Daniel Hug
- Applied Mathematics top 0.5%
- Point processes and geometric inequalities 81
- Geometric Analysis and Curvature Flows 36
- Geometry and Topology top 1%
- Morphological variations and asymmetry 13
- Mathematics and Applications 8
- Computational Mathematics top 10%
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- Computational Geometry and Mesh Generation 9
- Mathematical Physics top 10%
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- Digital Image Processing Techniques 11
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- Polyamine Metabolism and Applications 8
- Diffusion and Search Dynamics 8
- Co-authors
- Wolfgang WeilRolf SchneiderRichard J. GardnerJohn K. HunterGünter LastMatthias ReitznerDeping YeGaoyong Zhang
- Journals
- Advances in Applied Probability (16 papers)Photochemistry and Photobiology (8 papers)Discrete & Computational Geometry (6 papers)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Daniel Hug
117 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 135
- Applied Mathematics 1.1k
- Geometry and Topology 452
- Computational Mathematics 17
- Computer Graphics and Computer-Aided Design 98
- Mathematical Physics 113
Countries citing papers authored by Daniel Hug
This map shows the geographic impact of Daniel Hug'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 Daniel Hug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hug more than expected).
Fields of papers citing papers by Daniel Hug
This network shows the impact of papers produced by Daniel Hug. 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 Daniel Hug. The network helps show where Daniel Hug may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Hug, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | A reverse Minkowski-type inequality | 2020 | 1 |
| 6 | 2017 | 3 | |
| 7 | 2015 | 57 | |
| 8 | 2015 | 16 | |
| 9 | 2014 | 3 | |
| 10 | 2013 | 56 | |
| 11 | 2012 | 13 | |
| 12 | 2009 | 6 | |
| 13 | 2008 | 37 | |
| 14 | 2005 | 9 | |
| 15 | Intrinsic volumes and polar sets in spherical space | 2002 | 30 |
| 16 | 2001 | 2 | |
| 17 | 1994 | 14 | |
| 18 | 1991 | 14 | |
| 19 | 1987 | 2 | |
| 20 | 1982 | 3 |
About Daniel Hug
Daniel Hug is a scholar working on Applied Mathematics, Geometry and Topology and Computer Graphics and Computer-Aided Design, having authored 123 papers that have together received 1.8k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (81 papers), Geometric Analysis and Curvature Flows (36 papers), Morphological variations and asymmetry (13 papers), Digital Image Processing Techniques (11 papers), Computational Geometry and Mesh Generation (9 papers), Mathematics and Applications (8 papers), Polyamine Metabolism and Applications (8 papers) and Diffusion and Search Dynamics (8 papers). The work is most often cited by research in Applied Mathematics (1.1k citations), Geometry and Topology (452 citations) and Computational Mathematics (17 citations). Daniel Hug has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Wolfgang Weil, Rolf Schneider, Richard J. Gardner, John K. Hunter, Günter Last, Matthias Reitzner, Deping Ye, John K. Hunter, Gaoyong Zhang and Erwin Lutwak. Their work appears in journals such as Advances in Applied Probability, Photochemistry and Photobiology, Discrete & Computational Geometry, Journal of Photochemistry and Photobiology B Biology and Journal of Bacteriology.
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.