Anna Gladkova

716 total citations
9 papers, 291 citations indexed

About

Anna Gladkova is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Cultural Studies. According to data from OpenAlex, Anna Gladkova has authored 9 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Experimental and Cognitive Psychology and 2 papers in Cultural Studies. Recurrent topics in Anna Gladkova's work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (3 papers). Anna Gladkova is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (3 papers). Anna Gladkova collaborates with scholars based in Japan, Australia and Russia. Anna Gladkova's co-authors include Aleksandr Drozd, Satoshi Matsuoka, Jesús Romero‐Trillo, Alessandro Lenci, Stefan Evert, Enrico Santus and Cristina Soriano and has published in prestigious journals such as Journal of Pragmatics, Review of Cognitive Linguistics and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Anna Gladkova

9 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Gladkova Japan	7	222	35	34	28	18	9	291
Shu‐Kai Hsieh Taiwan	7	184 0.8×	25 0.7×	32 0.9×	9 0.3×	19 1.1×	52	237
Aurélie Herbelot Italy	9	204 0.9×	14 0.4×	19 0.6×	26 0.9×	11 0.6×	35	238
Johannes Bjerva Denmark	12	325 1.5×	30 0.9×	14 0.4×	11 0.4×	12 0.7×	46	364
Ján Mačutek Slovakia	9	135 0.6×	15 0.4×	43 1.3×	36 1.3×	16 0.9×	42	223
Alexis Palmer Germany	14	417 1.9×	51 1.5×	47 1.4×	12 0.4×	8 0.4×	57	484
Verna Dankers Netherlands	9	228 1.0×	53 1.5×	11 0.3×	9 0.3×	10 0.6×	14	270
Alexander Koplenig Germany	11	180 0.8×	23 0.7×	124 3.6×	117 4.2×	19 1.1×	35	324
Gabriella Lapesa Germany	9	160 0.7×	12 0.3×	30 0.9×	14 0.5×	13 0.7×	29	198
Stefanie Dipper Germany	13	475 2.1×	26 0.7×	124 3.6×	9 0.3×	18 1.0×	50	551
Christo Kirov United States	10	323 1.5×	33 0.9×	30 0.9×	35 1.3×	13 0.7×	20	368

Countries citing papers authored by Anna Gladkova

Since Specialization

Citations

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

Fields of papers citing papers by Anna Gladkova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Gladkova

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

All Works

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9 of 9 papers shown

Drozd, Aleksandr, Anna Gladkova, & Satoshi Matsuoka. (2016). Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen.. IT University Of Copenhagen (IT University of Copenhagen). 3519–3530. 67 indexed citations

Santus, Enrico, Anna Gladkova, Stefan Evert, & Alessandro Lenci. (2016). The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations. CINECA IRIS Institutial research information system (University of Pisa). 69–79. 14 indexed citations

Soriano, Cristina, et al.. (2016). Methodological triangulation in the study of emotion. Review of Cognitive Linguistics. 14(1). 73–101. 6 indexed citations

Gladkova, Anna & Aleksandr Drozd. (2016). Intrinsic Evaluations of Word Embeddings: What Can We Do Better?. IT University Of Copenhagen (IT University of Copenhagen). 36–42. 49 indexed citations

Gladkova, Anna, Aleksandr Drozd, & Satoshi Matsuoka. (2016). Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.. Research at the University of Copenhagen (University of Copenhagen). 8–15. 103 indexed citations

Drozd, Aleksandr, Anna Gladkova, & Satoshi Matsuoka. (2015). Python, performance, and natural language processing. IT University Of Copenhagen (IT University of Copenhagen). 1–10. 5 indexed citations

Drozd, Aleksandr, Anna Gladkova, & Satoshi Matsuoka. (2015). Discovering Aspectual Classes of Russian Verbs in Untagged Large Corpora. IT University Of Copenhagen (IT University of Copenhagen). 61–68. 5 indexed citations

Gladkova, Anna & Jesús Romero‐Trillo. (2013). Ain’t it beautiful? The conceptualization of beauty from an ethnopragmatic perspective. Journal of Pragmatics. 60. 140–159. 28 indexed citations

Gladkova, Anna. (2013). “Is he one of ours?” The cultural semantics and ethnopragmatics of social categories in Russian. Journal of Pragmatics. 55. 180–194. 14 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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