Philippe Lalanda

2.0k citations
55 papers · 558 · h-index 13

Impact in

Papers in

Philippe Lalanda

50 papers receiving 512 citations

Peers

Philippe Lalanda
Comparison fields: 5 of 57
  • Computer Networks and Communications 278
  • Information Systems 249
  • Software 34
  • Computer Vision and Pattern Recognition 178
  • Artificial Intelligence 257
Replace Damien Cassou with:
Damien Cassou France
Nelson Souto Rosa Brazil
Romina Spalazzese Sweden
Aitor Urbieta Spain
Dana Nau United States
Hyun Jung La South Korea
Vangalur Alagar Canada
Jang‐Eui Hong South Korea
Philippe Merle France
Philippe Lalanda relative to Damien Cassou France Damien Cassou's profile →
Citations per field
00.5×5.9×
Damien Cassou · 1×
Citations per year

Countries citing papers authored by Philippe Lalanda

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Lalanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Lalanda, 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 Philippe Lalanda Line = papers co-authored together Philippe Lalanda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199574
2 200763
3 201355
4 201743
5 200736
6 201927
7 200520
8 200720
9 201117
10 202216
11 200816
12 200714
13 200613
14 201811
15 202210
16 200710
17
A real-time blackboard-based architecture
19929
18 20069
19 20078
20 20237

About Philippe Lalanda

Philippe Lalanda is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Information Systems, having authored 55 papers that have together received 558 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (32 papers), Advanced Software Engineering Methodologies (26 papers), Context-Aware Activity Recognition Systems (20 papers), Software System Performance and Reliability (10 papers), IoT and Edge/Fog Computing (9 papers), Business Process Modeling and Analysis (6 papers), Privacy-Preserving Technologies in Data (5 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Computer Networks and Communications (278 citations), Information Systems (249 citations), Software (34 citations), Computer Vision and Pattern Recognition (178 citations) and Artificial Intelligence (257 citations). Philippe Lalanda has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Clément Escoffier, Ada Diaconescu, Richard S. Hall, Marko Balabanović, Karl Pfleger, Barbara Hayes‐Roth, Christian Becker, Germán Vega, François Portet and Christine Julien. Their work appears in journals such as IEEE Internet Computing, Pervasive and Mobile Computing, IEEE Transactions on Software Engineering, ACM Transactions on Autonomous and Adaptive Systems and IEEE Software.

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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