Aditya Mavlankar

618 total citations
28 papers, 431 citations indexed

About

Aditya Mavlankar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Aditya Mavlankar has authored 28 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Aditya Mavlankar's work include Image and Video Quality Assessment (14 papers), Video Coding and Compression Technologies (12 papers) and Peer-to-Peer Network Technologies (11 papers). Aditya Mavlankar is often cited by papers focused on Image and Video Quality Assessment (14 papers), Video Coding and Compression Technologies (12 papers) and Peer-to-Peer Network Technologies (11 papers). Aditya Mavlankar collaborates with scholars based in United States, Germany and United Kingdom. Aditya Mavlankar's co-authors include Bernd Girod, Markus Flierl, Pierpaolo Baccichet, David Varodayan, Anne Aaron, Jan De Cock, Anush K. Moorthy, Jatinder Singh, Sachin Agarwal and Sherif Halawa and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Aditya Mavlankar

28 papers receiving 392 citations

Peers

Aditya Mavlankar
Comparison fields: 5 of 31
  • Computer Vision and Pattern Recognition 359
  • Signal Processing 239
  • Computer Networks and Communications 129
  • Sociology and Political Science 79
  • Electrical and Electronic Engineering 47
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Citations per field, relative to Aditya Mavlankar
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Citations per year, relative to Aditya Mavlankar
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Countries citing papers authored by Aditya Mavlankar

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Mavlankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Mavlankar

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Mavlankar. A scholar is included among the top collaborators of Aditya Mavlankar 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 Aditya Mavlankar. Aditya Mavlankar 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 2
2 12
3 35
4 14
5 8
6 8
7 22
8 5
9 7
10 5
11 27
12 4
13 24
14 66
15 31
16 26
17 15
18
Motion and Disparity Compensated Coding for Video Camera Arrays
7
19 3
20
Distortion Prediction For Motion-Compensated Lifted Haar Wavelet Transform and its application to Rate Allocation
9

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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