Leila Arras

About

Leila Arras is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Leila Arras has authored 8 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Leila Arras’s work include Explainable Artificial Intelligence (XAI) (6 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Leila Arras is often cited by papers focused on Explainable Artificial Intelligence (XAI) (6 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Leila Arras collaborates with scholars based in Germany, South Korea and Denmark. Leila Arras's co-authors include Wojciech Samek, Klaus‐Robert Müller, Grégoire Montavon, Franziska Horn, Vignesh Srinivasan, Onyebuchi A. Arah, Naja Hulvej Rod, Piotr Dworzyński, Claus Thorn Ekstrøm and Sebastian Lapuschkin and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Epidemiology.

In The Last Decade

Co-authorship network of co-authors of Leila Arras i

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Fields of papers citing papers by Leila Arras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leila Arras

Since Specialization

Citations

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