Supriti Mulay

420 total citations
2 papers, 28 citations indexed

About

Supriti Mulay is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Supriti Mulay has authored 2 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Supriti Mulay's work include Retinal Imaging and Analysis (1 paper), Advanced Neural Network Applications (1 paper) and Neonatal and fetal brain pathology (1 paper). Supriti Mulay is often cited by papers focused on Retinal Imaging and Analysis (1 paper), Advanced Neural Network Applications (1 paper) and Neonatal and fetal brain pathology (1 paper). Supriti Mulay collaborates with scholars based in India. Supriti Mulay's co-authors include Anand Vinekar, Mohanasankar Sivaprakasam and Keerthi Ram and has published in prestigious journals such as Applied Intelligence and arXiv (Cornell University).

In The Last Decade

Supriti Mulay

2 papers receiving 28 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Supriti Mulay India	2	20	16	6	6	3	2	28
Chimgee Chuluunkhuu Mongolia	3	15 0.8×	13 0.8×	9 1.5×	1 0.2×		5	18
Pollieanna Sepulveda United States	3	3 0.1×	17 1.1×	6 1.0×	2 0.3×		4	20
Phanthipha Wongwai Thailand	4	15 0.8×	5 0.3×	5 0.8×			10	36
Neil Cockburn Canada	3	8 0.4×	4 0.3×	3 0.5×	2 0.3×		4	24
R. An China	3	17 0.8×		7 1.2×	5 0.8×	9 3.0×	5	23
Ghazi Hmeydia France	4	17 0.8×		4 0.7×	5 0.8×	5 1.7×	8	33
Jeni Kwok United States	3	6 0.3×	2 0.1×	20 3.3×	8 1.3×		3	30
Gil Raff United States	2	5 0.3×	4 0.3×		3 0.5×		3	11
Ruhai Zhou China	3	20 1.0×		6 1.0×	18 3.0×	1 0.3×	4	29
Dipti Chand India	2	8 0.4×	3 0.2×	5 0.8×	1 0.2×		4	29

Countries citing papers authored by Supriti Mulay

Since Specialization

Citations

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

Fields of papers citing papers by Supriti Mulay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriti Mulay

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

All Works

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2 of 2 papers shown

1.

Mulay, Supriti, Keerthi Ram, & Mohanasankar Sivaprakasam. (2023). Attention adaptive instance normalization style transfer for vascular segmentation using deep learning. Applied Intelligence. 53(24). 29638–29655. 1 indexed citations

2.

Mulay, Supriti, Keerthi Ram, Mohanasankar Sivaprakasam, & Anand Vinekar. (2019). Early detection of retinopathy of prematurity stage using deep learning approach. arXiv (Cornell University). 107–107. 27 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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