Ashutosh Aggarwal

669 total citations
35 papers, 469 citations indexed

About

Ashutosh Aggarwal is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Ashutosh Aggarwal has authored 35 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 6 papers in Electrical and Electronic Engineering and 5 papers in Media Technology. Recurrent topics in Ashutosh Aggarwal's 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). Ashutosh Aggarwal is often cited by papers focused on Image Retrieval and Classification Techniques (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Signal Denoising Methods (6 papers). Ashutosh Aggarwal collaborates with scholars based in India, Poland and Türkiye. Ashutosh Aggarwal's 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 and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Pattern Recognition Letters.

In The Last Decade

Ashutosh Aggarwal

32 papers receiving 445 citations

Peers

Ashutosh Aggarwal

CVPR

RNMI

CNC

Shailendra Tiwari India

Sonali Dash India

Annapurna Singh India

Amir Hanif Dar Pakistan

Tapas Si India

Yousef Alhwaiti Saudi Arabia

Suvendu Rup India

Eid Rehman Pakistan

Pakize Erdoğmuş Türkiye

Shailendra Tiwari India

Ashutosh Aggarwal

150 ×0.6

CVPR

131 ×0.9

119 ×1.7

RNMI

35 ×0.6

26 ×0.9

CNC

Citations per year, relative to Ashutosh Aggarwal Ashutosh Aggarwal (= 1×) peers Shailendra Tiwari

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

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20 of 20 papers shown

Bedi, Jatin, et al.. (2025). Privacy preserving and computationally efficient federated learning approach for household load estimation. Sustainable Energy Grids and Networks. 44. 102021–102021.

Goyal, Neeraj Kumar, et al.. (2024). Dual-channel Rybak neural network based medical image fusion. Optics & Laser Technology. 181. 112018–112018. 6 indexed citations

Anand, Ashima, Jatin Bedi, Ashutosh Aggarwal, Muhammad Attique Khan, & Imad Rida. (2024). Authenticating and securing healthcare records: A deep learning-based zero watermarking approach. Image and Vision Computing. 145. 104975–104975. 24 indexed citations

Aggarwal, Ashutosh, et al.. (2024). A New Approach for Effective Retrieval of Medical Images: A Step towards Computer-Assisted Diagnosis. Journal of Imaging. 10(9). 210–210. 1 indexed citations

Mishra, Ashutosh, et al.. (2024). Investigating the impact of logical reasoning in honing code comprehension skills: An empirical analysis. 35–41.

Saini, Munish, et al.. (2023). An intelligent machine learning-enabled cattle reclining risk mitigation technique using surveillance videos. Neural Computing and Applications. 36(4). 2029–2047. 1 indexed citations

Kumar, Ravinder, et al.. (2023). A meta-heuristic-based energy efficient route modeling for EVs integrating start/stop and recapturing energy effect. Sustainable Cities and Society. 91. 104420–104420. 9 indexed citations

Bhardwaj, Rupali & Ashutosh Aggarwal. (2021). An enhanced separable reversible and secure patient data hiding algorithm for telemedicine applications. Expert Systems with Applications. 186. 115721–115721. 13 indexed citations

Singh, Harpreet, Ashutosh Aggarwal, Bhisham Sharma, et al.. (2021). Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine. Diagnostics. 11(2). 241–241. 133 indexed citations

10.

Singh, Karamjeet, Bhisham Sharma, Jaiteg Singh, et al.. (2020). Local Statistics-based Speckle Reducing Bilateral Filter for Medical Ultrasound Images. Mobile Networks and Applications. 25(6). 2367–2389. 32 indexed citations

11.

Bhardwaj, Rupali & Ashutosh Aggarwal. (2020). Hiding clinical information in medical images: an enhanced encrypted reversible data hiding algorithm grounded on hierarchical absolute moment block truncation coding. Multidimensional Systems and Signal Processing. 31(3). 1051–1074. 4 indexed citations

12.

Aggarwal, Ashutosh, et al.. (2019). 3D Motion Trajectories Recognition using Optimal Set of Geometric Primitives, Angular and Statistical Features. International Journal of Innovative Technology and Exploring Engineering. 9(2). 2972–2979.

13.

Bhardwaj, Rupali & Ashutosh Aggarwal. (2018). An improved block based joint reversible data hiding in encrypted images by symmetric cryptosystem. Pattern Recognition Letters. 139. 60–68. 54 indexed citations

14.

Aggarwal, Ashutosh, et al.. (2018). Content-based retrieval of biomedical images using orthogonal Fourier-Mellin moments. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 7(3). 286–296. 4 indexed citations

15.

Singh, Chandan & Ashutosh Aggarwal. (2017). Single-image super-resolution using orthogonal rotation invariant moments. Computers & Electrical Engineering. 62. 266–280. 9 indexed citations

16.

Kumar, Yogesh, Ashutosh Aggarwal, Shailendra Tiwari, & Karamjeet Singh. (2017). An efficient and robust approach for biomedical image retrieval using Zernike moments. Biomedical Signal Processing and Control. 39. 459–473. 39 indexed citations

17.

Singh, Chandan, et al.. (2016). A new convolution model for the fast computation of Zernike moments. AEU - International Journal of Electronics and Communications. 72. 104–113. 4 indexed citations

18.

Aggarwal, Ashutosh & Chandan Singh. (2016). Zernike Moments-Based Gurumukhi Character Recognition. Applied Artificial Intelligence. 30(5). 429–444. 11 indexed citations

19.

Aggarwal, Ashutosh, et al.. (2015). Use of Gradient Technique for Extracting Features from Handwritten Gurmukhi Characters and Numerals. Procedia Computer Science. 46. 1716–1723. 19 indexed citations

20.

Aggarwal, Ashutosh. (2014). Optimizing DNS-SD query using TXT records. 1 indexed citations

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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