Allou Samé

29 papers receiving 376 citations

Peers

Allou Samé
Comparison fields: 5 of 83
  • Statistics and Probability 40
  • Artificial Intelligence 154
  • Renewable Energy, Sustainability and the Environment 73
  • Signal Processing 46
  • Physical Therapy, Sports Therapy and Rehabilitation 17
Replace Xiaodan Xu with:
Xiaodan Xu China
Yuepeng Chen China
Muddu Madakyaru India
Seungwon Jung South Korea
Dahua Gan China
Téodor Tiplica France
Chudong Tong China
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Xifeng Guo China
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Allou Samé relative to Xiaodan Xu China Xiaodan Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Allou Samé

Since Specialization
Citations

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

Fields of papers citing papers by Allou Samé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202039
2 201438
3 201733
4 201632
5 201032
6 201031
7 200930
8 201723
9 202215
10 200713
11 201312
12 202112
13 201811
14 200910
15 202110
16 20169
17 20056
18 20165
19 20085
20 20185

About Allou Samé

Allou Samé is a scholar working on Signal Processing, Transportation, Artificial Intelligence, Analytical Chemistry and Building and Construction, having authored 30 papers that have together received 388 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Time Series Analysis and Forecasting (6 papers), Anomaly Detection Techniques and Applications (6 papers), Fault Detection and Control Systems (4 papers), Human Mobility and Location-Based Analysis (4 papers), Neural Networks and Applications (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Statistics and Probability (40 citations), Artificial Intelligence (154 citations), Renewable Energy, Sustainability and the Environment (73 citations), Signal Processing (46 citations) and Physical Therapy, Sports Therapy and Rehabilitation (17 citations). Allou Samé has collaborated with scholars based in France, Tanzania and South Korea. Frequent co-authors include Latifa Oukhellou, Gérard Govaert, Patrice Aknin, Faïcel Chamroukhi, Yacine Amirat, Christophe Ambroise, Kyoungchul Kong, Bernard Multon, Loïc Quéval and Simon Meunier. Their work appears in journals such as Neurocomputing, IEEE Transactions on Intelligent Transportation Systems, Computational Statistics & Data Analysis, Statistics and Computing and Advances in Data Analysis and Classification.

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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