Philippe Mulhem

912 citations
46 papers · 260 indexed · h-index 10

Impact in

Papers in

Philippe Mulhem

42 papers receiving 234 citations

Peers

Philippe Mulhem
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 201
  • Signal Processing 55
  • Media Technology 24
  • Human-Computer Interaction 13
  • Artificial Intelligence 58
Replace Eric Zavesky with:
Eric Zavesky United States
Georg Thallinger Austria
Zhenxiao Luo China
Yushuo Guan China
A. Yoshitaka Japan
Michele Trevisiol Spain
Ramanujan S. Kashi United States
Omar Choudary Romania
Luca Piras Italy
Shi-Yong Neo Singapore
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Philippe Mulhem

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Mulhem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 201816
4 20184
5
Word Embedding for Social Book Suggestion
20161
6
Recherche de conversations dans les réseaux sociaux : modélisation et expérimentations sur Twitter.
20153
7 20145
8 20104
9
MRIM-LIG at ImageCLEF 2010 Visual Concept Detection and Annotation task
20102
10 20106
11
MRIM-LIG at ImageCLEF 2009: Photo Retrieval and Photo Annotation Tasks.
20094
12 20082
13 20053
14 20030
15
Semantic Video Annotation and Vague Query.
20032
16
An Improved Method for Image Retrieval using Speech Annotation
20039
17 200313
18
CLIPS at TREC 11: Experiments in Video Retrieval.
200215
19 20020
20 19955

About Philippe Mulhem

Philippe Mulhem is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Sociology and Political Science, having authored 46 papers that have together received 260 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (26 papers), Advanced Image and Video Retrieval Techniques (25 papers), Video Analysis and Summarization (17 papers), Multimodal Machine Learning Applications (8 papers), Web Data Mining and Analysis (6 papers), Music and Audio Processing (5 papers), Multimedia Communication and Technology (5 papers) and Information Retrieval and Search Behavior (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Signal Processing (55 citations), Media Technology (24 citations), Human-Computer Interaction (13 citations) and Artificial Intelligence (58 citations). Philippe Mulhem has collaborated with scholars based in France, Singapore and Norway. Frequent co-authors include Joo‐Hwee Lim, Qi Tian, Mohan Kankanhalli, Georges Quénot, Yves Chiaramella, Haseeb Hassan, Catherine Berrut, Radhakrishna Achanta, Laurence Nigay and Tele Tan. Their work appears in journals such as Multimedia Tools and Applications, IEEE Multimedia, Information Retrieval, ACM Transactions on Multimedia Computing Communications and Applications and Applied and Environmental Microbiology.

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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