Martin Szummer

13 papers and 767 indexed citations i.

About

Martin Szummer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Martin Szummer has authored 13 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Martin Szummer’s work include Advanced Image and Video Retrieval Techniques (5 papers), Speech and dialogue systems (4 papers) and Topic Modeling (4 papers). Martin Szummer is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Speech and dialogue systems (4 papers) and Topic Modeling (4 papers). Martin Szummer collaborates with scholars based in United Kingdom, United States and Russia. Martin Szummer's co-authors include Rosalind W. Picard, Carsten Rother, Victor Lempitsky, Vladimir Kolmogorov, Matthew Henderson, Pirros Tsiakoulis, Catherine Breslin, Milica Gašić, B. Thomson and Steve Young and has published in prestigious journals such as 2009 IEEE Conference on Computer Vision and Pattern Recognition, DSpace@MIT (Massachusetts Institute of Technology) and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Martin Szummer i

Fields of papers citing papers by Martin Szummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Szummer

Since Specialization
Citations

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