Rahul Paul

2.7k total citations · 1 hit paper
55 papers, 1.4k citations indexed

About

Rahul Paul is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Rahul Paul has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 15 papers in Artificial Intelligence. Recurrent topics in Rahul Paul's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Lung Cancer Diagnosis and Treatment (11 papers) and AI in cancer detection (10 papers). Rahul Paul is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Lung Cancer Diagnosis and Treatment (11 papers) and AI in cancer detection (10 papers). Rahul Paul collaborates with scholars based in United States, India and United Kingdom. Rahul Paul's co-authors include Robert J. Gillies, Nithesh Naik, Dasharathraj K Shetty, Bhaskar Somani, B. M. Zeeshan Hameed, Matthew B. Schabath, Lawrence Hall, Dmitry B. Goldgof, Vathsala Patil and Komal Smriti and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and IEEE Access.

In The Last Decade

Rahul Paul

48 papers receiving 1.3k citations

Hit Papers

Legal and Ethical Consideration in Artificial Intelligenc... 2022 2026 2023 2024 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?
    2022 480 citations Nithesh Naik, B. M. Zeeshan Hameed et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Paul United States 18 553 402 361 261 167 55 1.4k
Luke Oakden‐Rayner Australia 13 490 0.9× 528 1.3× 551 1.5× 165 0.6× 157 0.9× 18 1.4k
Oleg S. Pianykh United States 17 879 1.6× 378 0.9× 385 1.1× 244 0.9× 323 1.9× 60 1.8k
Gabriella Moraes United Kingdom 12 883 1.6× 481 1.2× 510 1.4× 117 0.4× 158 0.9× 22 1.6k
Vera Sorin Israel 17 564 1.0× 462 1.1× 544 1.5× 219 0.8× 100 0.6× 59 1.2k
John R. Zech United States 12 722 1.3× 618 1.5× 504 1.4× 166 0.6× 217 1.3× 29 1.6k
Seth J. Berkowitz United States 14 705 1.3× 626 1.6× 391 1.1× 162 0.6× 80 0.5× 29 1.4k
Hari Trivedi United States 19 876 1.6× 509 1.3× 534 1.5× 534 2.0× 257 1.5× 68 1.9k
Christoph Kern Germany 14 983 1.8× 449 1.1× 494 1.4× 120 0.5× 158 0.9× 36 1.8k
Mohith Shamdas United Kingdom 6 478 0.9× 368 0.9× 452 1.3× 93 0.4× 130 0.8× 10 1.1k
Daniel Tse United States 6 991 1.8× 476 1.2× 268 0.7× 542 2.1× 196 1.2× 7 1.5k

Countries citing papers authored by Rahul Paul

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Paul. A scholar is included among the top collaborators of Rahul Paul 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 Rahul Paul. Rahul Paul 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.
Paul, Rahul, et al.. (2025). Nickel‐Catalyzed Hydrogenation and Dehydrogenation Processes: A Useful Tool in Organic Synthesis. Asian Journal of Organic Chemistry. 14(9). 1 indexed citations
2.
Ghosh, Tapas, et al.. (2025). Employing Multicomponent Reactions in Heterocycle Synthesis: Recent Advances. European Journal of Organic Chemistry. 28(35). 1 indexed citations
3.
4.
Paul, Rahul, et al.. (2023). Non Extraction Treatment of skeletal Class II using Powerscope: A Case report. 4(2). 12–15. 1 indexed citations
5.
Shetty, Dasharathraj K, B. M. Zeeshan Hameed, Milap Shah, et al.. (2023). Leveraging Hofstede’s Cultural Dimensions for Devising COVID-19 Control Strategies. 2(1). 47–60. 2 indexed citations
6.
7.
Singh, Yashbir, et al.. (2023). To predict the left ventricular endocardial scar tissue pattern using Radon descriptor-based machine learning. BMC Research Notes. 16(1). 2 indexed citations
8.
Paul, Rahul, Jibendu Sekhar Roy, & Kunal Roy. (2023). Prediction of soil ecotoxicity against Folsomia candida using acute and chronic endpoints. SAR and QSAR in environmental research. 34(4). 321–340.
9.
Shah, Milap, Nithesh Naik, B. M. Zeeshan Hameed, et al.. (2022). Current Applications of Artificial Intelligence in Benign Prostatic Hyperplasia. SHILAP Revista de lepidopterología. 48(4). 262–267. 3 indexed citations
10.
Modi, Ankita, Dasharathraj K Shetty, Vijay Prakash Sharma, et al.. (2022). Role of Artificial Intelligence in Detecting Colonic Polyps during Intestinal Endoscopy. Engineered Science. 8 indexed citations
11.
Arias‐Gonzáles, José Luis, et al.. (2022). A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification. Journal of Imaging. 9(1). 10–10. 18 indexed citations
12.
Shetty, Dasharathraj K, Vathsala Patil, B. M. Zeeshan Hameed, et al.. (2022). Demystifying the Advancements of Big Data Analytics in Medical Diagnosis: An Overview. Engineered Science. 10 indexed citations
13.
Subrahmanya, S. V., Dasharathraj K Shetty, Vathsala Patil, et al.. (2021). The role of data science in healthcare advancements: applications, benefits, and future prospects. Irish Journal of Medical Science (1971 -). 191(4). 1473–1483. 91 indexed citations
14.
Goldgof, Gregory M., et al.. (2021). Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. IEEE Access. 9. 72970–72979. 26 indexed citations
15.
Shetty, Shiran, et al.. (2021). Acute-on-Chronic Liver Failure Mortality Prediction using an Artificial Neural Network. Engineered Science. 16 indexed citations
16.
17.
Paul, Rahul, Matthew B. Schabath, Robert J. Gillies, Lawrence Hall, & Dmitry Goldgof. (2020). Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. Computers in Biology and Medicine. 122. 103882–103882. 23 indexed citations
18.
Zamzmi, Ghada, Rahul Paul, Dmitry B. Goldgof, et al.. (2019). Convolutional Neural Networks for Neonatal Pain Assessment. IEEE Transactions on Biometrics Behavior and Identity Science. 1(3). 192–200. 14 indexed citations
19.
Paul, Rahul, Lawrence Hall, Dmitry B. Goldgof, Matthew B. Schabath, & Robert J. Gillies. (2018). Predicting Nodule Malignancy using a CNN Ensemble Approach. PubMed. 2018. 1–8. 36 indexed citations
20.
Kettinger, William J., et al.. (2009). A Three Level Model of SOA Maturity: Toward Achieving Sense and Respond. Journal of the Association for Information Systems. 337. 8 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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