Jacques Pasquier

450 citations
32 papers · 341 · h-index 10

Impact in

Papers in

Jacques Pasquier

30 papers receiving 322 citations

Peers

Jacques Pasquier
Comparison fields: 5 of 62
  • Computer Networks and Communications 155
  • Information Systems 141
  • Management Information Systems 56
  • Software 18
  • Computer Vision and Pattern Recognition 79
Replace Hyun Jung La with:
Hyun Jung La South Korea
Ismael Bouassida Rodriguez Tunisia
Pascal Hirmer Germany
Vlad Stirbu Finland
Seyyed Mohsen Hashemi Iran
Sonja Meyer Switzerland
Lina Garcés Brazil
Abeer Abdulaziz Alsanad Saudi Arabia
Ilia Petrov Germany
Jacques Pasquier relative to Hyun Jung La South Korea Hyun Jung La's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jacques Pasquier

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Pasquier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jacques Pasquier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacques Pasquier Line = papers co-authored together Jacques Pasquier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200464
2 201148
3 199335
4 200834
5 201917
6 201717
7 201815
8 199414
9 201711
10 20199
11 20177
12 20177
13 19937
14 20196
15 20146
16 19865
17 19815
18 20114
19 20154
20 19884

About Jacques Pasquier

Jacques Pasquier is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems, having authored 32 papers that have together received 341 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Context-Aware Activity Recognition Systems (7 papers), Service-Oriented Architecture and Web Services (6 papers), Business Process Modeling and Analysis (5 papers), Security and Verification in Computing (4 papers), Cloud Data Security Solutions (3 papers), Usability and User Interface Design (3 papers) and Multimedia Communication and Technology (2 papers). The work is most often cited by research in Computer Networks and Communications (155 citations), Information Systems (141 citations), Management Information Systems (56 citations), Software (18 citations) and Computer Vision and Pattern Recognition (79 citations). Jacques Pasquier has collaborated with scholars based in Switzerland, France and Morocco. Frequent co-authors include Arnaud Durand, Patrick Brézillon, Sonja Meyer, Carsten Magerkurth, Olivier Liechti, B. Vialettes, R Sauvan, Daniel Olive, D Maraninchi and Patrice Viens. Their work appears in journals such as European Journal of Operational Research, Software Practice and Experience, European Journal of Endocrinology, Proceedings of the VLDB Endowment and OR Spectrum.

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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