Julien Ah-Pine
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
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- Advanced Graph Neural Networks
Papers in
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- Advanced Clustering Algorithms Research 2
- Bayesian Modeling and Causal Inference 2
- Topic Modeling 2
- Natural Language Processing Techniques 2
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- Advanced Image and Video Retrieval Techniques 2
- Image Retrieval and Classification Techniques 2
- Co-authors
- Gabriela Csurka (2 shared papers)Stéphane Clinchant (2 shared papers)Marco Bressan (1 shared paper)Jean-Michel Renders (1 shared paper)Sabine Loudcher (2 shared papers)Anne‐Françoise Yao (1 shared paper)
In The Last Decade
Julien Ah-Pine
7 papers receiving 52 citations
Peers
Comparison fields: 5 of 25
- Computer Vision and Pattern Recognition 26
- Artificial Intelligence 22
- Statistical and Nonlinear Physics 7
- Management Science and Operations Research 6
- Statistics and Probability 3
Countries citing papers authored by Julien Ah-Pine
This map shows the geographic impact of Julien Ah-Pine'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 Julien Ah-Pine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Ah-Pine more than expected).
Fields of papers citing papers by Julien Ah-Pine
This network shows the impact of papers produced by Julien Ah-Pine. 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 Julien Ah-Pine. The network helps show where Julien Ah-Pine may publish in the future.
Co-authors
The 6 scholars most cited alongside Julien Ah-Pine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 16 | |
| 2 | 2008 | 15 | |
| 3 | 2011 | 10 | |
| 4 | 2015 | 7 | |
| 5 | 2021 | 4 | |
| 6 | 2016 | 2 | |
| 7 | Hypergraph Modelization of a Syntactically Annotated English Wikipedia Dump | 2016 | 1 |
| 8 | 2024 | 0 | |
| 9 | 2010 | 0 |
About Julien Ah-Pine
Julien Ah-Pine is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Communication, having authored 9 papers that have together received 55 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (2 papers), Multi-Criteria Decision Making (2 papers), Bayesian Modeling and Causal Inference (2 papers), Topic Modeling (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Data Management and Algorithms (2 papers), Natural Language Processing Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (26 citations), Artificial Intelligence (22 citations), Statistical and Nonlinear Physics (7 citations), Management Science and Operations Research (6 citations) and Statistics and Probability (3 citations). Julien Ah-Pine has collaborated with scholars based in France and Australia. Frequent co-authors include Gabriela Csurka, Stéphane Clinchant, Marco Bressan, Jean-Michel Renders, Sabine Loudcher and Anne‐Françoise Yao. Their work appears in journals such as ACM Transactions on Information Systems, Multimedia Tools and Applications, Neurocomputing, European Journal of Operational Research and Language Resources and Evaluation.
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.