Christian Szegedy

28 papers and 54.3k indexed citations i.

About

Christian Szegedy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Christian Szegedy has authored 28 papers receiving a total of 54.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Theory and Mathematics. Recurrent topics in Christian Szegedy’s work include Natural Language Processing Techniques (6 papers), VLSI and FPGA Design Techniques (5 papers) and Topic Modeling (5 papers). Christian Szegedy is often cited by papers focused on Natural Language Processing Techniques (6 papers), VLSI and FPGA Design Techniques (5 papers) and Topic Modeling (5 papers). Christian Szegedy collaborates with scholars based in United States, Germany and Czechia. Christian Szegedy's co-authors include Vincent Vanhoucke, Sergey Ioffe, Dumitru Erhan, Zbigniew Wojna, Jon Shlens, Dragomir Anguelov, Andrew Rabinovich, Scott Reed, Yangqing Jia and Pierre Sermanet and has published in prestigious journals such as Discrete Applied Mathematics, ACM SIGPLAN Notices and Computational Optimization and Applications.

In The Last Decade

Co-authorship network of co-authors of Christian Szegedy i

Fields of papers citing papers by Christian Szegedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christian Szegedy

Since Specialization
Citations

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