Tej Pandit
Impact in
-
- Parallel Computing and Optimization Techniques
-
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
Papers in
-
- Advanced Image and Video Retrieval Techniques 1
- Advanced Vision and Imaging 1
-
- Model Reduction and Neural Networks 2
- Co-authors
- Dhireesha Kudithipudi (4 shared papers)John L. Gustafson (1 shared paper)Girish Galgali (1 shared paper)
- Journals
- SHILAP Revista de lepidopterología (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Tej Pandit
5 papers receiving 21 citations
Peers
Comparison fields: 5 of 19
- Hardware and Architecture 4
- Artificial Intelligence 9
- Computer Vision and Pattern Recognition 5
- Electrical and Electronic Engineering 11
- Computational Theory and Mathematics 3
Countries citing papers authored by Tej Pandit
This map shows the geographic impact of Tej Pandit'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 Tej Pandit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tej Pandit more than expected).
Fields of papers citing papers by Tej Pandit
This network shows the impact of papers produced by Tej Pandit. 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 Tej Pandit. The network helps show where Tej Pandit may publish in the future.
Co-authors
The 3 scholars most cited alongside Tej Pandit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 8 | |
| 2 | 2020 | 6 | |
| 3 | 2019 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2022 | 2 |
About Tej Pandit
Tej Pandit is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Artificial Intelligence, Fluid Flow and Transfer Processes and Polymers and Plastics, having authored 5 papers that have together received 21 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Machine Learning and ELM (1 paper), Polymer Nanocomposites and Properties (1 paper), Reinforcement Learning in Robotics (1 paper), Stochastic Gradient Optimization Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Hardware and Architecture (4 citations), Artificial Intelligence (9 citations), Computer Vision and Pattern Recognition (5 citations), Electrical and Electronic Engineering (11 citations) and Computational Theory and Mathematics (3 citations). Tej Pandit has collaborated with scholars based in United States and Singapore. Frequent co-authors include Dhireesha Kudithipudi, John L. Gustafson and Girish Galgali. Their work appears in journals such as SHILAP Revista de lepidopterología and arXiv (Cornell University).
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.