S. Sandeep Pradhan

111 papers receiving 2.7k citations

Hit Papers

Distributed source coding using syndromes (DISCUS): desig...20032026201020182003200400600

Peers

S. Sandeep Pradhan
Comparison fields: 5 of 72
  • Electrical and Electronic Engineering 2.0k
  • Computer Networks and Communications 1.9k
  • Computer Vision and Pattern Recognition 752
  • Artificial Intelligence 535
  • Molecular Biology 330
Replace Amos Lapidoth with:
Amos Lapidoth Switzerland
C.N. Georghiades United States
H. Yamamoto Japan
Yossef Steinberg Israel
Matthieu R. Bloch United States
Amir K. Khandani Canada
Javier Garcia‐Frias United States
Dennis Goeckel United States
Erik Agrell Sweden
Scott Hauck United States
S. Sandeep Pradhan relative to Amos Lapidoth Switzerland Amos Lapidoth's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Sandeep Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by S. Sandeep Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Sandeep Pradhan. 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 S. Sandeep Pradhan. The network helps show where S. Sandeep Pradhan may publish in the future.

Co-authorship network of co-authors of S. Sandeep Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Sandeep Pradhan. A scholar is included among the top collaborators of S. Sandeep Pradhan 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 S. Sandeep Pradhan. S. Sandeep Pradhan 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
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Directed information for communication problems with common side information and delayed feedback/feedforward
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About S. Sandeep Pradhan

S. Sandeep Pradhan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 121 papers that have together received 2.9k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (76 papers), Cooperative Communication and Network Coding (50 papers) and Error Correcting Code Techniques (26 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Computer Vision and Pattern Recognition (752 citations) and Electrical and Electronic Engineering (2.0k citations). S. Sandeep Pradhan has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Kannan Ramchandran, Julius Kusuma, J. Chou, Rohit Puri, P. Bhattacharya, Siddhartha Sankar Ghosh, Ramji Venkataramanan, Daniel Schonberg, Prakash Ishwar and Ali Nazari. Their work appears in journals such as Nano Letters, Applied Physics Letters and IEEE Transactions on Information Theory.

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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