Mateusz Lango
Impact in
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- Artificial Intelligence in Healthcare
- Orthopedics and Sports Medicine top 10%
- Sports Performance and Training
- Sports injuries and prevention
Papers in
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- Imbalanced Data Classification Techniques 11
- Topic Modeling 9
- Sentiment Analysis and Opinion Mining 5
- Text and Document Classification Technologies 5
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 4
- Explainable Artificial Intelligence (XAI) 4
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- Electricity Theft Detection Techniques 6
- Co-authors
- Jerzy Stefanowski (13 shared papers)Marcin Andrzejewski (3 shared papers)Dariusz Brzeziński (3 shared papers)Ondřej Dušek (3 shared papers)Krystyna Napierała (1 shared paper)Jerzy Błaszczyński (1 shared paper)Zdeněk Žabokrtský (2 shared papers)Adam Wojciechowski (1 shared paper)
In The Last Decade
Mateusz Lango
24 papers receiving 308 citations
Peers
Comparison fields: 5 of 69
- Health Information Management 34
- Orthopedics and Sports Medicine 49
- Artificial Intelligence 215
- Accounting 24
- Information Systems 32
Countries citing papers authored by Mateusz Lango
This map shows the geographic impact of Mateusz Lango'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 Mateusz Lango with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Lango more than expected).
Fields of papers citing papers by Mateusz Lango
This network shows the impact of papers produced by Mateusz Lango. 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 Mateusz Lango. The network helps show where Mateusz Lango may publish in the future.
Co-authors
The 10 scholars most cited alongside Mateusz Lango, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 69 | |
| 2 | 2022 | 53 | |
| 3 | 2019 | 41 | |
| 4 | 2020 | 39 | |
| 5 | 2019 | 28 | |
| 6 | 2021 | 14 | |
| 7 | 2024 | 13 | |
| 8 | 2016 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping | 2020 | 2 |
| 19 | 2020 | 2 | |
| 20 | ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information | 2018 | 2 |
About Mateusz Lango
Mateusz Lango is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, Orthopedics and Sports Medicine and Developmental and Educational Psychology, having authored 29 papers that have together received 319 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (11 papers), Topic Modeling (9 papers), Electricity Theft Detection Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Text and Document Classification Technologies (5 papers), Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). The work is most often cited by research in Health Information Management (34 citations), Orthopedics and Sports Medicine (49 citations), Artificial Intelligence (215 citations), Accounting (24 citations) and Information Systems (32 citations). Mateusz Lango has collaborated with scholars based in Poland and Czechia. Frequent co-authors include Jerzy Stefanowski, Marcin Andrzejewski, Dariusz Brzeziński, Ondřej Dušek, Krystyna Napierała, Jerzy Błaszczyński, Zdeněk Žabokrtský, Adam Wojciechowski, Paweł Chmura and Marek Konefał. Their work appears in journals such as Language Resources and Evaluation, The Journal of Strength and Conditioning Research, Biology of Sport, Expert Systems with Applications and Journal of Intelligent Information Systems.
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.