Elmar Haußmann

About

Elmar Haußmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Elmar Haußmann has authored 6 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Elmar Haußmann’s work include Advanced Neural Network Applications (4 papers), Machine Learning and Algorithms (3 papers) and Topic Modeling (2 papers). Elmar Haußmann is often cited by papers focused on Advanced Neural Network Applications (4 papers), Machine Learning and Algorithms (3 papers) and Topic Modeling (2 papers). Elmar Haußmann collaborates with scholars based in Germany and United States. Elmar Haußmann's co-authors include Kashyap Chitta, Clément Farabet, Jose M. Álvarez, Michele Fenzi, Björn Buchhold, Hannah Bast, José Manuel González y Fernández Valles and Christoph Angerer and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, KI - Künstliche Intelligenz and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Elmar Haußmann i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Elmar Haußmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elmar Haußmann

Since Specialization

Citations

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