Rainer Hoch

9 papers and 106 indexed citations i.

About

Rainer Hoch is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Rainer Hoch has authored 9 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Rainer Hoch’s work include Handwritten Text Recognition Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Algorithms and Data Compression (3 papers). Rainer Hoch is often cited by papers focused on Handwritten Text Recognition Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Algorithms and Data Compression (3 papers). Rainer Hoch collaborates with scholars based in Germany. Rainer Hoch's co-authors include Andreas Dengel, Markus Junker and Thomas Kieninger and has published in prestigious journals such as Computer, Machine Vision and Applications and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

Co-authorship network of co-authors of Rainer Hoch i

Fields of papers citing papers by Rainer Hoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rainer Hoch

Since Specialization
Citations

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