Forest Agostinelli
- Aging top 10%
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin 4
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- Image and Signal Denoising Methods 2
- Advanced Image Processing Techniques 2
- Media Technology top 10%
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- Reinforcement Learning in Robotics 2
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- Light effects on plants 3
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- Advanced Semiconductor Detectors and Materials 2
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- Sparse and Compressive Sensing Techniques 2
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- Online Learning and Analytics 2
- Co-authors
- Pierre BaldiHonglak LeeMichael R. AndersonStephen McAleerAlexander ShmakovNicholas CegliaPaolo Sassone‐CorsiBabak Shahbaba
- Journals
- Nucleic Acids Research (2 papers)Journal of Materials Science Materials in Electronics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCyprusChina
In The Last Decade
Forest Agostinelli
13 papers receiving 356 citations
Peers
Comparison fields: 5 of 82
- Aging 23
- Endocrine and Autonomic Systems 88
- Computer Vision and Pattern Recognition 117
- Media Technology 39
- Artificial Intelligence 91
Countries citing papers authored by Forest Agostinelli
This map shows the geographic impact of Forest Agostinelli'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 Forest Agostinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Forest Agostinelli more than expected).
Fields of papers citing papers by Forest Agostinelli
This network shows the impact of papers produced by Forest Agostinelli. 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 Forest Agostinelli. The network helps show where Forest Agostinelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Forest Agostinelli, 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 | 2022 | 2 | |
| 2 | 2022 | 26 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 0 | |
| 7 | 2019 | 77 | |
| 8 | Solving the Rubik's Cube with Approximate Policy Iteration | 2018 | 7 |
| 9 | 2018 | 34 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 67 | |
| 12 | Robust Image Denoising with Multi-Column Deep Neural Networks | 2013 | 8 |
| 13 | Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising | 2013 | 119 |
| 14 | 2012 | 3 |
About Forest Agostinelli
Forest Agostinelli is a scholar working on Endocrine and Autonomic Systems, Aging, Computer Science Applications, Computer Networks and Communications and Statistics and Probability, having authored 14 papers that have together received 366 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (4 papers), Light effects on plants (3 papers), Advanced Semiconductor Detectors and Materials (2 papers), Image and Signal Denoising Methods (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Online Learning and Analytics (2 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Aging (23 citations), Endocrine and Autonomic Systems (88 citations), Computer Vision and Pattern Recognition (117 citations), Media Technology (39 citations) and Artificial Intelligence (91 citations). Forest Agostinelli has collaborated with scholars based in United States, Cyprus and China. Frequent co-authors include Pierre Baldi, Honglak Lee, Michael R. Anderson, Stephen McAleer, Alexander Shmakov, Nicholas Ceglia, Paolo Sassone‐Corsi, Babak Shahbaba, Kristin Eckel‐Mahan and Siwei Chen. Their work appears in journals such as Nucleic Acids Research, Journal of Materials Science Materials in Electronics, Nature Communications, Nature Machine Intelligence and Bioinformatics.
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.