Alexandre Aussem

461 total citations
18 papers, 118 citations indexed

About

Alexandre Aussem is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Alexandre Aussem has authored 18 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Alexandre Aussem's work include Topic Modeling (3 papers), Advanced Queuing Theory Analysis (3 papers) and Network Traffic and Congestion Control (3 papers). Alexandre Aussem is often cited by papers focused on Topic Modeling (3 papers), Advanced Queuing Theory Analysis (3 papers) and Network Traffic and Congestion Control (3 papers). Alexandre Aussem collaborates with scholars based in France, United Kingdom and Germany. Alexandre Aussem's co-authors include Haytham Elghazel, Pascal Caillet, Anne‐Marie Schott, Michel Ducher, Marilys Corbex, Fionn Murtagh, M. Sarazin, Stéphane Minvielle, Charles Dumontet and Wilfried Gouraud and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Neurocomputing.

In The Last Decade

Alexandre Aussem

17 papers receiving 108 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexandre Aussem France 6 45 22 19 17 14 18 118
A. Kellner Germany 8 109 2.4× 53 2.4× 20 1.1× 8 0.5× 28 2.0× 22 364
Ashish Shrestha Nepal 6 16 0.4× 10 0.5× 6 0.3× 14 0.8× 29 2.1× 11 272
Mihir Shah United States 9 16 0.4× 35 1.6× 4 0.2× 9 0.5× 14 1.0× 17 298
Pietro Abate France 7 54 1.2× 18 0.8× 7 0.4× 3 0.2× 14 1.0× 11 301
Amir Kamran United States 7 311 6.9× 18 0.8× 10 0.5× 16 0.9× 12 0.9× 42 387
Joanna Żywiec Poland 7 69 1.5× 20 0.9× 2 0.1× 19 1.1× 34 2.4× 18 202
Haoran Ding China 11 40 0.9× 78 3.5× 3 0.2× 29 1.7× 23 1.6× 20 264
Priyakshi Mahanta India 6 85 1.9× 75 3.4× 2 0.1× 4 0.2× 6 0.4× 13 234
Leying Guan United States 7 39 0.9× 25 1.1× 6 0.3× 5 0.3× 2 0.1× 20 158
Patrick Duffy United States 5 104 2.3× 159 7.2× 4 0.2× 11 0.6× 7 0.5× 6 241

Countries citing papers authored by Alexandre Aussem

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Aussem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Aussem

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Aussem. A scholar is included among the top collaborators of Alexandre Aussem 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 Alexandre Aussem. Alexandre Aussem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Lefebvre, G., et al.. (2024). A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification. Data & Knowledge Engineering. 150. 102281–102281. 2 indexed citations
2.
Lefebvre, G., et al.. (2023). BERTEPro : A new Sentence Embedding Framework for the Education and Professional Training domain. SPIRE - Sciences Po Institutional REpository. 929–935.
3.
Bonnevay, Stéphane, et al.. (2022). Nonparametric neural topic modeling for customer insight extraction about the tire industry. 2022 International Joint Conference on Neural Networks (IJCNN). 2936. 1–9. 1 indexed citations
4.
Guo, Li, Samia Boukir, & Alexandre Aussem. (2019). Building bagging on critical instances. Expert Systems. 37(2). 4 indexed citations
5.
Magrangeas, Florence, Rowan Kuiper, Hervé Avet‐Loiseau, et al.. (2016). A Genome-Wide Association Study Identifies a Novel Locus for Bortezomib-Induced Peripheral Neuropathy in European Patients with Multiple Myeloma. Clinical Cancer Research. 22(17). 4350–4355. 30 indexed citations
6.
Caillet, Pascal, et al.. (2015). Hip Fracture in the Elderly: A Re-Analysis of the EPIDOS Study with Causal Bayesian Networks. PLoS ONE. 10(3). e0120125–e0120125. 23 indexed citations
7.
Elghazel, Haytham, et al.. (2015). Ensemble Multi-label Classification: A Comparative Study on Threshold Selection and Voting Methods. 377–384. 12 indexed citations
8.
Aussem, Alexandre, et al.. (2011). Analysis of nasopharyngeal carcinoma risk factors with Bayesian networks. Artificial Intelligence in Medicine. 54(1). 53–62. 15 indexed citations
9.
10.
Aussem, Alexandre, et al.. (2008). A novel scalable and correct Markov boundary learning algorithms under faithfulness condition. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
11.
Chainais, Pierre, et al.. (2006). Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system. The European Symposium on Artificial Neural Networks. 659–664. 1 indexed citations
12.
Aussem, Alexandre. (2002). Call admission control in ATM networks with the random neural network. 4. 2482–2487. 3 indexed citations
13.
Hill, David R.C., Patrick Coquillard, Alexandre Aussem, et al.. (2001). Modeling the Ultimate Seaweed Expansion. SIMULATION. 76(2). 126–134. 3 indexed citations
14.
Aussem, Alexandre. (2000). Sufficient conditions for error back flow convergence in dynamical recurrent neural networks. 1. 577–582 vol.4. 1 indexed citations
15.
Murtagh, Fionn, Guojun Zheng, Jonathan Campbell, & Alexandre Aussem. (2000). Neural network modelling for environmental prediction. Neurocomputing. 30(1-4). 65–70. 5 indexed citations
16.
Aussem, Alexandre, Antoine Mahul, & Raymond Marie. (2000). Queueing network modelling with distributed neural networks for service quality estimation in B-ISDN networks. 392–397 vol.5. 5 indexed citations
17.
Aussem, Alexandre. (1999). Neural-based queueing system modelling for service quality estimation in B-ISDN networks. 1999. 970–975. 1 indexed citations
18.

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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