Aleksander Wawer

1.1k total citations · 1 hit paper
39 papers, 410 citations indexed

About

Aleksander Wawer is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Aleksander Wawer has authored 39 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 6 papers in Social Psychology. Recurrent topics in Aleksander Wawer's work include Topic Modeling (16 papers), Sentiment Analysis and Opinion Mining (11 papers) and Natural Language Processing Techniques (11 papers). Aleksander Wawer is often cited by papers focused on Topic Modeling (16 papers), Sentiment Analysis and Opinion Mining (11 papers) and Natural Language Processing Techniques (11 papers). Aleksander Wawer collaborates with scholars based in Poland, Czechia and Switzerland. Aleksander Wawer's co-authors include Justyna Sarzyńska‐Wawer, Łukasz Okruszek, Izabela Stefaniak, Michał Jarkiewicz, Izabela Chojnicka, Radosław Nielek, Adam Wierzbicki, Agnieszka Mykowiecka, Krzysztof Hanusz and Michał Marcińczuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Aleksander Wawer

35 papers receiving 397 citations

Hit Papers

Detecting formal thought disorder by deep contextualized ... 2021 2026 2022 2024 2021 50 100 150
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.

  1. Detecting formal thought disorder by deep contextualized word representations
    2021 199 citations Justyna Sarzyńska‐Wawer, Aleksander Wawer et al. Psychiatry Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksander Wawer Poland 9 234 63 59 54 39 39 410
Justyna Sarzyńska‐Wawer Poland 7 148 0.6× 35 0.6× 45 0.8× 21 0.4× 35 0.9× 17 297
Timothy N. Rubin United States 7 222 0.9× 58 0.9× 86 1.5× 18 0.3× 49 1.3× 8 404
Bryan R. Gibson United States 9 275 1.2× 54 0.9× 23 0.4× 32 0.6× 21 0.5× 28 440
Mary Shepherd United States 8 224 1.0× 76 1.2× 19 0.3× 29 0.5× 25 0.6× 13 497
Menno van Zaanen Netherlands 12 482 2.1× 78 1.2× 27 0.5× 23 0.4× 67 1.7× 88 703
Evelyne Viegas United States 10 293 1.3× 90 1.4× 18 0.3× 26 0.5× 44 1.1× 32 450
Esther Kaufmann Switzerland 11 196 0.8× 67 1.1× 14 0.2× 22 0.4× 17 0.4× 23 371
Sandra Maria Aluísio Brazil 16 666 2.8× 105 1.7× 68 1.2× 33 0.6× 19 0.5× 97 857
Hrafn Loftsson Iceland 11 497 2.1× 58 0.9× 19 0.3× 19 0.4× 35 0.9× 39 641
Joseph Mariani France 9 479 2.0× 44 0.7× 23 0.4× 24 0.4× 50 1.3× 52 622

Countries citing papers authored by Aleksander Wawer

Since Specialization
Citations

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

Fields of papers citing papers by Aleksander Wawer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksander Wawer

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksander Wawer. A scholar is included among the top collaborators of Aleksander Wawer 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 Aleksander Wawer. Aleksander Wawer 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.
Chojnicka, Izabela & Aleksander Wawer. (2025). Predicting autism from written narratives using deep neural networks. Scientific Reports. 15(1). 20661–20661.
2.
Wawer, Aleksander. (2024). Few-Shot Methods for Aspect-Level Sentiment Analysis. Information. 15(11). 664–664. 1 indexed citations
3.
Chojnicka, Izabela & Aleksander Wawer. (2024). Analysis of Autistic Adolescents’ Essays Using Computer Techniques. Journal of Autism and Developmental Disorders. 1 indexed citations
4.
Wawer, Aleksander, et al.. (2024). Detecting Aggression in Language: From Diverse Data to Robust Classifiers. Electronics. 13(24). 4857–4857.
5.
Wawer, Aleksander, et al.. (2024). A cross‐dataset study on automatic detection of autism spectrum disorder from text data. Acta Psychiatrica Scandinavica. 151(3). 259–269. 2 indexed citations
6.
Sarzyńska‐Wawer, Justyna, et al.. (2023). Are Intelligent People Better Liars? Relationships between Cognitive Abilities and Credible Lying. Journal of Intelligence. 11(4). 69–69. 5 indexed citations
7.
Wawer, Aleksander, et al.. (2023). Improving Domain-Specific Retrieval by NLI Fine-Tuning. SHILAP Revista de lepidopterología. 35. 949–953.
8.
Sarzyńska‐Wawer, Justyna, et al.. (2023). Truth or lie: Exploring the language of deception. PLoS ONE. 18(2). e0281179–e0281179. 9 indexed citations
9.
Wawer, Aleksander, et al.. (2022). Czy komputer rozpozna hejtera? Wykorzystanie uczenia maszynowego (ML) w jakościowej analizie danych. Przegląd Socjologii Jakościowej. 13(2). 62–80. 5 indexed citations
10.
Wawer, Aleksander, Izabela Chojnicka, Łukasz Okruszek, & Justyna Sarzyńska‐Wawer. (2021). Single and Cross-Disorder Detection for Autism and Schizophrenia. Cognitive Computation. 14(1). 461–473. 19 indexed citations
11.
Sarzyńska‐Wawer, Justyna, et al.. (2021). Detecting formal thought disorder by deep contextualized word representations. Psychiatry Research. 304. 114135–114135. 199 indexed citations breakdown →
12.
Wawer, Aleksander, et al.. (2019). Predicting Sentiment of Polish Language Short Texts. 1321–1327. 5 indexed citations
13.
Wawer, Aleksander & Justyna Sarzyńska‐Wawer. (2018). The Linguistic Category Model in Polish (LCM-PL).. Language Resources and Evaluation. 5 indexed citations
14.
Wawer, Aleksander & Agnieszka Mykowiecka. (2017). Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambigous Synonyms. 120–125. 5 indexed citations
15.
Wawer, Aleksander & Agnieszka Mykowiecka. (2017). Detecting Metaphorical Phrases in the Polish Language. 772–777. 2 indexed citations
16.
Wawer, Aleksander. (2016). OPFI: A Tool for Opinion Finding in Polish.. Language Resources and Evaluation. 2906–2909. 1 indexed citations
17.
Wawer, Aleksander. (2012). Mining Co-Occurrence Matrices for SO-PMI Paradigm Word Candidates. Conference of the European Chapter of the Association for Computational Linguistics. 74–80. 3 indexed citations
18.
Wawer, Aleksander, et al.. (2012). How Much Supervision? Corpus-Based Lexeme Sentiment Estimation. 724–730. 6 indexed citations
19.
Wawer, Aleksander. (2012). Extracting Emotive Patterns for Languages with Rich Morphology. 9 indexed citations
20.
Wawer, Aleksander. (2010). Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning. Language Resources and Evaluation. 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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