Lukáš Falát
Impact in
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- Stock Market Forecasting Methods
Papers in
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- Stock Market Forecasting Methods 9
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- Neural Networks and Applications 3
- Organizational and Employee Performance 2
- Co-authors
- Peter Madzík (13 shared papers)Lukáš Copuš (4 shared papers)Dominik Zimon (3 shared papers)Fabiane Letícia Lizarelli (1 shared paper)Neeraj Yadav (1 shared paper)Mária Ďurišová (2 shared papers)Luay Jum’a (1 shared paper)Tereza Michalová (2 shared papers)
- Journals
- PLoS ONE (2 papers)European Journal of Innovation Management (2 papers)Journal of Innovation & Knowledge (2 papers)Applied Sciences (1 paper)Annals of Operations Research (1 paper)
- Partner nations
- SlovakiaCzechiaUnited States
In The Last Decade
Lukáš Falát
24 papers receiving 292 citations
Peers
Comparison fields: 5 of 87
- Business and International Management 10
- Management Science and Operations Research 46
- Marketing 33
- General Social Sciences 11
- Strategy and Management 49
Countries citing papers authored by Lukáš Falát
This map shows the geographic impact of Lukáš Falát'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 Lukáš Falát with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukáš Falát more than expected).
Fields of papers citing papers by Lukáš Falát
This network shows the impact of papers produced by Lukáš Falát. 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 Lukáš Falát. The network helps show where Lukáš Falát may publish in the future.
Co-authors
The 15 scholars most cited alongside Lukáš Falát, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 65 | |
| 2 | 2023 | 50 | |
| 3 | 2015 | 40 | |
| 4 | 2023 | 30 | |
| 5 | 2024 | 26 | |
| 6 | 2017 | 15 | |
| 7 | 2024 | 14 | |
| 8 | 2015 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2016 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2017 | 2 |
About Lukáš Falát
Lukáš Falát is a scholar working on Management Science and Operations Research, Artificial Intelligence, Strategy and Management, Economics and Econometrics and Industrial and Manufacturing Engineering, having authored 28 papers that have together received 313 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (9 papers), Sustainable Supply Chain Management (4 papers), Digital Transformation in Industry (4 papers), Supply Chain Resilience and Risk Management (3 papers), Neural Networks and Applications (3 papers), Business and Economic Development (2 papers), Organizational and Employee Performance (2 papers) and Technology and Data Analysis (2 papers). The work is most often cited by research in Business and International Management (10 citations), Management Science and Operations Research (46 citations), Marketing (33 citations), General Social Sciences (11 citations) and Strategy and Management (49 citations). Lukáš Falát has collaborated with scholars based in Slovakia, Czechia and United States. Frequent co-authors include Peter Madzík, Lukáš Copuš, Dominik Zimon, Fabiane Letícia Lizarelli, Neeraj Yadav, Mária Ďurišová, Luay Jum’a, Tereza Michalová, Fatma Pakdil and Viliam Lendel. Their work appears in journals such as PLoS ONE, European Journal of Innovation Management, Journal of Innovation & Knowledge, Applied Sciences and Annals of Operations 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.