Helmut Schmid

46 papers and 754 indexed citations i.

About

Helmut Schmid is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Helmut Schmid has authored 46 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Helmut Schmid’s work include Natural Language Processing Techniques (40 papers), Topic Modeling (36 papers) and Speech and dialogue systems (9 papers). Helmut Schmid is often cited by papers focused on Natural Language Processing Techniques (40 papers), Topic Modeling (36 papers) and Speech and dialogue systems (9 papers). Helmut Schmid collaborates with scholars based in Germany, United Kingdom and Hungary. Helmut Schmid's co-authors include Hinrich Schütze, Alexander Fraser, Nadir Durrani, Timo Schick, Ulrich Heid, Hassan Sajjad, Norbert Eisenreich, Klaus Horstmann, Philipp Koehn and Richàrd Farkas and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Propellants Explosives Pyrotechnics.

In The Last Decade

Co-authorship network of co-authors of Helmut Schmid i

Fields of papers citing papers by Helmut Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Helmut Schmid

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025