Ashutosh Aggarwal

669 citations
35 papers · 469 indexed · h-index 11
Topics
Image Retrieval and Classification Techniques (11 papers)Advanced Image and Video Retrieval Techniques (8 papers)Image and Signal Denoising Methods (6 papers)
Partner nations
IndiaPolandTürkiye

In The Last Decade

Ashutosh Aggarwal

32 papers receiving 445 citations

Peers

Ashutosh Aggarwal
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 267
  • Artificial Intelligence 153
  • Radiology, Nuclear Medicine and Imaging 70
  • Media Technology 58
  • Computer Networks and Communications 30
Replace Shailendra Tiwari with:
Shailendra Tiwari India
Aristotelis-Angelos Papadopoulos Greece
Juan-Carlos Pérez-Cortés Spain
Shoaib Azmat Pakistan
Yifan Wu China
Tapas Si India
J. Dheeba India
Yousef Alhwaiti Saudi Arabia
Sonali Dash India
Yun Wu China
Ashutosh Aggarwal relative to Shailendra Tiwari India Shailendra Tiwari's profile →
Citations per field
00.5×2.9×
Shailendra Tiwari · 1×
Citations per year

Countries citing papers authored by Ashutosh Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashutosh Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Ashutosh Aggarwal. A scholar is included among the top collaborators of Ashutosh Aggarwal 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 Ashutosh Aggarwal. Ashutosh Aggarwal 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
#WorkIndexed citations
1 0
2 6
3 24
4 1
5 0
6 1
7 9
8 13
9 133
10 32
11 4
12 0
13 54
14 4
15 9
16 39
17 4
18 11
19 19
20
Optimizing DNS-SD query using TXT records
1

About Ashutosh Aggarwal

Ashutosh Aggarwal is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Automotive Engineering, having authored 35 papers that have together received 469 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (267 citations), Media Technology (58 citations) and Health Information Management (26 citations). Ashutosh Aggarwal has collaborated with scholars based in India, Poland and Türkiye. Frequent co-authors include Rupali Bhardwaj, Karamjeet Singh, Bhisham Sharma, Chandan Singh, Harpreet Singh, Robertas Damaševičius, Mazin Abed Mohammed, Seifedine Kadry, Korhan Cengiz and Shailendra Tiwari. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Pattern Recognition Letters.

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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