Jacques Pasquier

492 citations
30 papers · 308 · h-index 9

Impact in

Papers in

Jacques Pasquier

29 papers receiving 294 citations

Peers

Jacques Pasquier
Comparison fields: 5 of 64
  • Computer Networks and Communications 150
  • Information Systems 125
  • Management Information Systems 40
  • Software 13
  • Computer Vision and Pattern Recognition 67
Replace Hyun Jung La with:
Hyun Jung La South Korea
Ismael Bouassida Rodriguez Tunisia
Vlad Stirbu Finland
Ali. H. Shareef Iraq
Ajay Mohindra United States
Lina Garcés Brazil
Ridha Khédri Canada
Agnès Voisard Germany
Sandra Heiler United States
Nikhat Akhtar India
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 18 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200446
2 201035
3 201133
4 200831
5 199325
6 201716
7 201916
8 201814
9 199412
10 20178
11 20177
12 19937
13 20197
14 20146
15 20196
16 19865
17 19815
18 20154
19 20154
20 20134

About Jacques Pasquier

Jacques Pasquier is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Management Information Systems, having authored 30 papers that have together received 308 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Service-Oriented Architecture and Web Services (7 papers), Context-Aware Activity Recognition Systems (6 papers), Business Process Modeling and Analysis (5 papers), Security and Verification in Computing (4 papers), Mobile Agent-Based Network Management (3 papers), Cloud Data Security Solutions (3 papers) and Web Applications and Data Management (2 papers). The work is most often cited by research in Computer Networks and Communications (150 citations), Information Systems (125 citations), Management Information Systems (40 citations), Software (13 citations) and Computer Vision and Pattern Recognition (67 citations). Jacques Pasquier has collaborated with scholars based in Switzerland, France and Morocco. Frequent co-authors include Arnaud Durand, Patrick Brézillon, Dominique Guinard, Sonja Meyer, Carsten Magerkurth, Ayoub Ait Lahcen, Patrice Viens, R Sauvan, J. Kohlas and Anne‐Marie Stoppa. Their work appears in journals such as European Journal of Operational Research, European Journal of Endocrinology, Software Practice and Experience, International Journal of Telemedicine and Applications 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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