Martin Hlosta
- Computer Science Applications top 0.2%
- Online Learning and Analytics 22
- E-Learning and Knowledge Management 10
- Health Informatics top 5%
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- Artificial Intelligence in Healthcare 2
- Artificial Intelligence top 5%
- Intelligent Tutoring Systems and Adaptive Learning 4
- Data Stream Mining Techniques 2
- Imbalanced Data Classification Techniques 2
- Education top 5%
- Online and Blended Learning 8
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- Data Mining Algorithms and Applications 2
- Co-authors
- Zdeněk ZdráhalJakub KužílekChristothea HerodotouBart RientiesAvinash BoroowaJaroslav ZendulkaAnnika WolffDrahomíra Herrmannová
- Partner nations
- United KingdomSwitzerlandCzechia
In The Last Decade
Martin Hlosta
29 papers receiving 804 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Science Applications 679
- Health Informatics 31
- Health Information Management 58
- Artificial Intelligence 290
- Education 262
Countries citing papers authored by Martin Hlosta
This map shows the geographic impact of Martin Hlosta'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 Martin Hlosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Hlosta more than expected).
Fields of papers citing papers by Martin Hlosta
This network shows the impact of papers produced by Martin Hlosta. 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 Martin Hlosta. The network helps show where Martin Hlosta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Hlosta, 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 | 2026 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 37 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 57 | |
| 12 | 2019 | 100 | |
| 13 | Visualisation of key splitting milestones to support interventions | 2019 | 1 |
| 14 | 2018 | 6 | |
| 15 | 2017 | 66 | |
| 16 | Open University Learning Analytics datasetbreakdown → | 2017 | 258 |
| 17 | Scholarly insight Autumn 2017:a Data wrangler perspective | 2017 | 1 |
| 18 | 2017 | 35 | |
| 19 | 2013 | 1 | |
| 20 | 2012 | 1 |
About Martin Hlosta
Martin Hlosta is a scholar working on Computer Science Applications, Health Information Management and Education, having authored 32 papers that have together received 864 indexed citations. Recurring topics across this work include Online Learning and Analytics (22 papers), E-Learning and Knowledge Management (10 papers), Online and Blended Learning (8 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Data Stream Mining Techniques (2 papers), Data Mining Algorithms and Applications (2 papers), Artificial Intelligence in Healthcare (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Computer Science Applications (679 citations), Health Informatics (31 citations) and Health Information Management (58 citations). Martin Hlosta has collaborated with scholars based in United Kingdom, Switzerland and Czechia. Frequent co-authors include Zdeněk Zdráhal, Jakub Kužílek, Christothea Herodotou, Bart Rienties, Avinash Boroowa, Jaroslav Zendulka, Annika Wolff, Drahomíra Herrmannová, Per Bergamin and Paul Mulholland. Their work appears in journals such as Computers & Education, Knowledge-Based Systems and Scientific Data.
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.