Lucie Flek

761 total citations
41 papers, 358 citations indexed

About

Lucie Flek is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Lucie Flek has authored 41 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 9 papers in Social Psychology and 9 papers in Sociology and Political Science. Recurrent topics in Lucie Flek's work include Topic Modeling (18 papers), Natural Language Processing Techniques (11 papers) and Sentiment Analysis and Opinion Mining (8 papers). Lucie Flek is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (11 papers) and Sentiment Analysis and Opinion Mining (8 papers). Lucie Flek collaborates with scholars based in Germany, United States and United Kingdom. Lucie Flek's co-authors include Iryna Gurevych, Daniel Preoțiuc-Pietro, Lyle Ungar, Ramit Sawhney, Rajiv Ratn Shah, Harshit Joshi, Jordan Carpenter, Oliver Ferschke, Salvatore Giorgi and Charles Welch and has published in prestigious journals such as Social Psychological and Personality Science, Judgment and Decision Making and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Lucie Flek

38 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lucie Flek Germany	12	251	84	67	61	42	41	358
Adrián Pastor López-Monroy Mexico	11	261 1.0×	115 1.4×	83 1.2×	48 0.8×	19 0.5×	51	368
Berta Chulvi Spain	9	162 0.6×	123 1.5×	31 0.5×	127 2.1×	21 0.5×	18	301
Prakhar Biyani United States	11	248 1.0×	67 0.8×	118 1.8×	160 2.6×	35 0.8×	14	396
Delia Irazú Hernández Farías Spain	9	311 1.2×	59 0.7×	51 0.8×	52 0.9×	18 0.4×	16	359
Chris Sumner United States	5	131 0.5×	70 0.8×	105 1.6×	128 2.1×	31 0.7×	6	351
Marcin Skowron Austria	9	150 0.6×	60 0.7×	38 0.6×	87 1.4×	29 0.7×	32	337
Esaú Villatoro-Tello Mexico	12	250 1.0×	42 0.5×	140 2.1×	25 0.4×	11 0.3×	53	343
Shuotian Bai China	7	63 0.3×	88 1.0×	27 0.4×	66 1.1×	16 0.4×	12	239
Flor Miriam Plaza-del-Arco Spain	10	361 1.4×	82 1.0×	70 1.0×	28 0.5×	50 1.2×	34	397
Nirmal Varghese Babu India	3	124 0.5×	57 0.7×	23 0.3×	31 0.5×	8 0.2×	12	196

Countries citing papers authored by Lucie Flek

Since Specialization

Citations

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

Fields of papers citing papers by Lucie Flek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucie Flek

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

All Works

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20 of 20 papers shown

Flek, Lucie, et al.. (2025). Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization. Proceedings of the International AAAI Conference on Web and Social Media. 19. 1051–1067. 1 indexed citations

Flek, Lucie, et al.. (2024). Corpus Considerations for Annotator Modeling and Scaling. 1029–1040.

Welch, Charles, et al.. (2024). Do Multilingual Large Language Models Mitigate Stereotype Bias?. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 65–83. 1 indexed citations

Trippas, Johanne R., et al.. (2024). Unveiling Information Through Narrative In Conversational Information Seeking. 1–6.

Welch, Charles, et al.. (2023). Challenges of GPT-3-based Conversational Agents for Healthcare. 619–630. 2 indexed citations

Flek, Lucie, et al.. (2023). CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification. 2118–2123. 1 indexed citations

Potthast, Martin, et al.. (2023). OpinionConv: Conversational Product Search with Grounded Opinions. 66–76. 3 indexed citations

Sawhney, Ramit, et al.. (2023). How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications. Proceedings of the International AAAI Conference on Web and Social Media. 17. 766–776. 2 indexed citations

Flek, Lucie, et al.. (2022). Nearest Neighbor Language Models for Stylistic Controllable Generation. 295–305. 2 indexed citations

10.

Welch, Charles, et al.. (2022). A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing. 2139–2158. 5 indexed citations

11.

Sawhney, Ramit, et al.. (2022). Towards Suicide Ideation Detection Through Online Conversational Context. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1716–1727. 12 indexed citations

12.

Welch, Charles, et al.. (2022). Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4926–4938. 7 indexed citations

13.

Sawhney, Ramit, et al.. (2022). DMix: Adaptive Distance-aware Interpolative Mixup. 606–612. 4 indexed citations

14.

Sawhney, Ramit, et al.. (2021). HypMix: Hyperbolic Interpolative Data Augmentation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9858–9868. 1 indexed citations

15.

Flek, Lucie. (2020). Returning the N to NLP: Towards Contextually Personalized Classification Models. 7828–7838. 28 indexed citations

16.

Carpenter, Jordan, et al.. (2018). The impact of actively open-minded thinking on social media communication. Judgment and Decision Making. 13(6). 562–574. 20 indexed citations

17.

Flek, Lucie & Iryna Gurevych. (2016). Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization. 2029–2041. 31 indexed citations

18.

Daxenberger, Johannes, et al.. (2016). A User Interface for the Exploration of Manually and Automatically Coded Scientific Reasoning and Argumentation. TUbilio (Technical University of Darmstadt). 1 indexed citations

19.

Flek, Lucie, Jordan Carpenter, Salvatore Giorgi, Lyle Ungar, & Daniel Preoțiuc-Pietro. (2016). Analyzing Biases in Human Perception of User Age and Gender from Text. 30 indexed citations

20.

Flek, Lucie & Iryna Gurevych. (2013). Can We Hide in the Web? Large Scale Simultaneous Age and Gender Author Profiling in Social Media - Notebook for PAN at CLEF 2013. TUbilio (Technical University of Darmstadt). 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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