Clyde Fare

560 total citations
12 papers, 342 citations indexed

About

Clyde Fare is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Clyde Fare has authored 12 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Clyde Fare's work include Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Clyde Fare is often cited by papers focused on Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Clyde Fare collaborates with scholars based in United Kingdom, Japan and United States. Clyde Fare's co-authors include Edward O. Pyzer‐Knapp, Randall B. Widelitz, Philip K. Maini, James A. Warren, Thomas Andl, Ruth E. Baker, Chih-Chiang Chen, Sarah E. Millar, Changwon Suh and Cheng‐Ming Chuong and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Clyde Fare

10 papers receiving 337 citations

Peers

Countries citing papers authored by Clyde Fare

Since Specialization

Citations

This map shows the geographic impact of Clyde Fare'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 Clyde Fare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clyde Fare more than expected).

Fields of papers citing papers by Clyde Fare

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clyde Fare. 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 Clyde Fare. The network helps show where Clyde Fare may publish in the future.

Co-authorship network of co-authors of Clyde Fare

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	History Matching Reservoir Models With Many Objective Bayesian Optimization 2024 ·SHILAP Revista de lepidopterología ·(unknown), Clyde Fare, Kirk E. Jordan, Zhangxin Chen	0
2	A multi-fidelity machine learning approach to high throughput materials screening 2022 ·npj Computational Materials ·Clyde Fare, (unknown), (unknown), (unknown), Edward O. Pyzer‐Knapp	46
3	Physics-constrained machine learning for thermal turbulence modelling at low Prandtl numbers 2022 ·International Journal of Heat and Mass Transfer ·(unknown), (unknown), Clyde Fare, Miguel Alfonso Mendez, Matthieu Duponcheel, Yann Bartosiewicz	17
4	Expensive optimization with production-graph resource constraints 2022 ·Proceedings of the Genetic and Evolutionary Computation Conference ·(unknown), Richard Allmendinger, Manuel López‐Ibáñez, Clyde Fare, (unknown), Joshua Knowles	0
5	Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks 2020 ·ePubs (Science and Technology Facilities Council, Research Councils UK) ·Clyde Fare, Lukas Turcani, Edward O. Pyzer‐Knapp	8
6	Evolving the Materials Genome: How Machine Learning Is Fueling the Next Generation of Materials Discovery 2020 ·Annual Review of Materials Research ·Changwon Suh, Clyde Fare, James A. Warren, Edward O. Pyzer‐Knapp	65
7	Radical-Triggered Reaction Mechanism of the Green-to-Red Photoconversion of EosFP 2020 ·The Journal of Physical Chemistry B ·Clyde Fare, (unknown), Violeta Cordón-Preciado, Jasper J. Michels, Michael J. Bearpark, Peter R. Rich, Jasper J. van Thor	6
8	Modelling Mobile Signal Strength by Combining Geospatial Big Data and Artificial Intelligence 2020 ·Paolo Fraccaro, (unknown), (unknown), Clyde Fare, B. Edwards, Edward O. Pyzer‐Knapp	1
9	Coincidence timing of femtosecond optical pulses in an X-ray free electron laser 2017 ·Journal of Applied Physics ·Álvaro Sánchez‐González, Allan S. Johnson, Ann Fitzpatrick, C. Hutchison, Clyde Fare, Violeta Cordón-Preciado, Gabriel Dorlhiac, Josie L. Ferreira, Rhodri M. L. Morgan, J. P. Marangos, Shigeki Owada, Takanori Nakane, Rie Tanaka, Kensuke Tono, So Iwata, Jasper J. van Thor	12
10	X-ray Free Electron Laser Determination of Crystal Structures of Dark and Light States of a Reversibly Photoswitching Fluorescent Protein at Room Temperature 2017 ·International Journal of Molecular Sciences ·C. Hutchison, Violeta Cordón-Preciado, Rhodri M. L. Morgan, Takanori Nakane, Josie L. Ferreira, Gabriel Dorlhiac, Álvaro Sánchez‐González, Allan S. Johnson, Ann Fitzpatrick, Clyde Fare, J. P. Marangos, Chun Hong Yoon, Mark Hunter, Daniel P. DePonte, Sébastien Boutet, Shigeki Owada, Rie Tanaka, Kensuke Tono, So Iwata, (unknown)	10
11	PyLDM - An open source package for lifetime density analysis of time-resolved spectroscopic data 2017 ·PLoS Computational Biology ·Gabriel Dorlhiac, Clyde Fare, Jasper J. van Thor	21
12	Self-Organizing and Stochastic Behaviors During the Regeneration of Hair Stem Cells 2011 ·Science ·Maksim V. Plikus, Ruth E. Baker, Chih-Chiang Chen, Clyde Fare, (unknown), Thomas Andl, Philip K. Maini, Sarah E. Millar, Randall B. Widelitz, Cheng‐Ming Chuong	156

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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