Lavanya Sharan

14 total papers · 1.5k total citations
11 papers, 1.1k citations indexed

About

Lavanya Sharan is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Lavanya Sharan has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Cognitive Neuroscience. Recurrent topics in Lavanya Sharan's work include Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Color Science and Applications (2 papers). Lavanya Sharan is often cited by papers focused on Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Color Science and Applications (2 papers). Lavanya Sharan collaborates with scholars based in United States, Japan and India. Lavanya Sharan's co-authors include Edward H. Adelson, Shin’ya Nishida, Isamu Motoyoshi, Yuanzhen Li, Ruth Rosenholtz, Ce Liu, Yuanzhen Li, Sarit Mukherjee, Jessica K. Hodgins and Holly Rushmeier and has published in prestigious journals such as Nature, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Lavanya Sharan

11 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Lavanya Sharan 604 405 255 168 140 11 1.1k
Boaz J. Super 697 1.2× 499 1.2× 172 0.7× 63 0.4× 93 0.7× 32 1.2k
Tomihisa F. Welsh 810 1.3× 492 1.2× 159 0.6× 60 0.4× 190 1.4× 8 1.5k
Christina A. Burbeck 313 0.5× 666 1.6× 181 0.7× 85 0.5× 104 0.7× 28 951
Jozef Cohen 334 0.6× 356 0.9× 608 2.4× 275 1.6× 98 0.7× 13 921
Hans Brettel 391 0.6× 549 1.4× 428 1.7× 177 1.1× 94 0.7× 45 1.0k
Gaetano Kanizsa 294 0.5× 974 2.4× 130 0.5× 240 1.4× 53 0.4× 17 1.3k
María Vanrell 927 1.5× 176 0.4× 165 0.6× 120 0.7× 201 1.4× 54 1.2k
T. Troscianko 332 0.5× 564 1.4× 174 0.7× 175 1.0× 91 0.7× 37 939
Garrett Johnson 803 1.3× 152 0.4× 538 2.1× 115 0.7× 238 1.7× 46 1.1k
Isamu Motoyoshi 295 0.5× 921 2.3× 384 1.5× 322 1.9× 46 0.3× 70 1.2k

Countries citing papers authored by Lavanya Sharan

Since Specialization
Citations

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

Fields of papers citing papers by Lavanya Sharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lavanya Sharan

This figure shows the co-authorship network connecting the top 25 collaborators of Lavanya Sharan. A scholar is included among the top collaborators of Lavanya Sharan 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 Lavanya Sharan. Lavanya Sharan 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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