Siri Krishan Wasan
- Artificial Intelligence top 10%
- Health Information Management top 1%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Co-authors
- Harleen KaurVasudha BhatnagarAnita GoelMansaf AlamS. K. GuptaBal Kishan DassRichard A. Games
- Topics
- Coding theory and cryptography (8 papers)Error Correcting Code Techniques (4 papers)Data Mining Algorithms and Applications (4 papers)
- Journals
- IEEE Transactions on Information TheoryKnowledge and Information SystemsJournal of Combinatorial Theory Series A
- Partner nations
- IndiaUnited States
In The Last Decade
Siri Krishan Wasan
17 papers receiving 237 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 170
- Health Information Management 118
- Information Systems 84
- Electrical and Electronic Engineering 38
- Computational Theory and Mathematics 34
Countries citing papers authored by Siri Krishan Wasan
This map shows the geographic impact of Siri Krishan Wasan'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 Siri Krishan Wasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siri Krishan Wasan more than expected).
Fields of papers citing papers by Siri Krishan Wasan
This network shows the impact of papers produced by Siri Krishan Wasan. 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 Siri Krishan Wasan. The network helps show where Siri Krishan Wasan may publish in the future.
Co-authorship network of co-authors of Siri Krishan Wasan
This figure shows the co-authorship network connecting the top 25 collaborators of Siri Krishan Wasan. A scholar is included among the top collaborators of Siri Krishan Wasan 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 Siri Krishan Wasan. Siri Krishan Wasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Comparative Analysis of k-mean Based Algorithms | 8 |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 31 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 57 | |
| 10 | 138 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | 1 |
About Siri Krishan Wasan
Siri Krishan Wasan is a scholar working on Software, Artificial Intelligence and Health Information Management, having authored 18 papers that have together received 287 indexed citations. Recurring topics across this work include Coding theory and cryptography (8 papers), Error Correcting Code Techniques (4 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Health Information Management (118 citations), Artificial Intelligence (170 citations) and Information Systems (84 citations). Siri Krishan Wasan has collaborated with scholars based in India and United States. Frequent co-authors include Harleen Kaur, Vasudha Bhatnagar, Anita Goel, Mansaf Alam, S. K. Gupta, Bal Kishan Dass and Richard A. Games. Their work appears in journals such as IEEE Transactions on Information Theory, Knowledge and Information Systems and Journal of Combinatorial Theory Series A.
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.