Sreyankar Nandy

84 total papers · 741 total citations
40 papers, 506 citations indexed

About

Sreyankar Nandy is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Sreyankar Nandy has authored 40 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 13 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Mechanics of Materials. Recurrent topics in Sreyankar Nandy's work include Photoacoustic and Ultrasonic Imaging (28 papers), Optical Coherence Tomography Applications (14 papers) and Ultrasound and Hyperthermia Applications (9 papers). Sreyankar Nandy is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (28 papers), Optical Coherence Tomography Applications (14 papers) and Ultrasound and Hyperthermia Applications (9 papers). Sreyankar Nandy collaborates with scholars based in United States, India and Russia. Sreyankar Nandy's co-authors include Quing Zhu, Atahar Mostafa, Patrick D. Kumavor, Melinda Sanders, Hassan Salehi, Tianheng Wang, Cary Siegel, William C. Chapman, Guang Yang and Matthew G. Mutch and has published in prestigious journals such as Applied Physics Letters, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Sreyankar Nandy

35 papers receiving 490 citations

Author Peers

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

Author Last Decade Papers Cites
Sreyankar Nandy 423 235 126 51 42 40 506
Jaesok Yu 394 0.9× 211 0.9× 53 0.4× 10 0.2× 42 1.0× 33 591
Haigang Ma 354 0.8× 152 0.6× 227 1.8× 28 0.5× 12 0.3× 30 451
James P. Blue 379 0.9× 299 1.3× 120 1.0× 22 0.4× 55 1.3× 19 556
Song Xu 288 0.7× 93 0.4× 148 1.2× 8 0.2× 61 1.5× 42 574
Justine Robin 363 0.9× 275 1.2× 75 0.6× 24 0.5× 22 0.5× 22 455
Zilin Deng 245 0.6× 357 1.5× 72 0.6× 27 0.5× 48 1.1× 31 573
Prakash N. Shrivastava 377 0.9× 257 1.1× 27 0.2× 28 0.5× 97 2.3× 37 615
Guillermo Márquez 256 0.6× 308 1.3× 18 0.1× 84 1.6× 80 1.9× 23 524
Dominik Soliman 574 1.4× 288 1.2× 253 2.0× 42 0.8× 21 0.5× 22 615
Yasser H. El-Sharkawy 208 0.5× 241 1.0× 57 0.5× 115 2.3× 33 0.8× 66 509

Countries citing papers authored by Sreyankar Nandy

Since Specialization
Citations

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

Fields of papers citing papers by Sreyankar Nandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sreyankar Nandy

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

All Works

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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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