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Ben Scott

Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool
2011 · Steven Bachman, Justin Moat, et al. · ZooKeys · 2,375
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Semantic tagging of and semantic enhancements to systematics papers: ZooKeys working examples
2010 · Lyubomir Penev, Donat Agosti, et al. · ZooKeys · 79
Scratchpads: a data-publishing framework to build, share and manage information on the diversity of life
2009 · Vincent S Smith, Simon D Rycroft, et al. · BMC Bioinformatics · 39
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Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science
2011 · Vincent Smith, Simon Rycroft, et al. · ZooKeys · 37
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The Natural History Museum Data Portal
2019 · Ben Scott, Ed Baker, et al. · Database · 28
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Streamlining taxonomic publication: a working example with Scratchpads and ZooKeys
2010 · Vladimir Blagoderov, Irina Brake, et al. · ZooKeys · 28
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Landscape Analysis for the Specimen Data Refinery
2020 · Stephanie Walton, Laurence Livermore, et al. · Research Ideas and Outcomes · 24
The Specimen Data Refinery: A Canonical Workflow Framework and FAIR Digital Object Approach to Speeding up Digital Mobilisation of Natural History Collections
2022 · Alex Hardisty, Paul Brack, et al. · Data Intelligence · 13
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Envisaging a global infrastructure to exploit the potential of digitised collections
2023 · Quentin Groom, Mathias Dillen, et al. · Biodiversity Data Journal · 12
Biodiversity data and new species descriptions of polychaetes from offshore waters of the Falkland Islands, an area undergoing hydrocarbon exploration
2020 · Lenka Neal, Gordon L. J. Paterson, et al. · ZooKeys · 12
The use of generative AI for coding in academia
2024 · Simon Wills, Sanson T. S. Poon, et al. · Methods in Ecology and Evolution · 9
DiSSCo Transition Abridged Grant Proposal
2024 · Dimitrios Koureas, Laurence Livermore, et al. · Research Ideas and Outcomes · 6
ALICE Software: Machine learning & computer vision for automatic label extraction
2022 · Arianna Salili-James, Ben Scott, et al. · Biodiversity Information Science and Standards · 5
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Extracting Data at Scale: Machine learning at the Natural History Museum
2021 · Ben Scott, Laurence Livermore · Biodiversity Information Science and Standards · 5
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Robot-in-the-loop: Prototyping robotic digitisation at the Natural History Museum
2023 · Ben Scott, Arianna Salili-James, et al. · Biodiversity Information Science and Standards · 4
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Reducing the number of Data Deficient plant species
2024 · Neil Brummitt, Qianyuan Cui, et al. · Systematics and Biodiversity · 3
Accelerating Pinned Insect Specimen Digitization: A Deep Learning Pipeline for Future Collaborative Robots
2025 · Naifeng Zhang, Arianna Salili‐James, et al. · Advanced Intelligent Systems · 2
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Accelerating Museum AI Research and Application at the UK Natural History Museum: The NHM AI Lab Programme
2024 · Sanson Poon, Ben Scott, et al. · Biodiversity Information Science and Standards · 2
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AI-Accelerated Digitisation of Insect Collections: The next generation of Angled Label Image Capture Equipment (ALICE)
2023 · Arianna Salili-James, Ben Scott, et al. · Biodiversity Information Science and Standards · 2
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Planetary Knowledge Base: Semantic Transcription Using Graph Neural Networks
2023 · Qianqian Gu, Ben Scott, et al. · Biodiversity Information Science and Standards · 2
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Enhancing Botanical Knowledge Graphs with Machine Learning
2022 · Qianqian Gu, Ben Scott, et al. · Biodiversity Information Science and Standards · 2
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Automatic Detection and Identification of Calcareous Nannofossils in Chalk Using Deep Learning: A Proof-of-Concept Study for Biostratigraphy and Climate Research
2024 · Sanson Poon, Avellina Leong, et al. · Biodiversity Information Science and Standards · 1
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Unscrambling the Eggs: Automated Data Extraction from Structured Record Cards
2024 · Arianna Salili-James, Ben Scott, et al. · Biodiversity Information Science and Standards · 1
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Breaking the bottleneck: self-supervised deep learning framework for fully automated fossil CT segmentation
2026 · Arindam Roy, Poulami Ghosh, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Roy et al. 2026 Breaking the bottleneck: self-supervised deep learning framework for fully automated fossil CT segmentation (Codebase and Animated Reconstructions)
2026 · Roy, Arindam, Ghosh, Poulami, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 86
Citation count: 2,679
H-index: 10
I10-index: 10
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