Elmar Haußmann

4 papers and 11 indexed citations
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About

Elmar Haußmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Elmar Haußmann has authored 4 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Molecular Biology. Recurrent topics in Elmar Haußmann’s work include Semantic Web and Ontologies (2 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and Algorithms (1 paper). Elmar Haußmann is often cited by papers focused on Semantic Web and Ontologies (2 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and Algorithms (1 paper). Elmar Haußmann collaborates with scholars based in Germany. Elmar Haußmann's co-authors include Hannah Bast, Björn Buchhold, Clément Farabet, Kashyap Chitta, José M. Alvarez, Christoph Angerer and José Manuel González y Fernández Valles and has published in prestigious journals such as KI - Künstliche Intelligenz, arXiv (Cornell University) and now publishers, Inc. eBooks.

In The Last Decade

Co-authorship network of co-authors of Elmar Haußmann

This figure shows the co-authorship network connecting the top 25 collaborators of Elmar Haußmann. A scholar is included among the top collaborators of Elmar Haußmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elmar Haußmann. Elmar Haußmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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.

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