Ajit Rajwade

1.1k total citations
60 papers, 686 citations indexed

About

Ajit Rajwade is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Ajit Rajwade has authored 60 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 27 papers in Computational Mechanics and 17 papers in Biomedical Engineering. Recurrent topics in Ajit Rajwade's work include Sparse and Compressive Sensing Techniques (27 papers), Image and Signal Denoising Methods (14 papers) and Medical Imaging Techniques and Applications (9 papers). Ajit Rajwade is often cited by papers focused on Sparse and Compressive Sensing Techniques (27 papers), Image and Signal Denoising Methods (14 papers) and Medical Imaging Techniques and Applications (9 papers). Ajit Rajwade collaborates with scholars based in India, United States and Canada. Ajit Rajwade's co-authors include Anand Rangarajan, Arunava Banerjee, Suman K. Mitra, David Kittle, Lawrence Carin, David J. Brady, Tsung-Han Tsai, Jeffrey Ho, Mohsen Ali and Martin D. Levine and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Ajit Rajwade

57 papers receiving 667 citations

Peers

Ajit Rajwade
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 416
  • Computational Mechanics 207
  • Media Technology 141
  • Biomedical Engineering 116
  • Artificial Intelligence 87
Replace Xiangyu Chang with:
Xiangyu Chang China
Vincent Duval France
Peter Ochs Germany
Ke Wei China
Mahdi Soltanolkotabi United States
Xiao-Guang Lv China
Guillermo Sapiro United States
Wenjun Zeng Hong Kong
Randy C. Hoover United States
Xiangyu Chang China View profile →
Citations per field, relative to Ajit Rajwade
Ajit Rajwade · 1×
Citations per year, relative to Ajit Rajwade
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Countries citing papers authored by Ajit Rajwade

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Rajwade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Rajwade

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 0
5 1
6 0
7 3
8 5
9 26
10 3
11
A Compressed Sensing Approach to Group-testing for COVID-19 Detection
8
12 8
13 1
14 2
15 278
16 6
17 27
18 26
19 12
20
Using core beliefs for point-based value iteration
4

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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