Mateusz Lango
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
- Orthopedics and Sports Medicine top 10%
- Sports Performance and Training
- Sports injuries and prevention
Papers in
-
- Imbalanced Data Classification Techniques 6
- Topic Modeling 5
- Text and Document Classification Technologies 4
- Natural Language Processing Techniques 3
- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 2
-
- Electricity Theft Detection Techniques 4
- Co-authors
- Jerzy Stefanowski (5 shared papers)Marcin Andrzejewski (2 shared papers)Dariusz Brzeziński (2 shared papers)Ondřej Dušek (2 shared papers)Zdeněk Žabokrtský (2 shared papers)
In The Last Decade
Mateusz Lango
15 papers receiving 228 citations
Peers
Comparison fields: 5 of 64
- Health Information Management 28
- Orthopedics and Sports Medicine 43
- Artificial Intelligence 157
- Accounting 19
- Complementary and alternative medicine 10
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 5 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 57 | |
| 2 | 2022 | 42 | |
| 3 | 2019 | 36 | |
| 4 | 2020 | 32 | |
| 5 | 2019 | 22 | |
| 6 | 2021 | 13 | |
| 7 | 2024 | 10 | |
| 8 | 2016 | 9 | |
| 9 | 2023 | 6 | |
| 10 | Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish) | 2018 | 4 |
| 11 | ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information | 2018 | 2 |
| 12 | A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping | 2020 | 2 |
| 13 | 2020 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 |
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 16 papers that have together received 240 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (6 papers), Topic Modeling (5 papers), Electricity Theft Detection Techniques (4 papers), Text and Document Classification Technologies (4 papers), Natural Language Processing Techniques (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (2 papers) and Sport Psychology and Performance (2 papers). The work is most often cited by research in Health Information Management (28 citations), Orthopedics and Sports Medicine (43 citations), Artificial Intelligence (157 citations), Accounting (19 citations) and Complementary and alternative medicine (10 citations). Mateusz Lango has collaborated with scholars based in Poland and Czechia. Frequent co-authors include Jerzy Stefanowski, Marcin Andrzejewski, Dariusz Brzeziński, Ondřej Dušek and Zdeněk Žabokrtský. Their work appears in journals such as Language Resources and Evaluation, Biology of Sport, The Journal of Strength and Conditioning Research, Machine Learning and International Journal of Applied Mathematics and Computer Science.
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.