Aarti Singh
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Automotive Engineering
- Co-authors
- Robert D. NowakXiaojin ZhuTimothy VerstynenBarnabás PóczosWen‐Yih Isaac TsengFang‐Cheng YehJean M. VettelKirk I. Erickson
- Topics
- Machine Learning and Algorithms (3 papers)Expert finding and Q&A systems (3 papers)Complex Network Analysis Techniques (3 papers)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Aarti Singh
19 papers receiving 407 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 166
- Computer Vision and Pattern Recognition 87
- Radiology, Nuclear Medicine and Imaging 75
- Cognitive Neuroscience 64
- Automotive Engineering 35
Countries citing papers authored by Aarti Singh
This map shows the geographic impact of Aarti Singh'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 Aarti Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aarti Singh more than expected).
Fields of papers citing papers by Aarti Singh
This network shows the impact of papers produced by Aarti Singh. 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 Aarti Singh. The network helps show where Aarti Singh may publish in the future.
Co-authorship network of co-authors of Aarti Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Aarti Singh. A scholar is included among the top collaborators of Aarti Singh 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 Aarti Singh. Aarti Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels | 2 |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 41 | |
| 6 | 5 | |
| 7 | 25 | |
| 8 | Hypothesis Transfer Learning via Transformation Functions | 9 |
| 9 | Uncorrelation and evenness: a new diversity-promoting regularizer | 9 |
| 10 | 54 | |
| 11 | 6 | |
| 12 | 99 | |
| 13 | 1 | |
| 14 | A Critical Investigation of Agent Interaction Protocols in Multiagent Systems | 4 |
| 15 | Psammomatoid Type Juvenile Ossifying Fibroma of Mandible: A Rare Entity | 2 |
| 16 | 4 | |
| 17 | Optimal Stochastic Convex Optimization Through The Lens Of Active Learning | 0 |
| 18 | 28 | |
| 19 | Unlabeled data: Now it helps, now it doesn't | 116 |
| 20 | 6 |
About Aarti Singh
Aarti Singh is a scholar working on Artificial Intelligence, Behavioral Neuroscience and Statistical and Nonlinear Physics, having authored 22 papers that have together received 428 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (3 papers), Expert finding and Q&A systems (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Behavioral Neuroscience (27 citations), Artificial Intelligence (166 citations) and Computer Vision and Pattern Recognition (87 citations). Aarti Singh has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Robert D. Nowak, Xiaojin Zhu, Timothy Verstynen, Barnabás Póczos, Wen‐Yih Isaac Tseng, Fang‐Cheng Yeh, Jean M. Vettel, Kirk I. Erickson, Scott T. Grafton and Jayanth Koushik. Their work appears in journals such as IEEE Transactions on Signal Processing, PLoS Computational Biology and Additive manufacturing.
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.