Robert Peharz

21 papers and 377 indexed citations i.

About

Robert Peharz is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Robert Peharz has authored 21 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Robert Peharz’s work include Gaussian Processes and Bayesian Inference (6 papers), Bayesian Modeling and Causal Inference (5 papers) and Machine Learning and Data Classification (5 papers). Robert Peharz is often cited by papers focused on Gaussian Processes and Bayesian Inference (6 papers), Bayesian Modeling and Causal Inference (5 papers) and Machine Learning and Data Classification (5 papers). Robert Peharz collaborates with scholars based in Austria, United Kingdom and Germany. Robert Peharz's co-authors include Franz Pernkopf, Peter B. Marschik, Christa Einspieler, Robert Gens, Pedro Domingos, Florian B. Pokorny, Kristian Kersting, Florentin Wörgötter, Tomas Kulvičius and Karin Nielsen‐Saines and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Robert Peharz i

Fields of papers citing papers by Robert Peharz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Robert Peharz

Since Specialization
Citations

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