Tushar Nagarajan

1.7k total citations
18 papers, 471 citations indexed

About

Tushar Nagarajan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Tushar Nagarajan has authored 18 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Tushar Nagarajan's work include Multimodal Machine Learning Applications (5 papers), Video Analysis and Summarization (3 papers) and Human Pose and Action Recognition (3 papers). Tushar Nagarajan is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Video Analysis and Summarization (3 papers) and Human Pose and Action Recognition (3 papers). Tushar Nagarajan collaborates with scholars based in United States, India and South Africa. Tushar Nagarajan's co-authors include Kristen Grauman, Steven J. Rennie, Zuxuan Wu, Abhishek Kumar, Larry S. Davis, Rogério Feris, Deepesh Nagarajan, Nagasuma Chandra, Dipshikha Chakravortty and Yanghao Li and has published in prestigious journals such as Journal of Biological Chemistry, Frontiers in Microbiology and Molecular Pharmaceutics.

In The Last Decade

Tushar Nagarajan

15 papers receiving 458 citations

Peers

Tushar Nagarajan
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 275
  • Artificial Intelligence 185
  • Molecular Biology 111
  • Microbiology 96
  • Electrical and Electronic Engineering 35
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Citations per field, relative to Tushar Nagarajan
Tushar Nagarajan · 1×
Citations per year, relative to Tushar Nagarajan
Tushar Nagarajan · 1×

Countries citing papers authored by Tushar Nagarajan

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Nagarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tushar Nagarajan

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 2
5 1
6 0
7 7
8 2
9 10
10 1
11 14
12 5
13 35
14 7
15 263
16
Attributes as Operators.
7
17 115
18
In vitro Studies and Agrobacterium Mediated Transformation on Solanam nigram L.
1

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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