The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Derek Long sits on this spectrum.
This scientist: 202 publications — 47th percentile
47% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Derek Long sits on this spectrum.
This scientist: 48 D-Index — 58th percentile
58% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Derek Long is a researcher affiliated with King's College London in the United Kingdom. Their work predominantly lies within the field of Computer Science, with a strong emphasis on Artificial Intelligence. Over their career, they have contributed to 24 publications in this area, exploring several specialized subfields such as Artificial Intelligence, Ocean Engineering, Safety Research, Software, and Computer Vision and Pattern Recognition.
The primary topics Derek Long has investigated include AI-based Problem Solving and Planning, Semantic Web and Ontologies, Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Logic, Reasoning, and Knowledge, Adversarial Robustness in Machine Learning, and Model-Driven Software Engineering Techniques.
Frequent collaborators in Derek Long's work include Benjamin Krarup, Senka Krivić, Maria Fox, Laurence A. Nafié, and Hiro-o Hamaguchi, indicating sustained research relationships and joint projects.
Derek Long has publications in various venues, reflecting the interdisciplinary nature of their research. Key publication venues include arXiv (Cornell University), the Journal of Raman Spectroscopy, the Journal of Artificial Intelligence Research, PubMed, and AI Communications.
Representative recent papers authored or co-authored by Derek Long include:
The research topics covered in these works reflect an intersection between ethical considerations in AI, explainability, planning, and applied artificial intelligence in domains such as biomanufacturing. The scientific output shows engagement with contemporary issues in AI ethics and explainability alongside technical advancements.
Maria Fox;Derek Long
Derek Long;Maria Fox
Alfonso E. Gerevini;Patrik Haslum;Derek Long;Alessandro Saetti
Alfonso Gerevini;Derek Long
Amanda Coles;Andrew Coles;Maria Fox;Derek Long
Maria Fox;Derek Long
Maria Fox;Derek Long
Maria Fox;Alfonso Gerevini;Derek Long;Ivan Serina
R. Howey;D. Long;M. Fox
Michael Cashmore;Maria Fox;Derek Long;Daniele Magazzeni
Maria Fox;Derek Long
Derek Long;Maria Fox
Amanda Coles;Andrew Coles;Maria Fox;Derek Long
Josef Bajada;Maria Fox;Derek Long
A. Gerevini;D. Long
M. A. Hakim Newton;John Levine;Maria Fox;Derek Long
Chiara Piacentini;Maria Fox;Derek Long
Andrew Coles;Maria Fox;Derek Long;Amanda Smith
Derek Long;Maria Fox
Maria Fox;Derek Long;Daniele Magazzeni
Andrew Coles;Maria Fox;Derek Long;Amanda Coles
Michael Cashmore;Maria Fox;Derek Long;Daniele Magazzeni
Michael Cashmore;Maria Fox;Tom Larkworthy;Derek Long
Michael Cashmore;Maria Fox;Tom Larkworthy;Derek Long
M. Fox;D. Long
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 18
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