Shankar Subramanian
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Plant Science
- Spectroscopy top 5%
- Pharmacology top 10%
- Co-authors
- Roman EisnerYannick Djoumbou-FeunangEoin FahyRussell GreinerGareth OwenLeonid ChepelevCraig KnoxChristoph Steinbeck
- Topics
- Energy Efficient Wireless Sensor Networks (2 papers)Rough Sets and Fuzzy Logic (1 paper)Distributed Sensor Networks and Detection Algorithms (1 paper)
- Journals
- Journal of CheminformaticsInternational Journal of Communication SystemsInternational Journal of Electronics
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Shankar Subramanian
5 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 562
- Computational Theory and Mathematics 182
- Plant Science 158
- Spectroscopy 150
- Pharmacology 99
Countries citing papers authored by Shankar Subramanian
This map shows the geographic impact of Shankar Subramanian'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 Shankar Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shankar Subramanian more than expected).
Fields of papers citing papers by Shankar Subramanian
This network shows the impact of papers produced by Shankar Subramanian. 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 Shankar Subramanian. The network helps show where Shankar Subramanian may publish in the future.
Co-authorship network of co-authors of Shankar Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Shankar Subramanian. A scholar is included among the top collaborators of Shankar Subramanian 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 Shankar Subramanian. Shankar Subramanian 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 | 4 | |
| 3 | 12 | |
| 4 | ClassyFire: automated chemical classification with a comprehensive, computable taxonomybreakdown → | 1002 |
| 5 | A Novel Approach to Extract High Utility Itemsets from Distributed Databases | 9 |
About Shankar Subramanian
Shankar Subramanian is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Information Systems, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (2 papers), Rough Sets and Fuzzy Logic (1 paper) and Distributed Sensor Networks and Detection Algorithms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (182 citations), Spectroscopy (150 citations) and Molecular Biology (562 citations). Shankar Subramanian has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Roman Eisner, Yannick Djoumbou-Feunang, Eoin Fahy, Russell Greiner, Gareth Owen, Leonid Chepelev, Craig Knox, Christoph Steinbeck, Janna Hastings and David S. Wishart. Their work appears in journals such as Journal of Cheminformatics, International Journal of Communication Systems and International Journal of Electronics.
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.