Alex Smola

94 papers and 28.0k indexed citations i.

About

Alex Smola is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Alex Smola has authored 94 papers receiving a total of 28.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 39 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in Alex Smola’s work include Neural Networks and Applications (26 papers), Face and Expression Recognition (19 papers) and Machine Learning and Algorithms (15 papers). Alex Smola is often cited by papers focused on Neural Networks and Applications (26 papers), Face and Expression Recognition (19 papers) and Machine Learning and Algorithms (15 papers). Alex Smola collaborates with scholars based in Australia, United States and Germany. Alex Smola's co-authors include Bernhard Schölkopf, Robert C. Williamson, John Shawe‐Taylor, John Platt, Zichao Yang, Xiaodong He, Peter L. Bartlett, Christopher J. C. Burges, Linda Kaufman and Vladimir Vapnik and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.

In The Last Decade

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

Fields of papers citing papers by Alex Smola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alex Smola

Since Specialization
Citations

This map shows the geographic impact of Alex Smola'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 Smola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Smola 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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2025