Antonios Anastasopoulos

2.8k total citations
77 papers, 693 citations indexed

About

Antonios Anastasopoulos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Antonios Anastasopoulos has authored 77 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Antonios Anastasopoulos's work include Natural Language Processing Techniques (57 papers), Topic Modeling (48 papers) and Speech Recognition and Synthesis (14 papers). Antonios Anastasopoulos is often cited by papers focused on Natural Language Processing Techniques (57 papers), Topic Modeling (48 papers) and Speech Recognition and Synthesis (14 papers). Antonios Anastasopoulos collaborates with scholars based in United States, Canada and United Kingdom. Antonios Anastasopoulos's co-authors include Graham Neubig, Zi-Yi Dou, David Chiang, Long Duong, Trevor Cohn, Steven Bird, Dieter Pfoser, Damián E. Blasí, Jun Araki and Haibo Ding and has published in prestigious journals such as Journal of the American Medical Informatics Association, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Antonios Anastasopoulos

63 papers receiving 652 citations

Peers

Antonios Anastasopoulos
Vishrav Chaudhary United States
Yinhan Liu United States
Christopher Clark United States
Shijie Wu United States
Omri Abend Israel
Antonios Anastasopoulos
Citations per year, relative to Antonios Anastasopoulos Antonios Anastasopoulos (= 1×) peers Chenhui Chu

Countries citing papers authored by Antonios Anastasopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Antonios Anastasopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonios Anastasopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Antonios Anastasopoulos. A scholar is included among the top collaborators of Antonios Anastasopoulos 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 Antonios Anastasopoulos. Antonios Anastasopoulos 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.
Zhao, Liang, et al.. (2025). End-to-end Trajectory Generation - Contrasting Deep Generative Models and Language Models. ACM Transactions on Spatial Algorithms and Systems. 11(4). 1–28.
2.
Caliskan, Aylin, et al.. (2024). Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. 6398–6415. 2 indexed citations
3.
Anastasopoulos, Antonios, et al.. (2024). A Concise Survey of OCR for Low-Resource Languages. 88–102.
4.
Anastasopoulos, Antonios, et al.. (2024). The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?. 22032–22054. 1 indexed citations
5.
Faisal, Fahim & Antonios Anastasopoulos. (2024). An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language Models. 45–92.
6.
Pandey, Amritanshu, et al.. (2024). Unlearning Climate Misinformation in Large Language Models. 178–192. 1 indexed citations
7.
Pfoser, Dieter, et al.. (2024). Trajectory Anomaly Detection with Language Models. 208–219. 1 indexed citations
8.
Anastasopoulos, Antonios, et al.. (2024). Urban Mobility Assessment Using LLMs. 67–79. 7 indexed citations
9.
Faisal, Fahim, Orevaoghene Ahia, Aarohi Srivastava, et al.. (2024). DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. 14412–14454. 5 indexed citations
10.
Caliskan, Aylin, et al.. (2024). BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. 10439–10455.
11.
Anastasopoulos, Antonios, et al.. (2024). Back to School: Translation Using Grammar Books. 20207–20219. 1 indexed citations
13.
Kumar, Sachin, et al.. (2023). Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. 3299–3321. 24 indexed citations
14.
Ranasinghe, Tharindu, et al.. (2023). Offensive Language Identification in Transliterated and Code-Mixed Bangla. 1–6. 2 indexed citations
16.
Anastasopoulos, Antonios, et al.. (2023). Are Large Language Models Geospatially Knowledgeable?. 1–4. 33 indexed citations
17.
Kumar, Sachin, et al.. (2023). Mitigating Societal Harms in Large Language Models. 1 indexed citations
18.
Anastasopoulos, Antonios, et al.. (2023). GMU Systems for the IWSLT 2023 Dialect and Low-resource Speech Translation Tasks. 269–276.
19.
Anastasopoulos, Antonios, et al.. (2020). A Resource for Studying Chatino Verbal Morphology. Language Resources and Evaluation. 2827–2831. 1 indexed citations
20.
Duan, Mingjun, et al.. (2019). A Resource for Computational Experiments on Mapudungun. arXiv (Cornell University). 2872–2877. 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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