Bogdan Babych

615 total citations
33 papers, 376 citations indexed

About

Bogdan Babych is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Networks and Communications. According to data from OpenAlex, Bogdan Babych has authored 33 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 7 papers in Language and Linguistics and 1 paper in Computer Networks and Communications. Recurrent topics in Bogdan Babych's work include Natural Language Processing Techniques (32 papers), Topic Modeling (28 papers) and Semantic Web and Ontologies (8 papers). Bogdan Babych is often cited by papers focused on Natural Language Processing Techniques (32 papers), Topic Modeling (28 papers) and Semantic Web and Ontologies (8 papers). Bogdan Babych collaborates with scholars based in United Kingdom, Romania and Germany. Bogdan Babych's co-authors include Anthony Hartley, Serge Sharoff, Reinhard Rapp, Inguna Skadiņa, Paul Rayson, Scott Piao, Patrik Lambert, Paul Clough, Ahmet Aker and Eric Atwell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Linguistica Antverpiensia New Series – Themes in Translation Studies.

In The Last Decade

Bogdan Babych

31 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bogdan Babych United Kingdom 9 361 44 30 24 16 33 376
Silvana Hartmann Germany 8 207 0.6× 30 0.7× 25 0.8× 36 1.5× 3 0.2× 16 237
Żeljko Agić Croatia 14 600 1.7× 62 1.4× 22 0.7× 12 0.5× 65 4.1× 48 634
Florian Laws Germany 8 247 0.7× 33 0.8× 16 0.5× 8 0.3× 11 0.7× 9 277
Pavel Straňák Czechia 8 368 1.0× 18 0.4× 32 1.1× 28 1.2× 39 2.4× 20 399
Alok Ranjan Pal India 7 285 0.8× 15 0.3× 25 0.8× 19 0.8× 17 1.1× 26 308
Scott Farrar United States 7 176 0.5× 49 1.1× 30 1.0× 25 1.0× 8 0.5× 20 201
Daniele Vannella Italy 6 283 0.8× 11 0.3× 34 1.1× 27 1.1× 21 1.3× 8 294
Shruti Rijhwani United States 7 188 0.5× 21 0.5× 13 0.4× 6 0.3× 22 1.4× 17 210
Jean-Pierre Chanod France 6 276 0.8× 18 0.4× 41 1.4× 21 0.9× 10 0.6× 14 309
Jason Smith United States 5 363 1.0× 13 0.3× 38 1.3× 38 1.6× 44 2.8× 9 373

Countries citing papers authored by Bogdan Babych

Since Specialization
Citations

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

Fields of papers citing papers by Bogdan Babych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogdan Babych

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Babych. A scholar is included among the top collaborators of Bogdan Babych 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 Bogdan Babych. Bogdan Babych 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.
Skadiņa, Inguna, et al.. (2019). Using Comparable Corpora for Under-Resourced Areas of Machine Translation. 2 indexed citations
2.
Yuan, Yu, Serge Sharoff, & Bogdan Babych. (2016). MoBiL: A Hybrid Feature Set for Automatic Human Translation Quality Assessment. Language Resources and Evaluation. 3663–3670. 2 indexed citations
3.
Costa‐jussà, Marta R., et al.. (2013). Workshop on Hybrid Approaches to Translation: Overview and Developments. 1–6. 4 indexed citations
4.
Babych, Bogdan, et al.. (2012). Development and Application of a Cross-language Document Comparability Metric. Language Resources and Evaluation. 3956–3962. 5 indexed citations
5.
Rapp, Reinhard, Serge Sharoff, & Bogdan Babych. (2012). Identifying Word Translations from Comparable Documents Without a Seed Lexicon. Language Resources and Evaluation. 460–466. 7 indexed citations
6.
Skadiņa, Inguna, Ahmet Aker, Bogdan Babych, et al.. (2012). Collecting and Using Comparable Corpora for Statistical Machine Translation. Language Resources and Evaluation. 438–445. 22 indexed citations
7.
Pinnis, Mārcis, et al.. (2012). ACCURAT Toolkit for Multi-Level Alignment and Information Extraction from Comparable Corpora. Meeting of the Association for Computational Linguistics. 91–96. 11 indexed citations
8.
Costa‐jussà, Marta R., Patrik Lambert, Rafael E. Banchs, Reinhard Rapp, & Bogdan Babych. (2012). Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra). 5 indexed citations
9.
Babych, Bogdan, Anthony Hartley, & Serge Sharoff. (2009). Evaluation-guided pre-editing of source text: improving MT-tractability of light verb constructions. 3 indexed citations
10.
Babych, Bogdan & Anthony Hartley. (2008). Sensitivity of Automated MT Evaluation Metrics on Higher Quality MT Output: BLEU vs Task-Based Evaluation Methods. Language Resources and Evaluation. 3 indexed citations
11.
Babych, Bogdan, Serge Sharoff, & Anthony Hartley. (2008). Generalising Lexical Translation Strategies for MT Using Comparable Corpora. Language Resources and Evaluation. 2 indexed citations
12.
Babych, Bogdan, et al.. (2007). Assisting Translators in Indirect Lexical Transfer. Meeting of the Association for Computational Linguistics. 136–143. 7 indexed citations
13.
Sharoff, Serge, Bogdan Babych, & Anthony Hartley. (2007). ‘Irrefragable answers’ using comparable corpora to retrieve translation equivalents. Language Resources and Evaluation. 43(1). 15–25. 3 indexed citations
14.
Sharoff, Serge, Bogdan Babych, & Anthony Hartley. (2006). Using collocations from comparable corpora to find translation equivalents. Language Resources and Evaluation. 465–470. 3 indexed citations
15.
Sharoff, Serge, et al.. (2006). ASSIST. 139–139. 5 indexed citations
16.
Babych, Bogdan, et al.. (2004). Calibrating Resource-light Automatic MT Evaluation: a Cheap Approach to Ranking MT Systems by the Usability of Their Output.. Language Resources and Evaluation. 2 indexed citations
17.
Babych, Bogdan & Anthony Hartley. (2004). Modelling Legitimate Translation Variation for Automatic Evaluation of MT Quality. Language Resources and Evaluation. 8 indexed citations
18.
Babych, Bogdan, et al.. (2004). Extending MT evaluation tools with translation complexity metrics. 106–es. 5 indexed citations
19.
Babych, Bogdan & Anthony Hartley. (2003). Comparative Evaluation of Automatic Named Entity Recognition from Machine Translation Output. 3 indexed citations
20.
Babych, Bogdan, et al.. (2003). Statistical modelling of MT output corpora for information extraction. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 7 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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