Bernhard G. Humm

28 papers and 121 indexed citations i.

About

Bernhard G. Humm is a scholar working on Artificial Intelligence, Management Information Systems and Industrial and Manufacturing Engineering. According to data from OpenAlex, Bernhard G. Humm has authored 28 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Management Information Systems and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Bernhard G. Humm’s work include Semantic Web and Ontologies (6 papers), Business Process Modeling and Analysis (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Bernhard G. Humm is often cited by papers focused on Semantic Web and Ontologies (6 papers), Business Process Modeling and Analysis (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Bernhard G. Humm collaborates with scholars based in Germany, France and United Kingdom. Bernhard G. Humm's co-authors include Thomas Hoppe, Kawa Nazemi, Andreas Heß, Christian Schulz, Erwin Tegtmeier, Günter Warnecke, Jan C. Schmidt, Melanie Siegel, Matthias Hemmje and Tobias Vogel and has published in prestigious journals such as Sensors, Computers in Industry and Electronics.

In The Last Decade

Co-authorship network of co-authors of Bernhard G. Humm i

Fields of papers citing papers by Bernhard G. Humm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernhard G. Humm. 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 Bernhard G. Humm. The network helps show where Bernhard G. Humm may publish in the future.

Countries citing papers authored by Bernhard G. Humm

Since Specialization
Citations

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