Luc Julia

444 citations
21 papers · 307 · h-index 9

Impact in

Papers in

Luc Julia

17 papers receiving 242 citations

Peers

Luc Julia
Comparison fields: 5 of 40
  • Human-Computer Interaction 69
  • Artificial Intelligence 192
  • Computer Vision and Pattern Recognition 98
  • Computer Networks and Communications 55
  • Social Psychology 38
Replace Matthias Denecke with:
Matthias Denecke United States
Anselm Blocher Germany
Yacine Bellik France
Thomas Geier Germany
Jan Kleindienst United States
Michalis Foukarakis Greece
Alexander Nilsson Sweden
Henrik Tramberend Germany
Philip Kwok United States
Jason Gregory United States
Luc Julia relative to Matthias Denecke United States Matthias Denecke's profile →
Citations per field
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Matthias Denecke · 1×
Citations per year

Countries citing papers authored by Luc Julia

Since Specialization
Citations

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

Fields of papers citing papers by Luc Julia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Luc Julia, 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 Luc Julia Line = papers co-authored together Luc Julia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199868
2
Many Robots Make Short Work
199754
3 199750
4 199729
5 199829
6 200216
7 200114
8 199812
9 20028
10 19977
11
On Representing Salience and Reference in Multimodal Human-Computer Interaction
20037
12 19973
13 19953
14
Multimedia structuring using trees
20001
15 20021
16 20021
17 20011
18 19981
19 20011
20
Robots in a Distributed Agent System
19981

About Luc Julia

Luc Julia is a scholar working on Artificial Intelligence, Computer Networks and Communications, Social Psychology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 21 papers that have together received 307 indexed citations. Recurring topics across this work include Speech and dialogue systems (14 papers), Multi-Agent Systems and Negotiation (11 papers), Natural Language Processing Techniques (4 papers), Interactive and Immersive Displays (3 papers), Mobile Agent-Based Network Management (3 papers), Social Robot Interaction and HRI (3 papers), Semantic Web and Ontologies (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Human-Computer Interaction (69 citations), Artificial Intelligence (192 citations), Computer Vision and Pattern Recognition (98 citations), Computer Networks and Communications (55 citations) and Social Psychology (38 citations). Luc Julia has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Adam Cheyer, Kurt Konolige, Douglas B. Moran, David L. Martin, Sangkyu Park, Claudie Faure, Jean‐Claude Martin, Patti Price, Andrew Kehler and Larry Heck. Their work appears in journals such as Virtual Reality, Knowledge-Based Systems, AI Magazine, Lecture notes in computer science and Advances in human factors/ergonomics.

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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