Dasha Bogdanova

585 total citations
10 papers, 373 citations indexed

About

Dasha Bogdanova is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Dasha Bogdanova has authored 10 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 1 paper in Communication. Recurrent topics in Dasha Bogdanova's work include Natural Language Processing Techniques (6 papers), Authorship Attribution and Profiling (5 papers) and Topic Modeling (5 papers). Dasha Bogdanova is often cited by papers focused on Natural Language Processing Techniques (6 papers), Authorship Attribution and Profiling (5 papers) and Topic Modeling (5 papers). Dasha Bogdanova collaborates with scholars based in Ireland, Spain and United States. Dasha Bogdanova's co-authors include Jennifer Foster, Bianca Zadrozny, Cícero dos Santos, Luciano Barbosa, Thamar Solorio, Paolo Rosso, Joachim Wagner, Santiago Cortés, Piyush Arora and Lamia Tounsi and has published in prestigious journals such as Language Resources and Evaluation, Computer Speech & Language and Meeting of the Association for Computational Linguistics.

In The Last Decade

Dasha Bogdanova

10 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dasha Bogdanova Ireland	8	345	136	33	19	11	10	373
Nobuhiro Kaji Japan	10	428 1.2×	69 0.5×	21 0.6×	15 0.8×	16 1.5×	35	449
Mohammed Albared Malaysia	8	250 0.7×	75 0.6×	26 0.8×	7 0.4×	8 0.7×	19	294
Johann Roturier Ireland	11	297 0.9×	68 0.5×	38 1.2×	20 1.1×	3 0.3×	37	377
Ilia Markov Mexico	10	207 0.6×	56 0.4×	18 0.5×	11 0.6×	17 1.5×	38	249
Carole E. Chaski United States	5	251 0.7×	117 0.9×	36 1.1×	12 0.6×	9 0.8×	11	304
Rianne Kaptein Netherlands	10	170 0.5×	116 0.9×	15 0.5×	18 0.9×	17 1.5×	29	219
Ghazaleh Beigi United States	7	138 0.4×	62 0.5×	77 2.3×	14 0.7×	13 1.2×	14	195
Niklas Jakob Germany	6	483 1.4×	155 1.1×	58 1.8×	12 0.6×	10 0.9×	6	514
Carmine Cesarano Italy	5	226 0.7×	73 0.5×	31 0.9×	10 0.5×	9 0.8×	15	263
Yohei Seki Japan	9	334 1.0×	90 0.7×	22 0.7×	15 0.8×	8 0.7×	39	369

Countries citing papers authored by Dasha Bogdanova

Since Specialization

Citations

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

Fields of papers citing papers by Dasha Bogdanova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dasha Bogdanova

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

All Works

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10 of 10 papers shown

1.

Bogdanova, Dasha, et al.. (2017). If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking. 121–131. 5 indexed citations

2.

Bogdanova, Dasha & Jennifer Foster. (2016). This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering. 1290–1295. 12 indexed citations

3.

Bogdanova, Dasha, Cícero dos Santos, Luciano Barbosa, & Bianca Zadrozny. (2015). Detecting Semantically Equivalent Questions in Online User Forums. 123–131. 43 indexed citations

4.

Santos, Cícero dos, Luciano Barbosa, Dasha Bogdanova, & Bianca Zadrozny. (2015). Learning Hybrid Representations to Retrieve Semantically Equivalent Questions. 694–699. 61 indexed citations

5.

Bogdanova, Dasha & Angeliki Lazaridou. (2014). Cross-Language Authorship Attribution. Language Resources and Evaluation. 2015–2020. 15 indexed citations

6.

Wagner, Joachim, Piyush Arora, Santiago Cortés, et al.. (2014). DCU: Aspect-based Polarity Classification for SemEval Task 4. 223–229. 161 indexed citations

7.

Bogdanova, Dasha, Paolo Rosso, & Thamar Solorio. (2013). Exploring high-level features for detecting cyberpedophilia. Computer Speech & Language. 28(1). 108–120. 39 indexed citations

8.

Bogdanova, Dasha, Paolo Rosso, & Thamar Solorio. (2012). On the Impact of Sentiment and Emotion Based Features in Detecting Online Sexual Predators. Meeting of the Association for Computational Linguistics. 110–118. 20 indexed citations

9.

Bogdanova, Dasha, Paolo Rosso, & Thamar Solorio. (2012). Modelling Fixated Discourse in Chats with Cyberpedophiles. 86–90. 16 indexed citations

10.

Bogdanova, Dasha. (2011). Extraction of High-Level Semantically Rich Features from Natural Language Text.. 262–271. 1 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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