John Pavlopoulos

3.5k total citations · 1 hit paper
42 papers, 1.8k citations indexed

About

John Pavlopoulos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, John Pavlopoulos has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in John Pavlopoulos's work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (10 papers). John Pavlopoulos is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (10 papers). John Pavlopoulos collaborates with scholars based in Greece, Sweden and United Kingdom. John Pavlopoulos's co-authors include Ion Androutsopoulos, Maria Pontiki, Dimitrios Galanis, Suresh Manandhar, Harris Papageorgiou, Prodromos Malakasiotis, Jeffrey Sorensen, Yannis Assael, Nando de Freitas and Jonathan Prag and has published in prestigious journals such as Nature, Machine Learning and Journal of the American Medical Informatics Association.

In The Last Decade

John Pavlopoulos

40 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SemEval-2014 Task 4: Aspect Based Sentiment Analysis

2014 1.2k citations Maria Pontiki, Dimitrios Galanis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Pavlopoulos Greece	13	1.5k	218	125	75	48	42	1.8k
Paul Kingsbury United States	9	2.1k 1.4×	136 0.6×	119 1.0×	33 0.4×	47 1.0×	16	2.4k
Jinho D. Choi United States	20	993 0.6×	115 0.5×	73 0.6×	35 0.5×	71 1.5×	91	1.2k
Swabha Swayamdipta United States	12	885 0.6×	98 0.4×	132 1.1×	67 0.9×	14 0.3×	31	1.0k
Jason Wei United States	11	1.1k 0.7×	173 0.8×	203 1.6×	81 1.1×	45 0.9×	16	1.4k
Maciej Piasecki Poland	15	796 0.5×	98 0.4×	50 0.4×	74 1.0×	120 2.5×	115	1.1k
Daniel Duma United Kingdom	9	494 0.3×	103 0.5×	66 0.5×	80 1.1×	15 0.3×	13	800
Greg Durrett United States	21	1.3k 0.8×	145 0.7×	210 1.7×	40 0.5×	105 2.2×	75	1.6k
Chris Tar United States	6	878 0.6×	162 0.7×	174 1.4×	93 1.2×	10 0.2×	6	1.1k
Danding Wang China	8	698 0.5×	151 0.7×	120 1.0×	146 1.9×	173 3.6×	18	1.0k
Luis Espinosa-Anke United Kingdom	17	663 0.4×	53 0.2×	65 0.5×	88 1.2×	21 0.4×	66	867

Countries citing papers authored by John Pavlopoulos

Since Specialization

Citations

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

Fields of papers citing papers by John Pavlopoulos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Pavlopoulos

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Assael, Yannis, Alison Cooley, Brendan Shillingford, et al.. (2025). Contextualizing ancient texts with generative neural networks. Nature. 645(8079). 141–147. 2 indexed citations

2.

Pavlopoulos, John, et al.. (2025). A systematic survey of natural language processing for the Greek language. Patterns. 6(11). 101313–101313. 3 indexed citations

3.

Pavlopoulos, John, et al.. (2024). A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning. 7450–7466.

4.

Pavlopoulos, John, et al.. (2024). CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification. 7695–7715. 1 indexed citations

5.

Pavlopoulos, John, et al.. (2024). Challenging Error Correction in Recognised Byzantine Greek. SPIRE - Sciences Po Institutional REpository. 1–12. 1 indexed citations

6.

Doğruöz, A. Seza, et al.. (2024). Leveraging LLMs for Translating and Classifying Mental Health Data. Ghent University Academic Bibliography (Ghent University). 236–241.

7.

Pavlopoulos, John, et al.. (2023). Harmful Language Datasets: An Assessment of Robustness. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 221–230. 2 indexed citations

8.

Pavlopoulos, John, et al.. (2023). Fraud detection with natural language processing. Machine Learning. 113(8). 5087–5108. 17 indexed citations

9.

Assael, Yannis, John Pavlopoulos, Andrew Senior, et al.. (2023). Machine Learning for Ancient Languages: A Survey. Computational Linguistics. 49(3). 703–747. 18 indexed citations

10.

Pavlopoulos, John, et al.. (2023). Dating Greek Papyri with Text Regression. ARCA (Università Ca' Foscari Venezia). 2 indexed citations

11.

Pavlopoulos, John, et al.. (2022). From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3721–3734. 11 indexed citations

12.

Assael, Yannis, Brendan Shillingford, John Pavlopoulos, et al.. (2022). Restoring and attributing ancient texts using deep neural networks. Nature. 603(7900). 280–283. 80 indexed citations

13.

Pavlopoulos, John & Aristidis Likas. (2022). Distance from Unimodality for the Assessment of Opinion Polarization. Cognitive Computation. 15(2). 731–738. 1 indexed citations

14.

Pavlopoulos, John, et al.. (2021). AUEB NLP Group at ImageCLEFmed Caption Tasks 2021.. CLEF (Working Notes). 1184–1200. 2 indexed citations

15.

Pavlopoulos, John, et al.. (2021). ELERRANT: Automatic Grammatical Error Type Classification for Greek. 708–717. 4 indexed citations

16.

Pavlopoulos, John, et al.. (2020). AUEB NLP Group at ImageCLEFmed Caption 2020.. CLEF (Working Notes). 2 indexed citations

17.

Pavlopoulos, John, et al.. (2019). A Survey on Biomedical Image Captioning. 26–36. 47 indexed citations

18.

Pavlopoulos, John & Ion Androutsopoulos. (2014). Aspect Term Extraction for Sentiment Analysis: New Datasets, New Evaluation Measures and an Improved Unsupervised Method. 44–52. 26 indexed citations

19.

Pontiki, Maria, Dimitrios Galanis, John Pavlopoulos, et al.. (2014). SemEval-2014 Task 4: Aspect Based Sentiment Analysis. 27–35. 1173 indexed citations breakdown →

20.

Malakasiotis, Prodromos, et al.. (2013). nlp.cs.aueb.gr: Two Stage Sentiment Analysis. Joint Conference on Lexical and Computational Semantics. 562–567. 2 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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