Sharad Vikram
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
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- Handwritten Text Recognition Techniques
- Human Pose and Action Recognition
Papers in
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- Sentiment Analysis and Opinion Mining 1
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- Handwritten Text Recognition Techniques 2
- Video Analysis and Summarization 2
- Co-authors
- Li Lei (1 shared paper)Lei Li (1 shared paper)Stuart Russell (1 shared paper)Zachary C. Lipton (1 shared paper)Julian McAuley (1 shared paper)Jianmo Ni (1 shared paper)Ashley Collier-Oxandale (1 shared paper)Michael Hannigan (1 shared paper)
- Journals
- Atmospheric measurement techniques (1 paper)Journal of the American Leather Chemists Association (1 paper)International Joint Conference on Natural Language Processing (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Sharad Vikram
8 papers receiving 103 citations
Peers
Comparison fields: 5 of 40
- Human-Computer Interaction 50
- Computer Vision and Pattern Recognition 36
- Environmental Engineering 22
- Cognitive Neuroscience 19
- Health, Toxicology and Mutagenesis 13
Countries citing papers authored by Sharad Vikram
This map shows the geographic impact of Sharad Vikram'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 Sharad Vikram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharad Vikram more than expected).
Fields of papers citing papers by Sharad Vikram
This network shows the impact of papers produced by Sharad Vikram. 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 Sharad Vikram. The network helps show where Sharad Vikram may publish in the future.
Co-authors
The 16 scholars most cited alongside Sharad Vikram, 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 | Handwriting and Gestures in the Air, Recognizing on the Fly | 2013 | 39 |
| 2 | 2019 | 23 | |
| 3 | 2013 | 20 | |
| 4 | Estimating Reactions and Recommending Products with Generative Models of Reviews | 2017 | 16 |
| 5 | What Are Bayesian Neural Network Posteriors Really Like | 2021 | 3 |
| 6 | Solving vein marks defects problem through wet end process | 2014 | 2 |
| 7 | 2002 | 1 | |
| 8 | Neural Network-Based Distributed Thermal Calculators | 1998 | 1 |
About Sharad Vikram
Sharad Vikram is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering, Human-Computer Interaction and Materials Chemistry, having authored 8 papers that have together received 105 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (2 papers), Handwritten Text Recognition Techniques (2 papers), Machine Learning in Materials Science (2 papers), Heat Transfer and Optimization (2 papers), Video Analysis and Summarization (2 papers), Air Quality Monitoring and Forecasting (1 paper), Markov Chains and Monte Carlo Methods (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Human-Computer Interaction (50 citations), Computer Vision and Pattern Recognition (36 citations), Environmental Engineering (22 citations), Cognitive Neuroscience (19 citations) and Health, Toxicology and Mutagenesis (13 citations). Sharad Vikram has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Li Lei, Lei Li, Stuart Russell, Zachary C. Lipton, Julian McAuley, Jianmo Ni, Ashley Collier-Oxandale, Michael Hannigan, William G. Griswold and Sanjoy Dasgupta. Their work appears in journals such as Atmospheric measurement techniques, Journal of the American Leather Chemists Association, International Joint Conference on Natural Language Processing and International Conference on Machine Learning.
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.