Tiphaine Viard

437 citations
6 papers · 156 indexed · h-index 4
Topics
Complex Network Analysis Techniques (3 papers)Data Visualization and Analytics (2 papers)Network Security and Intrusion Detection (2 papers)
Journals
Computer NetworksTheoretical Computer SciencearXiv (Cornell University)
Partner nations
FranceJapanUnited States

In The Last Decade

Tiphaine Viard

6 papers receiving 153 citations

Peers

Tiphaine Viard
Comparison fields: 5 of 52
  • Statistical and Nonlinear Physics 77
  • Computer Networks and Communications 61
  • Artificial Intelligence 41
  • Computer Vision and Pattern Recognition 29
  • Computational Theory and Mathematics 26
Replace Ayushi Dalmia with:
Ayushi Dalmia India
Evgenios M. Kornaropoulos United States
Michele Borassi Italy
Yiye Ruan United States
François Théberge Canada
Disha Makhija United States
Mohit Kumar India
Yanmin Shang China
Sergey Pupyrev United States
Qitian Wu China
Tiphaine Viard relative to Ayushi Dalmia India Ayushi Dalmia's profile →
Citations per field
00.5×1.5×2.4×
Ayushi Dalmia · 1×
Citations per year

Countries citing papers authored by Tiphaine Viard

Since Specialization
Citations

This map shows the geographic impact of Tiphaine Viard'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 Tiphaine Viard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiphaine Viard more than expected).

Fields of papers citing papers by Tiphaine Viard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiphaine Viard. 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 Tiphaine Viard. The network helps show where Tiphaine Viard may publish in the future.

Co-authorship network of co-authors of Tiphaine Viard

This figure shows the co-authorship network connecting the top 25 collaborators of Tiphaine Viard. A scholar is included among the top collaborators of Tiphaine Viard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiphaine Viard. Tiphaine Viard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 2
2 21
3 3
4 2
5 73
6 55

About Tiphaine Viard

Tiphaine Viard is a scholar working on Statistical and Nonlinear Physics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 156 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Data Visualization and Analytics (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (77 citations), Health Informatics (6 citations) and Computer Networks and Communications (61 citations). Tiphaine Viard has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Matthieu Latapy, Clémence Magnien, Winston Maxwell and James Eagan. Their work appears in journals such as Computer Networks, Theoretical Computer Science and arXiv (Cornell University).

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.

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