Bhargava Reddy

401 total citations
12 papers, 230 citations indexed

About

Bhargava Reddy is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics. According to data from OpenAlex, Bhargava Reddy has authored 12 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Health Informatics. Recurrent topics in Bhargava Reddy's work include COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Radiology practices and education (5 papers). Bhargava Reddy is often cited by papers focused on COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Radiology practices and education (5 papers). Bhargava Reddy collaborates with scholars based in India, United States and United Kingdom. Bhargava Reddy's co-authors include Ye-Hoon Kim, Chan-Won Seo, Keith J. Dreyer, Subba R. Digumarthy, Mannudeep K. Kalra, Bernardo C. Bizzo, Dhruv Shah, Pooja Rao, Swetha Tanamala and Namita Sinha and has published in prestigious journals such as Diagnostics, JMIR Formative Research and European Journal of Radiology Open.

In The Last Decade

Bhargava Reddy

10 papers receiving 215 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bhargava Reddy	125	52	51	46	39	12	230
Caio Bezerra Souto Maior	112 0.9×	50 1.0×	18 0.4×	36 0.8×	49 1.3×	32	304
Theekapun Charoenpong	48 0.4×	18 0.3×	142 2.8×	19 0.4×	16 0.4×	57	293
Jonghyun Ryu	60 0.5×	55 1.1×	53 1.0×	23 0.5×	42 1.1×	21	309
Ziliang Ren	68 0.5×	12 0.2×	226 4.4×	6 0.1×	29 0.7×	37	344
Vishal Chudasama	59 0.5×	22 0.4×	211 4.1×	7 0.2×	16 0.4×	23	325
Dongkoo Shon	46 0.4×	65 1.3×	16 0.3×	6 0.1×	7 0.2×	12	287
Hamidur Rahman	27 0.2×	3 0.1×	26 0.5×	21 0.5×	42 1.1×	13	232
Haoyu Xu	61 0.5×	23 0.4×	180 3.5×	49 1.1×	3 0.1×	10	299
Donald A. Talleur	38 0.3×	10 0.2×	35 0.7×	5 0.1×	320 8.2×	18	478

Countries citing papers authored by Bhargava Reddy

Since Specialization

Citations

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

Fields of papers citing papers by Bhargava Reddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhargava Reddy

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

All Works

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12 of 12 papers shown

Rao, C. N. R., et al.. (2025). Empowering Food Safety with Blockchain: A new Era of Organic Food Supply Chain Management. 1–5.

Reddy, Bhargava, et al.. (2024). Comparing deep learning models for tuberculosis detection: A retrospective study of digital vs. analog chest radiographs. Indian Journal of Tuberculosis. 72. S43–S46. 3 indexed citations

Reddy, Bhargava, et al.. (2024). Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates. European Journal of Radiology Open. 13. 100606–100606.

Reddy, Bhargava, et al.. (2024). Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study. JMIR Formative Research. 8. e55641–e55641. 2 indexed citations

Das, Neelanjan, et al.. (2023). Using Artificial Intelligence to Stratify Normal versus Abnormal Chest X-rays: External Validation of a Deep Learning Algorithm at East Kent Hospitals University NHS Foundation Trust. Diagnostics. 13(22). 3408–3408. 7 indexed citations

Kumar, Amrita, et al.. (2023). Accuracy of an artificial intelligence-enabled diagnostic assistance device in recognizing normal chest radiographs: a service evaluation. BJR|Open. 6(1). tzae029–tzae029. 2 indexed citations

Kalra, Mannudeep K., Subba R. Digumarthy, Vidur Mahajan, et al.. (2022). Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings. Diagnostics. 12(10). 2382–2382. 6 indexed citations

Tanamala, Swetha, et al.. (2022). Role of an Automated Deep Learning Algorithm for Reliable Screening of Abnormality in Chest Radiographs: A Prospective Multicenter Quality Improvement Study. Diagnostics. 12(11). 2724–2724. 14 indexed citations

Digumarthy, Subba R., Bernardo C. Bizzo, Bhargava Reddy, et al.. (2022). Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study. Diagnostics. 12(9). 2086–2086. 13 indexed citations

10.

Reddy, Bhargava, et al.. (2019). Fusion of MRI and PET Images Using Deep Learning Neural Networks. 283–287. 4 indexed citations

11.

Reddy, Bhargava, et al.. (2018). Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 2.3 Million X-Rays. arXiv (Cornell University). 7 indexed citations

12.

Reddy, Bhargava, et al.. (2017). Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks. 438–445. 172 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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