Diversity Space Analysis
Diversity Space Analysis is a computational method in chemical library design that characterizes the structural and chemical variability among compounds by mapping them into a multidimensional space, where the distribution and coverage of molecular features are systematically evaluated to ensure broad representation and minimize redundancy.
41
Publications
4.8K
Citations
139
Authors
60
Institutions
Publications per year
2017–2026
18
Parents
41
Jean‐Louis Reymond · Accounts of Chemical Research · 2015 · 702 citations · Full text
Understanding the diversity of the metal-organic framework ecosystem
Seyed Mohamad Moosavi, Aditya Nandy, Kevin Maik Jablonka et al. · Nature Communications · 2020 · 589 citations · Full text
Natural Sciences, Chemistry, Ecology +15
1–5 of 41
139
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h-index
École Polytechnique Fédérale de Lausanne, Switzerland
3 publications · 774 citations
3
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3
h-index
École Polytechnique Fédérale de Lausanne, Switzerland
3 publications · 774 citations
3
h-index
3
h-index
1–5 of 139
60
Universidad Nacional Autónoma de México
Mexico City, Mexico
6 h-index
13 publications
721 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
12 publications
531 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
4 publications
1.5K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
10 publications
3.6K citations
Unilever (United Kingdom)
London, United Kingdom
2 h-index
6 publications
510 citations
Université de Strasbourg
Strasbourg, France
2 h-index
9 publications
539 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
8 publications
702 citations
University of Virginia
Charlottesville, United States
2 h-index
6 publications
120 citations
1–8 of 60
JCIM · 9 publications · 695 citations
9
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6 publications · 1.2K citations
6
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2 publications · 115 citations
2
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2 publications · 50 citations
2
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2 publications · 527 citations
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