Roman Yangarber

2.5k total citations
76 papers, 1.3k citations indexed

About

Roman Yangarber is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Roman Yangarber has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 15 papers in Information Systems and 12 papers in Molecular Biology. Recurrent topics in Roman Yangarber's work include Natural Language Processing Techniques (44 papers), Topic Modeling (37 papers) and Web Data Mining and Analysis (11 papers). Roman Yangarber is often cited by papers focused on Natural Language Processing Techniques (44 papers), Topic Modeling (37 papers) and Web Data Mining and Analysis (11 papers). Roman Yangarber collaborates with scholars based in Finland, United States and Italy. Roman Yangarber's co-authors include Ralph Grishman, Silja Huttunen, Pasi Tapanainen, Jakub Piskorski, Thierry Poibeau, Horacio Saggion, Lidia Pivovarova, Nigel Collier, Jens P. Linge and David Hartley and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Microbiology and Infection.

In The Last Decade

Roman Yangarber

71 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roman Yangarber Finland 20 954 342 250 185 101 76 1.3k
Mathieu Roche France 15 496 0.5× 232 0.7× 139 0.6× 131 0.7× 54 0.5× 160 908
Shunxiang Zhang China 14 351 0.4× 115 0.3× 194 0.8× 29 0.2× 36 0.4× 86 953
Csongor Nyulas United States 13 519 0.5× 182 0.5× 69 0.3× 517 2.8× 68 0.7× 30 864
Asanee Kawtrakul Thailand 12 237 0.2× 111 0.3× 142 0.6× 114 0.6× 16 0.2× 62 506
Reid Priedhorsky United States 18 136 0.1× 224 0.7× 300 1.2× 69 0.4× 18 0.2× 34 1.1k
Ranjan Kumar Behera India 13 325 0.3× 111 0.3× 109 0.4× 142 0.8× 62 0.6× 44 779
Mehmet Ercan Nergiz Türkiye 16 827 0.9× 86 0.3× 53 0.2× 155 0.8× 100 1.0× 22 1.2k
Guido Zuccon Australia 22 1.1k 1.2× 479 1.4× 32 0.1× 445 2.4× 143 1.4× 193 1.7k
Jeremy U. Espino United States 16 241 0.3× 38 0.1× 725 2.9× 250 1.4× 46 0.5× 30 1.0k
Dirk Janssens Belgium 20 271 0.3× 180 0.5× 27 0.1× 56 0.3× 23 0.2× 98 1.7k

Countries citing papers authored by Roman Yangarber

Since Specialization
Citations

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

Fields of papers citing papers by Roman Yangarber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Yangarber

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Yangarber. A scholar is included among the top collaborators of Roman Yangarber 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 Roman Yangarber. Roman Yangarber 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
1.
2.
Yangarber, Roman, et al.. (2023). Grammatical Error Correction for Sentence-level Assessment in Language Learning. 488–502. 3 indexed citations
3.
Yangarber, Roman, et al.. (2021). Assessing Grammatical Correctness in Language Learning. Työväentutkimus Vuosikirja. 135–146. 5 indexed citations
4.
Piskorski, Jakub, et al.. (2019). The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages. Digital Library (University of West Bohemia). 63–74. 19 indexed citations
5.
Yangarber, Roman, et al.. (2018). Digital cultural heritage and revitalization of endangered Finno-Ugric languages. SHILAP Revista de lepidopterología. 1(1). 111–121. 3 indexed citations
6.
Pivovarova, Lidia, Arto Klami, & Roman Yangarber. (2018). Benchmarks and models for entity-oriented polarity detection. Työväentutkimus Vuosikirja. 129–136. 1 indexed citations
7.
Yangarber, Roman, et al.. (2016). A Novel Evaluation Method for Morphological Segmentation.. Language Resources and Evaluation. 3102–3109. 1 indexed citations
8.
Yangarber, Roman, et al.. (2015). Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction. Työväentutkimus Vuosikirja. 30–39. 2 indexed citations
9.
Yangarber, Roman, et al.. (2014). Measuring Language Closeness by Modeling Regularity. 56–65. 1 indexed citations
10.
Pivovarova, Lidia, et al.. (2013). Automatic Detection of Stable Grammatical Features in N-Grams. Työväentutkimus Vuosikirja. 73–81. 4 indexed citations
11.
Pivovarova, Lidia, Silja Huttunen, & Roman Yangarber. (2013). Event representation across genre. Työväentutkimus Vuosikirja. 29–37. 7 indexed citations
12.
Hartley, David, Noele P. Nelson, Ray R. Arthur, et al.. (2013). An overview of Internet biosurveillance. Clinical Microbiology and Infection. 19(11). 1006–1013. 49 indexed citations
13.
Barboza, Philippe, L Vaillant, Abla Mawudeku, et al.. (2013). Evaluation of Epidemic Intelligence Systems Integrated in the Early Alerting and Reporting Project for the Detection of A/H5N1 Influenza Events. PLoS ONE. 8(3). e57252–e57252. 66 indexed citations
14.
Yangarber, Roman, et al.. (2011). MDL-based Models for Alignment of Etymological Data. Recent Advances in Natural Language Processing. 111–117. 7 indexed citations
15.
Huttunen, Silja, et al.. (2010). Assessment of Utility in Web Mining for the Domain of Public Health. North American Chapter of the Association for Computational Linguistics. 27(4). 29–37. 13 indexed citations
16.
Yangarber, Roman, et al.. (2010). MedISys - Medical Information System. Zurich Open Repository and Archive (University of Zurich). 131–142. 10 indexed citations
17.
Huttunen, Silja, Roman Yangarber, & Ralph Grishman. (2002). Diversity of scenarios in information extraction. Language Resources and Evaluation. 44(1). 171–80. 18 indexed citations
18.
Grishman, Ralph, Silja Huttunen, & Roman Yangarber. (2002). Information extraction for enhanced access to disease outbreak reports. Journal of Biomedical Informatics. 35(4). 236–246. 70 indexed citations
19.
Yangarber, Roman & Ralph Grishman. (2000). Extraction Pattern Discovery through Corpus Analysis. Language Resources and Evaluation. 31–35. 4 indexed citations
20.
Meyers, Adam, et al.. (1998). Using NOMLEX to Produce Nominalization Patterns for Information Extraction. Meeting of the Association for Computational Linguistics. 25 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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