Vidit Nanda

24 papers receiving 426 citations

Peers

Vidit Nanda
Comparison fields: 5 of 59
  • Computational Theory and Mathematics 398
  • Mathematical Physics 177
  • Biophysics 94
  • Discrete Mathematics and Combinatorics 18
  • Radiology, Nuclear Medicine and Imaging 91
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Peter Bubenik United States
Michael Lesnick United States
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Rocı́o González-Dı́az Spain
Danijela Horak Germany
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013157
2 201479
3 201342
4 201842
5 202324
6
Topological Measurement of Protein Compressibility via Persistence Diagrams
201222
7 201517
8
The Efficiency of a Homology Algorithm based on Discrete Morse Theory and Coreductions
201014
9 20198
10 20225
11 20225
12 20225
13 20224
14 20174
15 20173
16 20123
17 20133
18 20183
19 20182
20 19632

About Vidit Nanda

Vidit Nanda is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Geometry and Topology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 448 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (24 papers), Homotopy and Cohomology in Algebraic Topology (16 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Algebraic structures and combinatorial models (7 papers), Algebraic Geometry and Number Theory (3 papers), Cell Image Analysis Techniques (2 papers), Polynomial and algebraic computation (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (398 citations), Mathematical Physics (177 citations), Biophysics (94 citations), Discrete Mathematics and Combinatorics (18 citations) and Radiology, Nuclear Medicine and Imaging (91 citations). Vidit Nanda has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Konstantin Mischaikow, Shunsuke Izumi, Marcio Gameiro, Miroslav Kramár, Yasuaki Hiraoka, Ilya Chevyrev, Harald Oberhauser, Marian Mrożek, Robert Ghrist and Justin Curry. Their work appears in journals such as Foundations of Computational Mathematics, IEEE Transactions on Pattern Analysis and Machine Intelligence, Advances in Applied Mathematics, Journal of Pure and Applied Algebra and Discrete & Computational Geometry.

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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