Vidit Nanda

26 papers receiving 507 citations

Peers

Vidit Nanda
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 464
  • Mathematical Physics 198
  • Biophysics 110
  • Discrete Mathematics and Combinatorics 19
  • Radiology, Nuclear Medicine and Imaging 108
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Peter Bubenik United States
Michael Lesnick United States
Barbara Di Fabio Italy
Katharine Turner Australia
Danijela Horak Germany
Paul Bendich United States
Nina Otter United States
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Omer Bobrowski Israel
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Citations per field
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Citations per year

Countries citing papers authored by Vidit Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Vidit Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vidit Nanda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vidit Nanda Line = papers co-authored together Vidit Nanda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013178
2 201494
3 201352
4 201845
5 202332
6 201329
7 201523
8
The Efficiency of a Homology Algorithm based on Discrete Morse Theory and Coreductions
201021
9 201910
10 20227
11 20226
12 20225
13 20174
14 20184
15 20224
16 20173
17 20023
18 20183
19 20133
20 20242

About Vidit Nanda

Vidit Nanda is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Geometry and Topology, Algebra and Number Theory and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 538 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (24 papers), Homotopy and Cohomology in Algebraic Topology (15 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Algebraic structures and combinatorial models (6 papers), Algebraic Geometry and Number Theory (3 papers), Commutative Algebra and Its Applications (2 papers), Rings, Modules, and Algebras (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (464 citations), Mathematical Physics (198 citations), Biophysics (110 citations), Discrete Mathematics and Combinatorics (19 citations) and Radiology, Nuclear Medicine and Imaging (108 citations). Vidit Nanda has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Konstantin Mischaikow, Harald Oberhauser, Marian Mrożek, Yasuaki Hiraoka, Miroslav Kramár, Marcio Gameiro, Shunsuke Izumi, Ilya Chevyrev, Radmila Sazdanović and Justin Michael Curry. Their work appears in journals such as Foundations of Computational Mathematics, SIAM Journal on Applied Algebra and Geometry, Advances in Applied Mathematics, Journal of Pure and Applied Algebra and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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