Vinod Nair
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.2%
- Signal Processing top 0.5%
- Media Technology top 0.5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Geoffrey E. HintonRamesh PanchagnulaOmathanu PillaiSundararajan SellamanickamDhruv MahajanJames J. ClarkNakul VermaPoduri Ramarao
- Topics
- Advancements in Transdermal Drug Delivery (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)Domain Adaptation and Few-Shot Learning (4 papers)
- Journals
- International Journal of PharmaceuticsCurrent Opinion in Chemical BiologyPharmacological Research
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Vinod Nair
23 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Computer Vision and Pattern Recognition 3.9k
- Artificial Intelligence 3.2k
- Signal Processing 962
- Media Technology 848
- Electrical and Electronic Engineering 754
Countries citing papers authored by Vinod Nair
This map shows the geographic impact of Vinod Nair'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 Vinod Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinod Nair more than expected).
Fields of papers citing papers by Vinod Nair
This network shows the impact of papers produced by Vinod Nair. 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 Vinod Nair. The network helps show where Vinod Nair may publish in the future.
Co-authorship network of co-authors of Vinod Nair
This figure shows the co-authorship network connecting the top 25 collaborators of Vinod Nair. A scholar is included among the top collaborators of Vinod Nair 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 Vinod Nair. Vinod Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs | 9 |
| 3 | Neural Large Neighborhood Search | 1 |
| 4 | REGAL: Transfer Learning For Fast Optimization of Computation Graphs. | 5 |
| 5 | Learning Fast Optimizers for Contextual Stochastic Integer Programs | 3 |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 52 | |
| 9 | Rectified Linear Units Improve Restricted Boltzmann Machinesbreakdown → | 8997 |
| 10 | 3D Object Recognition with Deep Belief Netsbreakdown → | 209 |
| 11 | Implicit Mixtures of Restricted Boltzmann Machines | 51 |
| 12 | Inferring Motor Programs from Images of Handwritten Digits | 20 |
| 13 | 19 | |
| 14 | 9 | |
| 15 | 79 | |
| 16 | 84 | |
| 17 | 14 | |
| 18 | Automated Visual Surveillance Using Hidden Markov Models | 43 |
| 19 | 50 | |
| 20 | 26 |
About Vinod Nair
Vinod Nair is a scholar working on Pharmaceutical Science, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 23 papers that have together received 9.8k indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Artificial Intelligence (3.2k citations) and Media Technology (848 citations). Vinod Nair has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Geoffrey E. Hinton, Ramesh Panchagnula, Omathanu Pillai, Sundararajan Sellamanickam, Dhruv Mahajan, James J. Clark, Nakul Verma, Poduri Ramarao, Vandana Patravale and Anurag Sood. Their work appears in journals such as International Journal of Pharmaceutics, Current Opinion in Chemical Biology and Pharmacological Research.
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.