Kyle Harrington
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
Papers in
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- Single-cell and spatial transcriptomics 4
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- Evolutionary Algorithms and Applications 9
- Metaheuristic Optimization Algorithms Research 5
- Reinforcement Learning in Robotics 4
- Co-authors
- Ulrik Günther (2 shared papers)Cameron Arshadi (1 shared paper)Tiago Ferreira (2 shared papers)Mark Eddison (1 shared paper)Katie Bentley (6 shared papers)Jordan Pollack (9 shared papers)Sylvain Cussat‐Blanc (3 shared papers)Shane P. Herbert (2 shared papers)
- Journals
- Artificial Life (3 papers)Nature Methods (2 papers)Frontiers in Big Data (2 papers)Nature Cell Biology (2 papers)Biosystems (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Kyle Harrington
41 papers receiving 775 citations
Kyle Harrington's Hit Papers
Peers
Comparison fields: 5 of 111
- Biophysics 74
- Cellular and Molecular Neuroscience 203
- Endocrine and Autonomic Systems 75
- Cell Biology 121
- Developmental Neuroscience 29
Countries citing papers authored by Kyle Harrington
This map shows the geographic impact of Kyle Harrington'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 Kyle Harrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Harrington more than expected).
Fields of papers citing papers by Kyle Harrington
This network shows the impact of papers produced by Kyle Harrington. 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 Kyle Harrington. The network helps show where Kyle Harrington may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Harrington, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SNT: a unifying toolbox for quantification of neuronal anatomy Hit paper breakdown → | 2021 | 205 |
| 2 | 2011 | 83 | |
| 3 | 2016 | 81 | |
| 4 | 2019 | 62 | |
| 5 | 2022 | 41 | |
| 6 | 2019 | 31 | |
| 7 | 2020 | 30 | |
| 8 | 2016 | 28 | |
| 9 | 2014 | 28 | |
| 10 | 2019 | 25 | |
| 11 | 2021 | 24 | |
| 12 | 2011 | 20 | |
| 13 | 2015 | 17 | |
| 14 | 2016 | 15 | |
| 15 | 2012 | 10 | |
| 16 | 2014 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2013 | 5 |
About Kyle Harrington
Kyle Harrington is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Sociology and Political Science and Biophysics, having authored 46 papers that have together received 782 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (9 papers), Evolutionary Algorithms and Applications (9 papers), Evolutionary Game Theory and Cooperation (8 papers), Slime Mold and Myxomycetes Research (6 papers), Metaheuristic Optimization Algorithms Research (5 papers), Reinforcement Learning in Robotics (4 papers), Single-cell and spatial transcriptomics (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Biophysics (74 citations), Cellular and Molecular Neuroscience (203 citations), Endocrine and Autonomic Systems (75 citations), Cell Biology (121 citations) and Developmental Neuroscience (29 citations). Kyle Harrington has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Ulrik Günther, Cameron Arshadi, Tiago Ferreira, Mark Eddison, Katie Bentley, Jordan Pollack, Sylvain Cussat‐Blanc, Shane P. Herbert, Álvaro Sánchez and Donna J. Page. Their work appears in journals such as Artificial Life, Nature Methods, Frontiers in Big Data, Nature Cell Biology and Biosystems.
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.