Daniel Archambault
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- Data Visualization and Analytics 52
- Video Analysis and Summarization 9
- Graph Theory and Algorithms 6
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- Complex Network Analysis Techniques 20
- Signal Processing top 5%
- Data Management and Algorithms 12
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- Computational Geometry and Mesh Generation 5
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- Topological and Geometric Data Analysis 7
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- Advanced Text Analysis Techniques 5
- Co-authors
- Helen C. PurchaseDavid AuberTamara MunznerBruno PinaudBenjamin BachChristophe HurterPierre DragicevicSheelagh Carpendale
- Journals
- IEEE Transactions on Visualization and Computer Graphics (13 papers)Computer Graphics Forum (9 papers)ACM Transactions on Interactive Intelligent Systems (1 paper)
- Partner nations
- United KingdomFranceIreland
In The Last Decade
Daniel Archambault
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 1.1k
- Statistical and Nonlinear Physics 465
- Signal Processing 252
- Computer Graphics and Computer-Aided Design 71
- Geography, Planning and Development 91
Countries citing papers authored by Daniel Archambault
This map shows the geographic impact of Daniel Archambault'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 Archambault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Archambault more than expected).
Fields of papers citing papers by Daniel Archambault
This network shows the impact of papers produced by Daniel Archambault. 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 Archambault. The network helps show where Daniel Archambault may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Archambault, 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 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 4 | |
| 11 | 2018 | 58 | |
| 12 | 2017 | 4 | |
| 13 | 2015 | 7 | |
| 14 | 2014 | 100 | |
| 15 | 2012 | 14 | |
| 16 | 2011 | 10 | |
| 17 | 2010 | 17 | |
| 18 | Structural differences between two graphs through hierarchies | 2009 | 34 |
| 19 | 2008 | 108 | |
| 20 | 2007 | 103 |
About Daniel Archambault
Daniel Archambault is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Statistical and Nonlinear Physics, Signal Processing and Biophysics, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (52 papers), Complex Network Analysis Techniques (20 papers), Data Management and Algorithms (12 papers), Video Analysis and Summarization (9 papers), Topological and Geometric Data Analysis (7 papers), Graph Theory and Algorithms (6 papers), Computational Geometry and Mesh Generation (5 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Statistical and Nonlinear Physics (465 citations), Signal Processing (252 citations), Computer Graphics and Computer-Aided Design (71 citations) and Geography, Planning and Development (91 citations). Daniel Archambault has collaborated with scholars based in United Kingdom, France and Ireland. Frequent co-authors include Helen C. Purchase, David Auber, Tamara Munzner, Bruno Pinaud, Benjamin Bach, Christophe Hurter, Pierre Dragicevic, Sheelagh Carpendale, Paolo Simonetto and Huamin Qu. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, ACM Transactions on Interactive Intelligent Systems, Information Sciences and Applied Network Science.
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.