Rim Helaoui
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Biomedical Engineering
- Co-authors
- Daniele RiboniHeiner StuckenschmidtDiego Reforgiato RecuperoCláudio BettiniMathias NiepertVivek KumarGabriele CivitareseZaffar Haider Janjua
- Topics
- Topic Modeling (8 papers)Context-Aware Activity Recognition Systems (8 papers)Mental Health via Writing (4 papers)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Rim Helaoui
22 papers receiving 471 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 294
- Artificial Intelligence 192
- Computer Networks and Communications 114
- Signal Processing 67
- Biomedical Engineering 55
Countries citing papers authored by Rim Helaoui
This map shows the geographic impact of Rim Helaoui'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 Rim Helaoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rim Helaoui more than expected).
Fields of papers citing papers by Rim Helaoui
This network shows the impact of papers produced by Rim Helaoui. 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 Rim Helaoui. The network helps show where Rim Helaoui may publish in the future.
Co-authorship network of co-authors of Rim Helaoui
This figure shows the co-authorship network connecting the top 25 collaborators of Rim Helaoui. A scholar is included among the top collaborators of Rim Helaoui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rim Helaoui. Rim Helaoui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 61 | |
| 10 | Towards a generalised framework for behaviour insight mining | 1 |
| 11 | 9 | |
| 12 | Detecting and tracking ongoing topics in psychotherapeutic conversations. | 1 |
| 13 | Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs. | 3 |
| 14 | 72 | |
| 15 | 2 | |
| 16 | 42 | |
| 17 | 94 | |
| 18 | Towards Activity Recognition Using Probabilistic Description Logics | 10 |
| 19 | 24 | |
| 20 | 2 |
About Rim Helaoui
Rim Helaoui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 22 papers that have together received 484 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Context-Aware Activity Recognition Systems (8 papers) and Mental Health via Writing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (294 citations), Signal Processing (67 citations) and Artificial Intelligence (192 citations). Rim Helaoui has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Daniele Riboni, Heiner Stuckenschmidt, Diego Reforgiato Recupero, Cláudio Bettini, Mathias Niepert, Vivek Kumar, Gabriele Civitarese, Zaffar Haider Janjua, Francesco Sartor and A. Bonomi. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Artificial Intelligence in Medicine.
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.