Priti Shankar
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- Y. N. SrikantJaya PrakashAditya V. NoriB. Sundar RajanAmitava DasguptaY.V. VenkateshKaustubh DeshmukhL. Sunil Chandran
- Topics
- Algorithms and Data Compression (12 papers)Coding theory and cryptography (9 papers)Error Correcting Code Techniques (8 papers)
- Journals
- IEEE Transactions on Information TheoryInformation SciencesIEEE Transactions on Software Engineering
- Partner nations
- IndiaUnited States
In The Last Decade
Priti Shankar
36 papers receiving 313 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 192
- Computer Networks and Communications 140
- Electrical and Electronic Engineering 137
- Hardware and Architecture 104
- Computational Theory and Mathematics 62
Countries citing papers authored by Priti Shankar
This map shows the geographic impact of Priti Shankar'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 Priti Shankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priti Shankar more than expected).
Fields of papers citing papers by Priti Shankar
This network shows the impact of papers produced by Priti Shankar. 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 Priti Shankar. The network helps show where Priti Shankar may publish in the future.
Co-authorship network of co-authors of Priti Shankar
This figure shows the co-authorship network connecting the top 25 collaborators of Priti Shankar. A scholar is included among the top collaborators of Priti Shankar 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 Priti Shankar. Priti Shankar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 33 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | Tail-biting Trellises for Linear Codes and their Duals | 0 |
| 9 | Codes and decoding on graphs | 3 |
| 10 | 9 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | O(log(n)) parallel parsing of a subclass of LL(1) languages | 1 |
| 19 | 4 | |
| 20 | 2 |
About Priti Shankar
Priti Shankar is a scholar working on Hardware and Architecture, Software and Artificial Intelligence, having authored 38 papers that have together received 353 indexed citations. Recurring topics across this work include Algorithms and Data Compression (12 papers), Coding theory and cryptography (9 papers) and Error Correcting Code Techniques (8 papers). The work is most often cited by research in Hardware and Architecture (104 citations), Software (32 citations) and Computer Networks and Communications (140 citations). Priti Shankar has collaborated with scholars based in India and United States. Frequent co-authors include Y. N. Srikant, Jaya Prakash, Aditya V. Nori, B. Sundar Rajan, Amitava Dasgupta, Y.V. Venkatesh, Kaustubh Deshmukh, L. Sunil Chandran, V. Rajaraman and Aditya Nori. Their work appears in journals such as IEEE Transactions on Information Theory, Information Sciences and IEEE Transactions on Software Engineering.
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.