Marco F. Huber

108 papers and 1.2k indexed citations i.

About

Marco F. Huber is a scholar working on Artificial Intelligence, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Marco F. Huber has authored 108 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 42 papers in Control and Systems Engineering and 27 papers in Industrial and Manufacturing Engineering. Recurrent topics in Marco F. Huber’s work include Target Tracking and Data Fusion in Sensor Networks (25 papers), Fault Detection and Control Systems (18 papers) and Robot Manipulation and Learning (17 papers). Marco F. Huber is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (25 papers), Fault Detection and Control Systems (18 papers) and Robot Manipulation and Learning (17 papers). Marco F. Huber collaborates with scholars based in Germany, United Kingdom and United States. Marco F. Huber's co-authors include Uwe D. Hanebeck, Marc-André Zöller, Marc Peter Deisenroth, Hugh Durrant‐Whyte, Tim Bailey, Kilian Kleeberger, Jürgen Beyerer, Michael Teutsch, Thomas Mueller and R.D. Turner and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Sensors.

In The Last Decade

Co-authorship network of co-authors of Marco F. Huber i

Fields of papers citing papers by Marco F. Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco F. Huber. 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 Marco F. Huber. The network helps show where Marco F. Huber may publish in the future.

Countries citing papers authored by Marco F. Huber

Since Specialization
Citations

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