Pascale Kuntz

2.3k citations
38 papers · 976 indexed · h-index 16
Topics
Data Visualization and Analytics (8 papers)Data Management and Algorithms (7 papers)Plant and animal studies (5 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
FranceSpainUnited States

In The Last Decade

Pascale Kuntz

35 papers receiving 912 citations

Peers

Pascale Kuntz
Comparison fields: 5 of 111
  • Artificial Intelligence 204
  • Genetics 155
  • Building and Construction 155
  • Ecology, Evolution, Behavior and Systematics 153
  • Computer Networks and Communications 121
Replace Franziska Klügl with:
Franziska Klügl Sweden
Dongjin Yu China
Luiz F. Bittencourt Brazil
Bettina Speckmann Netherlands
Gabriel Balan United States
Zhiwei Ye China
Ľuboš Buzna Slovakia
Heiko Hamann Germany
Anna Helena Reali Costa Brazil
Damjan Miklić Croatia
Pascale Kuntz relative to Franziska Klügl Sweden Franziska Klügl's profile →
Citations per field
00.5×1.5×
Franziska Klügl · 1×
Citations per year

Countries citing papers authored by Pascale Kuntz

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Kuntz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Kuntz

This figure shows the co-authorship network connecting the top 25 collaborators of Pascale Kuntz. A scholar is included among the top collaborators of Pascale Kuntz 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 Pascale Kuntz. Pascale Kuntz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 0
3 3
4 1
5 1
6 27
7 76
8 16
9 22
10 11
11 8
12 42
13 44
14 9
15 4
16 108
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Cartographie Web intégrant des relations sémantiques et combinatoires pour le référencement de sites.
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18 45
19 77
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PAGINATION OF LARGE SCALE NETWORKS
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About Pascale Kuntz

Pascale Kuntz is a scholar working on Signal Processing, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 38 papers that have together received 976 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Data Management and Algorithms (7 papers) and Plant and animal studies (5 papers). The work is most often cited by research in Transportation (78 citations), Building and Construction (155 citations) and Industrial and Manufacturing Engineering (107 citations). Pascale Kuntz has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Guy Théraulaz, Jacques Gautrais, Sergi Valverde, Dominique Snyers, Ricard V. Solé, Camille Buhl, Jin‐Kao Hao, Daniel Cosmin Porumbel, N. Peter Reeves and Sylvain Guérin. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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