Forest Agostinelli

1.1k total citations
14 papers, 366 citations indexed

About

Forest Agostinelli is a scholar working on Endocrine and Autonomic Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Forest Agostinelli has authored 14 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrine and Autonomic Systems, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Forest Agostinelli's work include Circadian rhythm and melatonin (4 papers), Light effects on plants (3 papers) and Advanced Semiconductor Detectors and Materials (2 papers). Forest Agostinelli is often cited by papers focused on Circadian rhythm and melatonin (4 papers), Light effects on plants (3 papers) and Advanced Semiconductor Detectors and Materials (2 papers). Forest Agostinelli collaborates with scholars based in United States, Cyprus and China. Forest Agostinelli's 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 and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Forest Agostinelli

13 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Forest Agostinelli United States	8	117	91	88	45	45	14	366
Gye-Young Kim South Korea	11	127 1.1×	24 0.3×	108 1.2×	25 0.6×	38 0.8×	53	388
Hrishikesh Deshpande United States	8	100 0.9×	23 0.3×	36 0.4×	61 1.4×	12 0.3×	15	403
Bowen Tan China	14	73 0.6×	306 3.4×	58 0.7×	54 1.2×	57 1.3×	39	561
J. Alexander Bae United States	7	56 0.5×	98 1.1×	17 0.2×	39 0.9×	2 0.0×	19	341
F. Javier Toledo Spain	12	79 0.7×	40 0.4×	4 0.0×	52 1.2×	8 0.2×	36	297
Gefei Li China	12	45 0.4×	31 0.3×	10 0.1×	146 3.2×	20 0.4×	20	564
Zirui Chen China	12	24 0.2×	44 0.5×	6 0.1×	31 0.7×	29 0.6×	30	410
N. Botros United States	8	29 0.2×	97 1.1×	5 0.1×	26 0.6×	39 0.9×	38	299

Countries citing papers authored by Forest Agostinelli

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Forest Agostinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Forest Agostinelli. A scholar is included among the top collaborators of Forest Agostinelli 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 Forest Agostinelli. Forest Agostinelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Chaudhuri, Sandeep K., Joshua W. Kleppinger, Forest Agostinelli, et al.. (2022). Synthesis of CdZnTeSe single crystals for room temperature radiation detector fabrication: mitigation of hole trapping effects using a convolutional neural network. Journal of Materials Science Materials in Electronics. 33(3). 1452–1463. 2 indexed citations

Shahbaba, Babak, et al.. (2022). Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events. Nature Communications. 13(1). 787–787. 26 indexed citations

Khandelwal, Vedant, et al.. (2022). ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik’s Cube with Automatic Solving and Interactive Explanations. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 13185–13187. 2 indexed citations

Samad, Muntaha, et al.. (2022). CircadiOmics: circadian omic web portal. Nucleic Acids Research. 50(W1). W183–W190. 9 indexed citations

Agostinelli, Forest, Vedant Khandelwal, Hengtao Tang, et al.. (2021). Designing Children’s New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik’s Cube. Interaction Design and Children. 610–614. 10 indexed citations

Chaudhuri, Sandeep K., Joshua W. Kleppinger, Kaushik Roy, et al.. (2021). A CdZnTeSe gamma spectrometer trained by deep convolutional neural network for radioisotope identification. Scholar Commons (University of South Carolina). 75. 5–5.

Agostinelli, Forest, Stephen McAleer, Alexander Shmakov, & Pierre Baldi. (2019). Solving the Rubik’s cube with deep reinforcement learning and search. Nature Machine Intelligence. 1(8). 356–363. 77 indexed citations

McAleer, Stephen, Forest Agostinelli, Alexander Shmakov, & Pierre Baldi. (2018). Solving the Rubik's Cube with Approximate Policy Iteration. International Conference on Learning Representations. 7 indexed citations

Ceglia, Nicholas, Yu Liu, Siwei Chen, et al.. (2018). CircadiOmics: circadian omic web portal. Nucleic Acids Research. 46(W1). W157–W162. 34 indexed citations

10.

Shi, Tianlin, et al.. (2016). Improving Survey Aggregation with Sparsely Represented Signals. 1845–1854. 2 indexed citations

11.

Agostinelli, Forest, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone‐Corsi, & Pierre Baldi. (2016). What time is it? Deep learning approaches for circadian rhythms. Bioinformatics. 32(12). i8–i17. 67 indexed citations

12.

Agostinelli, Forest, Michael R. Anderson, & Honglak Lee. (2013). Robust Image Denoising with Multi-Column Deep Neural Networks. Neural Information Processing Systems. 1493–1501. 8 indexed citations

13.

Agostinelli, Forest, Michael R. Anderson, & Honglak Lee. (2013). Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising. Neural Information Processing Systems. 26. 1493–1501. 119 indexed citations

14.

Samad, Muntaha, Forest Agostinelli, & Pierre Baldi. (2012). Bioinformatics and Systems Biology of Circadian Rhythms: BIO_CYCLE and CircadiOmics. Methods in molecular biology. 2482. 81–94. 3 indexed citations

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.

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