Anna Feldman

668 total citations
44 papers, 338 citations indexed

About

Anna Feldman is a scholar working on Artificial Intelligence, Language and Linguistics and Sociology and Political Science. According to data from OpenAlex, Anna Feldman has authored 44 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 6 papers in Language and Linguistics and 4 papers in Sociology and Political Science. Recurrent topics in Anna Feldman's work include Natural Language Processing Techniques (30 papers), Topic Modeling (15 papers) and Hate Speech and Cyberbullying Detection (8 papers). Anna Feldman is often cited by papers focused on Natural Language Processing Techniques (30 papers), Topic Modeling (15 papers) and Hate Speech and Cyberbullying Detection (8 papers). Anna Feldman collaborates with scholars based in United States, Czechia and United Kingdom. Anna Feldman's co-authors include Jirka Hana, Jing Peng, C. Brew, Ekaterina Vylomova, Serge Sharoff, Tomaž Erjavec, Dagmar Divjak, Eileen Fitzpatrick, Luiz Amaral and Aparna S. Varde and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Human Pathology.

In The Last Decade

Anna Feldman

41 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Feldman United States 11 301 51 31 25 22 44 338
E.F. Tjong Kim Sang Netherlands 7 237 0.8× 34 0.7× 33 1.1× 13 0.5× 20 0.9× 23 296
Mariona Taulé Spain 12 572 1.9× 86 1.7× 44 1.4× 26 1.0× 7 0.3× 56 631
Ines Rehbein Germany 12 401 1.3× 53 1.0× 29 0.9× 11 0.4× 22 1.0× 58 449
Ioan-Iovitz Popescu Romania 10 153 0.5× 48 0.9× 28 0.9× 24 1.0× 11 0.5× 37 272
Shu‐Kai Hsieh Taiwan 7 184 0.6× 32 0.6× 18 0.6× 12 0.5× 10 0.5× 52 237
Alexis Palmer Germany 14 417 1.4× 47 0.9× 35 1.1× 8 0.3× 37 1.7× 57 484
Eckhard Bick South Korea 9 336 1.1× 68 1.3× 21 0.7× 8 0.3× 7 0.3× 57 370
Noam Ordan Israel 8 323 1.1× 101 2.0× 15 0.5× 7 0.3× 22 1.0× 20 369
Veronika Laippala Finland 9 225 0.7× 32 0.6× 15 0.5× 11 0.4× 8 0.4× 35 276
Wolfgang Lezius Germany 8 245 0.8× 57 1.1× 17 0.5× 6 0.2× 13 0.6× 12 277

Countries citing papers authored by Anna Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Anna Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Feldman. A scholar is included among the top collaborators of Anna Feldman 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 Feldman. Anna Feldman 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.
Calvo, Hiram, et al.. (2024). Doctor or AI? Efficient Neural Network for Response Classification in Health Consultations. IEEE Access. 12. 142944–142956. 1 indexed citations
4.
Shaar, Shaden, Firoj Alam, Giovanni Da San Martino, et al.. (2021). Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection. Research Padua Archive (University of Padua). 82–92. 14 indexed citations
5.
Feldman, Anna, et al.. (2018). Designing a Russian Idiom-Annotated Corpus. Language Resources and Evaluation. 3 indexed citations
6.
Peng, Jing, et al.. (2018). A Distributional Semantics Model for Idiom Detection - The Case of English and Russian. 675–682. 2 indexed citations
7.
Peng, Jing, et al.. (2015). Classifying Idiomatic and Literal Expressions Using Vector Space Representations. Recent Advances in Natural Language Processing. 507–511. 5 indexed citations
8.
Elson, David K., et al.. (2015). Literature Lifts Up Computational Linguistics. INFM-OAR (INFN Catania). 12. 1 indexed citations
9.
Feldman, Anna, et al.. (2013). Automatic Identification of Learners' Language Background Based on Their Writing in Czech. International Joint Conference on Natural Language Processing. 1428–1436. 1 indexed citations
10.
Hana, Jirka, et al.. (2011). A low-budget tagger for Old Czech. Meeting of the Association for Computational Linguistics. 10–18. 3 indexed citations
11.
Street, Laura, et al.. (2010). Like Finding a Needle in a Haystack: Annotating the American National Corpus for Idiomatic Expressions. Language Resources and Evaluation. 3 indexed citations
12.
Cook, Paul & Anna Feldman. (2010). Proceedings of the NAACL HLT 2010 Second Workshop on Computational Approaches to Linguistic Creativity. North American Chapter of the Association for Computational Linguistics. 2 indexed citations
13.
Hana, Jirka & Anna Feldman. (2010). A Positional Tagset for Russian. Language Resources and Evaluation. 126(5). 551–2. 4 indexed citations
14.
Erjavec, Tomaž, Dagmar Divjak, Anna Feldman, et al.. (2010). MULTEXT-East non-commercial lexicons 4.0. Americanae (AECID Library). 1 indexed citations
15.
Feldman, Anna, et al.. (2009). ARIDA: An Arabic Inter-Language Database and Its Applications: A Pilot Study. SHILAP Revista de lepidopterología. 4 indexed citations
16.
Feldman, Anna, et al.. (2009). Proceedings of the Workshop on Computational Approaches to Linguistic Creativity. 5 indexed citations
17.
Sharoff, Serge, et al.. (2008). Designing and evaluating a Russian tagset. Language Resources and Evaluation. 279–285. 28 indexed citations
18.
Feldman, Anna, et al.. (2008). Annotating an Arabic learner corpus for error. Human Pathology. 45(7). 1347–1350. 17 indexed citations
19.
Feldman, Anna, Jirka Hana, & C. Brew. (2006). A Cross-language Approach to Rapid Creation of New Morpho-syntactically Annotated Resources. Language Resources and Evaluation. 549–554. 18 indexed citations
20.
Hana, Jirka, Anna Feldman, & C. Brew. (2004). A Resource-light Approach to Russian Morphology: Tagging Russian using Czech resources.. Empirical Methods in Natural Language Processing. 222–229. 24 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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