Mrinalini Bhagawati

935 total citations · 1 hit paper
9 papers, 219 citations indexed

About

Mrinalini Bhagawati is a scholar working on Health Information Management, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mrinalini Bhagawati has authored 9 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health Information Management, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mrinalini Bhagawati's work include Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Mrinalini Bhagawati is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Mrinalini Bhagawati collaborates with scholars based in India, Italy and United States. Mrinalini Bhagawati's co-authors include Sudip Paul, Ajaya Jang Kunwar, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep Kalra, Kosmas I. Paraskevas, Jasjit S. Suri, George D. Kitas and Aditya Sharma and has published in prestigious journals such as IEEE Access, Oxidative Medicine and Cellular Longevity and Computers in Biology and Medicine.

In The Last Decade

Mrinalini Bhagawati

8 papers receiving 211 citations

Hit Papers

align trajectories

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.

A Review on Recent Advances of Cerebral Palsy

2022 80 citations Sudip Paul, Mrinalini Bhagawati et al. Oxidative Medicine and Cellular Longevity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mrinalini Bhagawati India	6	62	50	45	40	29	9	219
Zvi Segal Israel	10	53 0.9×	23 0.5×	16 0.4×	35 0.9×	12 0.4×	28	300
Sungtae An United States	9	54 0.9×	16 0.3×	22 0.5×	45 1.1×	48 1.7×	19	220
Dougho Park South Korea	9	24 0.4×	54 1.1×	7 0.2×	23 0.6×	19 0.7×	44	229
William Yuan United States	5	14 0.2×	29 0.6×	17 0.4×	47 1.2×	15 0.5×	6	337
Liangliang He China	11	68 1.1×	59 1.2×	17 0.4×	41 1.0×	17 0.6×	42	397
Zhi Dou China	8	36 0.6×	50 1.0×	20 0.4×	41 1.0×	10 0.3×	18	233
Alexis Mitelpunkt Israel	12	80 1.3×	16 0.3×	67 1.5×	35 0.9×	4 0.1×	30	328
Zhuang Tong China	10	15 0.2×	21 0.4×	7 0.2×	23 0.6×	88 3.0×	23	262
David Ben‐Israel Canada	6	5 0.1×	51 1.0×	10 0.2×	53 1.3×	12 0.4×	15	230
Stefan Winzeck United Kingdom	11	15 0.2×	147 2.9×	12 0.3×	37 0.9×	11 0.4×	22	393

Countries citing papers authored by Mrinalini Bhagawati

Since Specialization

Citations

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

Fields of papers citing papers by Mrinalini Bhagawati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mrinalini Bhagawati

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Shrimankar, Deepti D., Mahesh Maindarkar, Mrinalini Bhagawati, et al.. (2025). Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey. Rheumatology International. 45(1). 14–14. 1 indexed citations

2.

Bhagawati, Mrinalini, Mahesh Maindarkar, Sudip Paul, et al.. (2025). Transformer and Attention-Based Architectures for Segmentation of Coronary Arterial Walls in Intravascular Ultrasound: A Narrative Review. Diagnostics. 15(7). 848–848. 2 indexed citations

3.

Bhagawati, Mrinalini & Sudip Paul. (2024). Generative Adversarial Network-based Deep Learning Framework for Cardiovascular Disease Risk Prediction. 1–4.

4.

Bhagawati, Mrinalini, Sudip Paul, Laura E. Mantella, et al.. (2024). Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data. Diagnostics. 14(17). 1894–1894. 5 indexed citations

5.

Kumar, Ashish, Suneet Kumar Gupta, Mrinalini Bhagawati, et al.. (2023). Artificial intelligence bias in medical system designs: a systematic review. Multimedia Tools and Applications. 83(6). 18005–18057. 18 indexed citations

6.

Suri, Jasjit S., Mrinalini Bhagawati, Sudip Paul, et al.. (2022). A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review. Diagnostics. 12(3). 722–722. 27 indexed citations

7.

Suri, Jasjit S., Mrinalini Bhagawati, Sushant Agarwal, et al.. (2022). UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. IEEE Access. 11. 595–645. 39 indexed citations

8.

Paul, Sudip, et al.. (2022). A Review on Recent Advances of Cerebral Palsy. Oxidative Medicine and Cellular Longevity. 2022(1). 2622310–2622310. 80 indexed citations breakdown →

9.

Suri, Jasjit S., Mrinalini Bhagawati, Sudip Paul, et al.. (2022). Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Computers in Biology and Medicine. 142. 105204–105204. 47 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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