–842. 3 indexed citations
16.
Harvey, Jennifer A., Mary C. Mahoney, Mary S. Newell, et al.. (2016). ACR Appropriateness Criteria Palpable Breast Masses. Journal of the American College of Radiology. 13(11). e31–e42. 24 indexed citations
17.
Patel, Samir, et al.. (2016). Implementing a Community Hospital Lung Cancer Screening Program: A Multidisciplinary Program and a Standardized Reporting System. Journal of the American College of Radiology. 13(2). R14–R17. 3 indexed citations
18.
Patel, Samir, et al.. (2014). Implementing a Community Hospital Lung Cancer Screening Program: A Multidisciplinary Program and a Standardized Reporting System. Journal of the American College of Radiology. 11(5). 527–530. 7 indexed citations
19.
Patel, Samir, et al.. (2012). Ka and Ku operational considerations for military SATCOM applications. 1–7. 11 indexed citations
20.
Huynh, Phan T., Mary C. Mahoney, Mary S. Newell, et al.. (2012). ACR Appropriateness Criteria® Stage I Breast Carcinoma. Journal of the American College of Radiology. 9(7). 463–467. 4 indexed citations

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.

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