Lea Frermann

853 total citations
34 papers, 229 citations indexed

About

Lea Frermann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences. According to data from OpenAlex, Lea Frermann has authored 34 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in General Social Sciences. Recurrent topics in Lea Frermann's work include Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (6 papers). Lea Frermann is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (6 papers). Lea Frermann collaborates with scholars based in Australia, United Arab Emirates and United Kingdom. Lea Frermann's co-authors include Mirella Lapata, Alexandre Klementiev, Ivan Titov, Manfred Pinkal, Trevor Cohn, Maria Barrett, Timothy Baldwin, György Szarvas, Anders Søgaard and Timothy Baldwin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Access and Cognitive Science.

In The Last Decade

Lea Frermann

29 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lea Frermann Australia 7 180 44 15 13 13 34 229
R. Thomas McCoy United States 9 283 1.6× 22 0.5× 56 3.7× 15 1.2× 6 0.5× 18 340
Shane Steinert‐Threlkeld United States 10 163 0.9× 90 2.0× 11 0.7× 3 0.2× 4 0.3× 37 257
Emmanuele Chersoni Hong Kong 12 226 1.3× 9 0.2× 17 1.1× 17 1.3× 6 0.5× 54 326
Matej Martinc Slovenia 9 230 1.3× 23 0.5× 11 0.7× 37 2.8× 2 0.2× 32 289
Anna Gladkova Japan 7 222 1.2× 28 0.6× 15 1.0× 11 0.8× 9 291
Tanja Säily Finland 9 96 0.5× 25 0.6× 16 1.1× 8 0.6× 2 0.2× 38 228
Verna Dankers Netherlands 9 228 1.3× 9 0.2× 52 3.5× 16 1.2× 4 0.3× 14 270
Ioan-Iovitz Popescu Romania 10 153 0.8× 39 0.9× 11 0.7× 28 2.2× 37 272
Laurette Pretorius South Africa 7 138 0.8× 19 0.4× 10 0.7× 13 1.0× 8 0.6× 48 195
Dimitrios Alikaniotis United Kingdom 4 193 1.1× 38 0.9× 23 1.5× 48 3.7× 1 0.1× 4 243

Countries citing papers authored by Lea Frermann

Since Specialization
Citations

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

Fields of papers citing papers by Lea Frermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Frermann

This figure shows the co-authorship network connecting the top 25 collaborators of Lea Frermann. A scholar is included among the top collaborators of Lea Frermann 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 Lea Frermann. Lea Frermann 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.
Geng, Yan, Haonan Li, Timothy Baldwin, et al.. (2026). Control Illusion: The Failure of Instruction Hierarchies in Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 40(36). 30816–30824.
2.
Berger, Uri, Gabriel Stanovsky, Omri Abend, & Lea Frermann. (2025). Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends, and Metrics Analysis. Transactions of the Association for Computational Linguistics. 13. 1597–1644.
3.
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5.
Kemp, Charles, et al.. (2024). Word reuse and combination support efficient communication of emerging concepts. Proceedings of the National Academy of Sciences. 121(46). e2406971121–e2406971121. 1 indexed citations
6.
Kentish, Sandra E., et al.. (2024). Mechanisation, wages, and royalties: Unpacking coal lock-in through 120 years of parliamentary debates in the world's largest exporter. Energy Research & Social Science. 108. 102670–102670. 1 indexed citations
7.
Cohn, Trevor, et al.. (2023). Super-SCOTUS: A multi-sourced dataset for the Supreme Court of the US. 202–214. 2 indexed citations
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9.
Frermann, Lea, et al.. (2023). Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing. 8712–8732. 2 indexed citations
10.
Berger, Uri, Lea Frermann, Gabriel Stanovsky, & Omri Abend. (2023). A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. 2285–2299. 1 indexed citations
11.
Cohn, Trevor, et al.. (2023). More than Votes? Voting and Language based Partisanship in the US Supreme Court. 4604–4614. 1 indexed citations
12.
Liu, Chunhua, Trevor Cohn, & Lea Frermann. (2023). Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts. 193–206.
13.
Han, Xudong, et al.. (2022). FairLib: A Unified Framework for Assessing and Improving Fairness. 60–71. 6 indexed citations
14.
Cohn, Trevor, et al.. (2022). Systematic Evaluation of Predictive Fairness. 68–81. 2 indexed citations
15.
Cohn, Trevor, et al.. (2022). WAX: A New Dataset for Word Association eXplanations. 106–120. 1 indexed citations
16.
17.
Han, Xudong, et al.. (2022). Does Representational Fairness Imply Empirical Fairness?. 81–95. 2 indexed citations
18.
Frermann, Lea & Mirella Lapata. (2021). Categorization in the Wild: Category and Feature Learning across Languages. eScholarship (California Digital Library). 43(43). 1 indexed citations
19.
Frermann, Lea. (2019). Extractive NarrativeQA with Heuristic Pre-Training. 172–182. 3 indexed citations
20.
Frermann, Lea & Francis Bond. (2012). Cross-lingual Parse Disambiguation based on Semantic Correspondence. DR-NTU (Nanyang Technological University). 2. 125–129. 3 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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