Peter Makarov

15 papers and 111 indexed citations i.

About

Peter Makarov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Peter Makarov has authored 15 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Communication. Recurrent topics in Peter Makarov’s work include Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers) and Speech Recognition and Synthesis (4 papers). Peter Makarov is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers) and Speech Recognition and Synthesis (4 papers). Peter Makarov collaborates with scholars based in Switzerland, Italy and United States. Peter Makarov's co-authors include Simon Clematide, Hanspeter Kriesi, Jasmine Lorenzini, Bruno Wüest, Alexis Moinet, Thomas Drugman, Arnaud Joly, Bora Seo, Ray Li and Kyle Gorman and has published in prestigious journals such as American Behavioral Scientist, Theory and applications of categories and Zurich Open Repository and Archive (University of Zurich).

In The Last Decade

Co-authorship network of co-authors of Peter Makarov i

Fields of papers citing papers by Peter Makarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Makarov

Since Specialization
Citations

This map shows the geographic impact of Peter Makarov'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 Peter Makarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Makarov 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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2025