Haricharan Lakshman

28 papers receiving 1.2k citations

Hit Papers

A Framework to Evaluate Omnidirectional Video Coding Schemes201320262017202120152013100200300

Peers

Haricharan Lakshman
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 1.2k
  • Signal Processing 733
  • Media Technology 185
  • Computer Graphics and Computer-Aided Design 79
  • Sociology and Political Science 44
Replace Mehrdad Panahpour Tehrani with:
Mehrdad Panahpour Tehrani Japan
Christoph Fehn Germany
Marek Domański Poland
Patrick Ndjiki-Nya Germany
Karsten Mueller Germany
Sebastian Knorr Germany
Vittorio Baroncini Italy
Sehoon Yea United States
Jani Lainema Finland
Thomas Maugey France
Haricharan Lakshman relative to Mehrdad Panahpour Tehrani Japan Mehrdad Panahpour Tehrani's profile →
Citations per field
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Mehrdad Panahpour Tehrani · 1×
Citations per year

Countries citing papers authored by Haricharan Lakshman

Since Specialization
Citations

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

Fields of papers citing papers by Haricharan Lakshman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haricharan Lakshman

This figure shows the co-authorship network connecting the top 25 collaborators of Haricharan Lakshman. A scholar is included among the top collaborators of Haricharan Lakshman 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 Haricharan Lakshman. Haricharan Lakshman 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 1
2
A Framework to Evaluate Omnidirectional Video Coding Schemesbreakdown →
330
3 27
4 5
5 7
6
3D High-Efficiency Video Coding for Multi-View Video and Depth Databreakdown →
281
7 37
8 1
9 5
10 153
11 1
12 67
13 6
14 9
15 51
16 18
17 97
18 20
19 2
20 6

About Haricharan Lakshman

Haricharan Lakshman is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), Video Coding and Compression Technologies (18 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Signal Processing (733 citations), Computer Vision and Pattern Recognition (1.2k citations) and Computer Graphics and Computer-Aided Design (79 citations). Haricharan Lakshman has collaborated with scholars based in Germany, United States and Hong Kong. Frequent co-authors include Bernd Girod, Thomas Wiegand, Philipp Merkle, Karsten Müller, Heiko Schwarz, Martin Köppel, Dimitar Doshkov, Detlev Marpe, Tobias Hinz and Patrick Ndjiki-Nya. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

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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