Aleksander Wawer
- Artificial Intelligence top 5%
- Information Systems top 10%
- Cognitive Neuroscience
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Justyna Sarzyńska‐WawerŁukasz OkruszekIzabela StefaniakMichał JarkiewiczIzabela ChojnickaRadosław NielekAdam WierzbickiAgnieszka Mykowiecka
- Topics
- Topic Modeling (16 papers)Sentiment Analysis and Opinion Mining (11 papers)Natural Language Processing Techniques (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PolandCzechiaSwitzerland
In The Last Decade
Aleksander Wawer
35 papers receiving 397 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 234
- Information Systems 63
- Cognitive Neuroscience 59
- Sociology and Political Science 54
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Aleksander Wawer
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | Detecting formal thought disorder by deep contextualized word representationsbreakdown → | 199 |
| 11 | 19 | |
| 12 | 23 | |
| 13 | 5 | |
| 14 | The Linguistic Category Model in Polish (LCM-PL). | 5 |
| 15 | 2 | |
| 16 | 5 | |
| 17 | OPFI: A Tool for Opinion Finding in Polish. | 1 |
| 18 | Mining Co-Occurrence Matrices for SO-PMI Paradigm Word Candidates | 3 |
| 19 | 6 | |
| 20 | Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning | 3 |
About Aleksander Wawer
Aleksander Wawer is a scholar working on Artificial Intelligence, Linguistics and Language and Language and Linguistics, having authored 39 papers that have together received 410 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Sentiment Analysis and Opinion Mining (11 papers) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (234 citations), Health Informatics (8 citations) and Cognitive Neuroscience (59 citations). Aleksander Wawer has collaborated with scholars based in Poland, Czechia and Switzerland. Frequent co-authors include Justyna Sarzyńska‐Wawer, Łukasz Okruszek, Izabela Stefaniak, Michał Jarkiewicz, Izabela Chojnicka, Radosław Nielek, Adam Wierzbicki, Agnieszka Mykowiecka, Michał Marcińczuk and Krzysztof Hanusz. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.