Peter Makarov
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Authorship Attribution and Profiling
- Sentiment Analysis and Opinion Mining
- General Social Sciences top 10%
Papers in
-
- Natural Language Processing Techniques 13
- Topic Modeling 12
- Speech Recognition and Synthesis 4
- Speech and dialogue systems 2
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- Computational and Text Analysis Methods 3
- Co-authors
- Simon Clematide (12 shared papers)Jasmine Lorenzini (4 shared papers)Hanspeter Kriesi (2 shared papers)Bruno Wüest (3 shared papers)Alexis Moinet (2 shared papers)Arnaud Joly (1 shared paper)Thomas Drugman (2 shared papers)Sean James Miller (1 shared paper)
- Journals
- Theory and applications of categories (1 paper)American Behavioral Scientist (1 paper)Interspeech 2022 (2 papers)Cambridge University Press eBooks (1 paper)Zurich Open Repository and Archive (University of Zurich) (13 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Peter Makarov
19 papers receiving 159 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 164
- General Social Sciences 7
- Computer Vision and Pattern Recognition 38
- Language and Linguistics 7
- Linguistics and Language 3
Countries citing papers authored by Peter Makarov
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).
Fields of papers citing papers by Peter Makarov
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.
Co-authors
The 11 scholars most cited alongside Peter Makarov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 36 | |
| 2 | 2018 | 23 | |
| 3 | 2018 | 23 | |
| 4 | 2021 | 18 | |
| 5 | 2018 | 13 | |
| 6 | 2017 | 11 | |
| 7 | 2020 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2016 | 5 | |
| 13 | UZH at TAC KBP 2017: Event Nugget Detection via Joint Learning with Softmax-Margin Objective. | 2017 | 4 |
| 14 | Automated Acquisition of Patterns for Coding Political Event Data: Two Case Studies | 2018 | 4 |
| 15 | 2021 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2020 | 1 |
About Peter Makarov
Peter Makarov is a scholar working on Artificial Intelligence, General Social Sciences, Computer Vision and Pattern Recognition, Communication and Cultural Studies, having authored 19 papers that have together received 184 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers), Speech Recognition and Synthesis (4 papers), Computational and Text Analysis Methods (3 papers), Multimodal Machine Learning Applications (3 papers), Handwritten Text Recognition Techniques (2 papers), Social Media and Politics (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (164 citations), General Social Sciences (7 citations), Computer Vision and Pattern Recognition (38 citations), Language and Linguistics (7 citations) and Linguistics and Language (3 citations). Peter Makarov has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Simon Clematide, Jasmine Lorenzini, Hanspeter Kriesi, Bruno Wüest, Alexis Moinet, Arnaud Joly, Thomas Drugman, Sean James Miller, Kyle Gorman and Ray Li. Their work appears in journals such as Theory and applications of categories, American Behavioral Scientist, Interspeech 2022, Cambridge University Press eBooks and Zurich Open Repository and Archive (University of Zurich).
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.