Alexandre Aussem

472 citations
39 papers · 358 · h-index 8

Impact in

Papers in

Alexandre Aussem

37 papers receiving 332 citations

Peers

Alexandre Aussem
Comparison fields: 5 of 90
  • Environmental Engineering 81
  • Artificial Intelligence 134
  • Water Science and Technology 45
  • Management Science and Operations Research 39
  • Signal Processing 30
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wavelet-based feature extraction and decomposition strategies for financial forecasting
1998136
2 201637
3 201529
4 201921
5 201517
6 201116
7
A Neuro-Wavelet Strategy for Web Traffic Forecasting
199812
8 199411
9 20246
10 20196
11 20076
12
Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification
20086
13 20166
14 20005
15 20005
16 19984
17
e-functional dependency inference: application to DNA microarray expression data
20024
18 20013
19
A novel scalable and correct Markov boundary learning algorithms under faithfulness condition
20083
20 20023

About Alexandre Aussem

Alexandre Aussem is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Information Systems and Computational Theory and Mathematics, having authored 39 papers that have together received 358 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Data Mining Algorithms and Applications (6 papers), Topic Modeling (5 papers), Image and Signal Denoising Methods (4 papers), Bayesian Modeling and Causal Inference (4 papers), Rough Sets and Fuzzy Logic (4 papers), Network Traffic and Congestion Control (4 papers) and Advanced Queuing Theory Analysis (3 papers). The work is most often cited by research in Environmental Engineering (81 citations), Artificial Intelligence (134 citations), Water Science and Technology (45 citations), Management Science and Operations Research (39 citations) and Signal Processing (30 citations). Alexandre Aussem has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Fionn D. Murtagh, Jonathan G. Campbell, Haytham Elghazel, Marilys Anne Corbex, Anne‐Marie Schott, Michel Ducher, Pascal Caillet, Véronique Églin, Fionn D. Murtagh and Marc S. Sarazin. Their work appears in journals such as Artificial Intelligence in Medicine, Data & Knowledge Engineering, Neurocomputing, Clinical Cancer Research and PLoS ONE.

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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