Johann Großschädl

19 papers and 280 indexed citations i.

About

Johann Großschädl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Johann Großschädl has authored 19 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Johann Großschädl’s work include Cryptographic Implementations and Security (14 papers), Coding theory and cryptography (10 papers) and Cryptography and Data Security (8 papers). Johann Großschädl is often cited by papers focused on Cryptographic Implementations and Security (14 papers), Coding theory and cryptography (10 papers) and Cryptography and Data Security (8 papers). Johann Großschädl collaborates with scholars based in Luxembourg, United Kingdom and Austria. Johann Großschädl's co-authors include Zhe Liu, Kim‐Kwang Raymond Choo, Alex Biryukov, Léo Perrin, Daniel Dinu, Y. Corre, Dmitry Khovratovich, Stefan Tillich, Martin Feldhofer and Thomas Popp and has published in prestigious journals such as IEEE Communications Magazine, Lecture notes in computer science and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Co-authorship network of co-authors of Johann Großschädl i

Fields of papers citing papers by Johann Großschädl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Johann Großschädl

Since Specialization
Citations

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