Mateusz Lango
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Orthopedics and Sports Medicine top 10%
- Health Information Management top 10%
- Information Systems
- Topics
- Imbalanced Data Classification Techniques (6 papers)Topic Modeling (5 papers)Electricity Theft Detection Techniques (4 papers)
In The Last Decade
Mateusz Lango
15 papers receiving 228 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 157
- Electrical and Electronic Engineering 50
- Orthopedics and Sports Medicine 43
- Health Information Management 28
- Information Systems 25
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-authorship network of co-authors of Mateusz Lango
This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Lango. A scholar is included among the top collaborators of Mateusz Lango 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 Mateusz Lango. Mateusz Lango is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 42 | |
| 7 | 13 | |
| 8 | A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping | 2 |
| 9 | 32 | |
| 10 | 2 | |
| 11 | 22 | |
| 12 | 36 | |
| 13 | Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish) | 4 |
| 14 | ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information | 2 |
| 15 | 57 | |
| 16 | 9 |
About Mateusz Lango
Mateusz Lango is a scholar working on Artificial Intelligence, Orthopedics and Sports Medicine and Linguistics and Language, 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) and Electricity Theft Detection Techniques (4 papers). The work is most often cited by research in Health Information Management (28 citations), Orthopedics and Sports Medicine (43 citations) and Artificial Intelligence (157 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 Expert Systems with Applications, Machine Learning and The Journal of Strength and Conditioning Research.
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.