Parikshit Ram
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Alexander GrayK. P. SinhaHorst SamulowitzDakuo WangMichael MüllerJustin D. WeiszCasey DuganPhilipp Geyer
- Topics
- Machine Learning and Data Classification (11 papers)Machine Learning and Algorithms (9 papers)Algorithms and Data Compression (9 papers)
- Partner nations
- United StatesIrelandIndia
In The Last Decade
Parikshit Ram
30 papers receiving 617 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 315
- Computer Vision and Pattern Recognition 227
- Information Systems 125
- Signal Processing 105
- Computer Networks and Communications 74
Countries citing papers authored by Parikshit Ram
This map shows the geographic impact of Parikshit Ram'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 Parikshit Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parikshit Ram more than expected).
Fields of papers citing papers by Parikshit Ram
This network shows the impact of papers produced by Parikshit Ram. 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 Parikshit Ram. The network helps show where Parikshit Ram may publish in the future.
Co-authorship network of co-authors of Parikshit Ram
This figure shows the co-authorship network connecting the top 25 collaborators of Parikshit Ram. A scholar is included among the top collaborators of Parikshit Ram 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 Parikshit Ram. Parikshit Ram 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 19 | |
| 12 | 29 | |
| 13 | A Formal Method for AutoML via ADMM | 1 |
| 14 | 76 | |
| 15 | Fraud Detection with Density Estimation Trees | 3 |
| 16 | 77 | |
| 17 | 49 | |
| 18 | 12 | |
| 19 | Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions | 12 |
| 20 | Linear-time Algorithms for Pairwise Statistical Problems | 23 |
About Parikshit Ram
Parikshit Ram is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 34 papers that have together received 663 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (11 papers), Machine Learning and Algorithms (9 papers) and Algorithms and Data Compression (9 papers). The work is most often cited by research in Health Informatics (25 citations), Computer Vision and Pattern Recognition (227 citations) and Artificial Intelligence (315 citations). Parikshit Ram has collaborated with scholars based in United States, Ireland and India. Frequent co-authors include Alexander Gray, K. P. Sinha, Horst Samulowitz, Dakuo Wang, Michael Müller, Justin D. Weisz, Casey Dugan, Philipp Geyer, Yla Tausczik and Ryan R. Curtin. Their work appears in journals such as Machine Learning, Journal of Machine Learning Research and Wireless Networks.
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.