Peter Makarov

1.0k total citations
16 papers, 124 citations indexed

About

Peter Makarov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences. According to data from OpenAlex, Peter Makarov has authored 16 papers receiving a total of 124 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 3 papers in General Social Sciences. Recurrent topics in Peter Makarov's work include Natural Language Processing Techniques (11 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 (11 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, Jasmine Lorenzini, Hanspeter Kriesi, Bruno Wüest, Alexis Moinet, Thomas Drugman, Arnaud Joly, Ray Li, Kyle Gorman and Bora Seo 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

Peter Makarov

16 papers receiving 104 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Makarov Switzerland	7	107	19	10	10	6	16	124
Khalid Almubarak Saudi Arabia	4	183 1.7×	31 1.6×	8 0.8×	7 0.7×	4 0.7×	9	217
Ninareh Mehrabi United States	5	65 0.6×	7 0.4×	3 0.3×	7 0.7×	3 0.5×	14	83
Vera Axelrod United States	5	191 1.8×	15 0.8×	3 0.3×	5 0.5×	6 1.0×	6	210
Piyawat Lertvittayakumjorn United Kingdom	6	105 1.0×	21 1.1×	4 0.4×	9 0.9×	3 0.5×	19	127
Glenn Roe France	6	43 0.4×	19 1.0×	2 0.2×	12 1.2×	15 2.5×	22	98
Marius Mosbach Germany	6	74 0.7×	23 1.2×	4 0.4×	2 0.2×	2 0.3×	16	98
Nanjiang Jiang United States	5	80 0.7×	10 0.5×	3 0.3×	12 1.2×	2 0.3×	6	87
Francis Song United States	3	106 1.0×	16 0.8×	5 0.5×	5 0.5×		4	148
Emanuele Bugliarello Denmark	6	144 1.3×	85 4.5×	2 0.2×	11 1.1×	4 0.7×	15	182
Satish Golla India	3	192 1.8×	31 1.6×	4 0.4×	16 1.6×		5	206

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).

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.

Co-authorship network of co-authors of Peter Makarov

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Makarov. A scholar is included among the top collaborators of Peter Makarov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Makarov. Peter Makarov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Moinet, Alexis, et al.. (2022). CopyCat2: A Single Model for Multi-Speaker TTS and Many-to-Many Fine-Grained Prosody Transfer. Interspeech 2022. 3363–3367. 2 indexed citations

Clematide, Simon, et al.. (2022). CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection Generation. Zurich Open Repository and Archive (University of Zurich). 212–219. 8 indexed citations

Makarov, Peter, et al.. (2022). Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody. Interspeech 2022. 3368–3372. 5 indexed citations

Lorenzini, Jasmine, Hanspeter Kriesi, Peter Makarov, & Bruno Wüest. (2021). Protest Event Analysis: Developing a Semiautomated NLP Approach. American Behavioral Scientist. 66(5). 555–577. 16 indexed citations

Clematide, Simon & Peter Makarov. (2021). CLUZH at SIGMORPHON 2021 Shared Task on Multilingual Grapheme-to-Phoneme Conversion: Variations on a Baseline. Zurich Open Repository and Archive (University of Zurich). 148–153. 4 indexed citations

Clematide, Simon, et al.. (2021). Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion. Zurich Open Repository and Archive (University of Zurich). 115–125. 6 indexed citations

Makarov, Peter & Simon Clematide. (2020). Semi-supervised Contextual Historical Text Normalization. Zurich Open Repository and Archive (University of Zurich). 7284–7295. 5 indexed citations

Makarov, Peter & Simon Clematide. (2020). CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion. Zurich Open Repository and Archive (University of Zurich). 171–176. 9 indexed citations

Makarov, Peter. (2018). Automated Acquisition of Patterns for Coding Political Event Data: Two Case Studies. 103–112. 4 indexed citations

10.

Makarov, Peter & Simon Clematide. (2018). . Zurich Open Repository and Archive (University of Zurich). 69–75. 7 indexed citations

11.

Makarov, Peter & Simon Clematide. (2018). Imitation Learning for Neural Morphological String Transduction. 2877–2882. 20 indexed citations

12.

Makarov, Peter & Simon Clematide. (2018). Neural Transition-based String Transduction for Limited-Resource Setting in Morphology. Zurich Open Repository and Archive (University of Zurich). 83–93. 20 indexed citations

13.

Makarov, Peter & Simon Clematide. (2017). UZH at TAC KBP 2017: Event Nugget Detection via Joint Learning with Softmax-Margin Objective.. Theory and applications of categories. 2 indexed citations

14.

Clematide, Simon & Peter Makarov. (2017). CLUZH at VarDial GDI 2017: Testing a Variety of Machine Learning Tools for the Classification of Swiss German Dialects. Zurich Open Repository and Archive (University of Zurich). 170–177. 9 indexed citations

15.

Makarov, Peter, Jasmine Lorenzini, & Hanspeter Kriesi. (2016). Constructing an Annotated Corpus for Protest Event Mining. Zurich Open Repository and Archive (University of Zurich). 102–107. 5 indexed citations

16.

Makarov, Peter, et al.. (2015). Towards automated protest event analysis. Zurich Open Repository and Archive (University of Zurich). 2 indexed citations

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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