Evgeny A. Stepanov

29 papers receiving 253 citations

Peers

Evgeny A. Stepanov
Comparison fields: 5 of 64
  • Artificial Intelligence 146
  • Electrical and Electronic Engineering 55
  • Experimental and Cognitive Psychology 28
  • Astronomy and Astrophysics 27
  • Applied Mathematics 22
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Marisa Michelini Italy
Michael Darnell United States
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Citations per year

Countries citing papers authored by Evgeny A. Stepanov

Since Specialization
Citations

This map shows the geographic impact of Evgeny A. Stepanov'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 Evgeny A. Stepanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgeny A. Stepanov more than expected).

Fields of papers citing papers by Evgeny A. Stepanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evgeny A. Stepanov. 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 Evgeny A. Stepanov. The network helps show where Evgeny A. Stepanov may publish in the future.

Co-authorship network of co-authors of Evgeny A. Stepanov

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny A. Stepanov. A scholar is included among the top collaborators of Evgeny A. Stepanov 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 Evgeny A. Stepanov. Evgeny A. Stepanov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 10
3 6
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6
The Social Mood of News: Self-reported Annotations to Design Automatic Mood Detection Systems
3
7
Predicting Brexit: Classifying Agreement is Better than Sentiment and Pollsters
13
8
Summarizing Behaviours: An Experiment on the Annotation of Call-Centre Conversations
1
9
Transfer of corpus-specific dialogue act annotation to ISO standard: is it worth it?
8
10 3
11 8
12 12
13 12
14 7
15
The Development of the Multilingual LUNA Corpus for Spoken Language System Porting
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16 4
17 9
18
Comparative Evaluation of Argument Extraction Algorithms in Discourse Relation Parsing
8
19 2
20 64

About Evgeny A. Stepanov

Evgeny A. Stepanov is a scholar working on Artificial Intelligence, Computer Science Applications and General Social Sciences, having authored 29 papers that have together received 282 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Speech and dialogue systems (12 papers). The work is most often cited by research in Artificial Intelligence (146 citations), Experimental and Cognitive Psychology (28 citations) and Applied Mathematics (22 citations). Evgeny A. Stepanov has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Giuseppe Riccardi, Shammur Absar Chowdhury, Morena Danieli, Firoj Alam, Fabio Celli, Massimo Poesio, Matthew D. Lerner, Emilio Sanchís, Tessa Clarkson and Christian C. Luhmann. Their work appears in journals such as Language Resources and Evaluation, Journal of Spacecraft and Rockets and Computer Speech & Language.

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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