Benjamin D. Pedigo
Impact in
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- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 3
- Functional Brain Connectivity Studies 3
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- Advanced Clustering Algorithms Research 1
- Co-authors
- Joshua T Vogelstein (8 shared papers)Carey E. Priebe (6 shared papers)Michael Winding (3 shared papers)Marta Zlatic (1 shared paper)Richard D. Fetter (1 shared paper)Avinash Khandelwal (1 shared paper)Albert Cardona (1 shared paper)Akira Fushiki (1 shared paper)
- Journals
- Annual Review of Statistics and Its Application (1 paper)Annual Review of Neuroscience (1 paper)Current Opinion in Neurobiology (1 paper)Network Neuroscience (1 paper)eLife (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Benjamin D. Pedigo
9 papers receiving 224 citations
Benjamin D. Pedigo's Hit Papers
Peers
Comparison fields: 5 of 66
- Aging 16
- Cellular and Molecular Neuroscience 98
- Biophysics 25
- Structural Biology 6
- Cognitive Neuroscience 77
Countries citing papers authored by Benjamin D. Pedigo
This map shows the geographic impact of Benjamin D. Pedigo'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 Benjamin D. Pedigo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin D. Pedigo more than expected).
Fields of papers citing papers by Benjamin D. Pedigo
This network shows the impact of papers produced by Benjamin D. Pedigo. 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 Benjamin D. Pedigo. The network helps show where Benjamin D. Pedigo may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin D. Pedigo, 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 | The connectome of an insect brain Hit paper breakdown → | 2023 | 177 |
| 2 | 2021 | 17 | |
| 3 | 2020 | 11 | |
| 4 | 2019 | 8 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 3 | |
| 7 | GraSPy: Graph Statistics in Python | 2019 | 2 |
| 8 | 2022 | 2 | |
| 9 | 2026 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2026 | 0 |
About Benjamin D. Pedigo
Benjamin D. Pedigo is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Molecular Biology, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 11 papers that have together received 227 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Complex Network Analysis Techniques (3 papers), Functional Brain Connectivity Studies (3 papers), Neurobiology and Insect Physiology Research (2 papers), Advanced Clustering Algorithms Research (1 paper), Neuroscience and Neural Engineering (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Aging (16 citations), Cellular and Molecular Neuroscience (98 citations), Biophysics (25 citations), Structural Biology (6 citations) and Cognitive Neuroscience (77 citations). Benjamin D. Pedigo has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Joshua T Vogelstein, Carey E. Priebe, Michael Winding, Marta Zlatic, Richard D. Fetter, Avinash Khandelwal, Albert Cardona, Akira Fushiki, Ingrid Andrade and Heather G. Patsolic. Their work appears in journals such as Annual Review of Statistics and Its Application, Annual Review of Neuroscience, Current Opinion in Neurobiology, Network Neuroscience and eLife.
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.