Alex Aussem

24 papers and 424 indexed citations i.

About

Alex Aussem is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alex Aussem has authored 24 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alex Aussem’s work include Neural Networks and Applications (6 papers), Bayesian Modeling and Causal Inference (5 papers) and Machine Learning and Data Classification (5 papers). Alex Aussem is often cited by papers focused on Neural Networks and Applications (6 papers), Bayesian Modeling and Causal Inference (5 papers) and Machine Learning and Data Classification (5 papers). Alex Aussem collaborates with scholars based in France, United Kingdom and Germany. Alex Aussem's co-authors include Haytham Elghazel, Fionn Murtagh, Maxime Gasse, M. Sarazin, Fionn Murtagh, David A. Hill, Marilys Corbex, David R.C. Hill, André Tchernof and Sophie Rome and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Alex Aussem i

Fields of papers citing papers by Alex Aussem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alex Aussem

Since Specialization
Citations

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

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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