Lukáš Falát

499 total citations
28 papers, 291 citations indexed

About

Lukáš Falát is a scholar working on Management Science and Operations Research, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Lukáš Falát has authored 28 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 8 papers in Artificial Intelligence and 6 papers in Strategy and Management. Recurrent topics in Lukáš Falát's work include Stock Market Forecasting Methods (9 papers), Digital Transformation in Industry (4 papers) and Sustainable Supply Chain Management (4 papers). Lukáš Falát is often cited by papers focused on Stock Market Forecasting Methods (9 papers), Digital Transformation in Industry (4 papers) and Sustainable Supply Chain Management (4 papers). Lukáš Falát collaborates with scholars based in Slovakia, Czechia and United States. Lukáš Falát's co-authors include Peter Madzík, Lukáš Copuš, Marco Valeri, Dominik Zimon, Fabiane Letícia Lizarelli, Mária Ďurišová, Luay Jum’a, Tereza Michalová, Viliam Lendel and Fatma Pakdil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Lukáš Falát

24 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lukáš Falát Slovakia	9	49	48	46	43	39	28	291
Shivam Gupta Germany	9	40 0.8×	40 0.8×	23 0.5×	35 0.8×	37 0.9×	19	296
Guojie Xie China	11	44 0.9×	47 1.0×	24 0.5×	46 1.1×	53 1.4×	21	381
Yousif Raad Muhsen Iraq	13	51 1.0×	34 0.7×	63 1.4×	42 1.0×	28 0.7×	33	363
Dharyll Prince Abellana Philippines	11	22 0.4×	63 1.3×	50 1.1×	56 1.3×	35 0.9×	32	302
Xin Su China	9	42 0.9×	84 1.8×	29 0.6×	58 1.3×	44 1.1×	28	346
Celbert M. Himang Philippines	10	21 0.4×	57 1.2×	44 1.0×	47 1.1×	29 0.7×	30	282
Mahnaz Hosseinzadeh Iran	11	52 1.1×	40 0.8×	60 1.3×	45 1.0×	22 0.6×	42	309
Güzin Özdağoğlu Türkiye	11	51 1.0×	53 1.1×	76 1.7×	35 0.8×	21 0.5×	44	362
Şahap Akan Türkiye	9	30 0.6×	54 1.1×	93 2.0×	37 0.9×	28 0.7×	16	294
Neuza C. M. Q. F. Ferreira Portugal	9	69 1.4×	94 2.0×	69 1.5×	35 0.8×	41 1.1×	35	322

Countries citing papers authored by Lukáš Falát

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lukáš Falát

This figure shows the co-authorship network connecting the top 25 collaborators of Lukáš Falát. A scholar is included among the top collaborators of Lukáš Falát 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 Lukáš Falát. Lukáš Falát is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kucharčíková, Alžběta, et al.. (2025). Using of human capital management in small and medium-sized enterprises in context of Industry 4.0. PLoS ONE. 20(5). e0320568–e0320568.

Madzík, Peter, Lukáš Falát, Raja Jayaraman, et al.. (2025). Exploring the directions of artificial intelligence in good health and well-being (SDG3) using big data and LDA topic modeling. Technovation. 151. 103404–103404.

Falát, Lukáš, Katarína Valášková, Peter Madzík, et al.. (2025). Digital technologies and sustainability as evolving business processes – an AI-driven scientific mapping perspective. Business Process Management Journal. 1–30.

Madzík, Peter, Lukáš Falát, & Fatma Pakdil. (2025). Exploring blockchain technologies in sustainable supply chains – unveiling the latent research topics using an AI approach. International Journal of Production Research. 63(21). 8047–8073. 3 indexed citations

Madzík, Peter, et al.. (2024). Resilience in supply chain risk management in disruptive world: rerouting research directions during and after pandemic. Annals of Operations Research. 5 indexed citations

Copuš, Lukáš, et al.. (2024). Navigating the human element: Unveiling insights into workforce dynamics in supply chain automation through smart bibliometric analysis. E+M Ekonomie a Management. 27(3). 72–87. 1 indexed citations

Kucharčíková, Alžběta, et al.. (2024). Personal preferential treatments influencing young people's intention to use ridesharing services. International Journal of Services Economics and Management. 15(3). 225–253.

Copuš, Lukáš, et al.. (2024). The Linkage Between Digital Transformation and Organizational Culture: Novel Machine Learning Literature Review Based on Latent Dirichlet Allocation. Journal of the Knowledge Economy. 16(1). 2082–2118. 1 indexed citations

Michalová, Tereza, et al.. (2024). Altruistic leadership and its role in reducing knowledge hiding: the mediating effects of team learning and knowledge culture. Journal of Innovation & Knowledge. 9(4). 100592–100592. 2 indexed citations

10.

Madzík, Peter, et al.. (2024). Human-centricity in Industry 5.0 – revealing of hidden research topics by unsupervised topic modeling using Latent Dirichlet Allocation. European Journal of Innovation Management. 28(1). 113–138. 11 indexed citations

11.

Madzík, Peter, Lukáš Falát, & Dominik Zimon. (2023). Supply chain research overview from the early eighties to Covid era – Big data approach based on Latent Dirichlet Allocation. Computers & Industrial Engineering. 183. 109520–109520. 26 indexed citations

12.

Falát, Lukáš, et al.. (2023). Determinants of Tax Ethics in Society: Statistical and Logistic Regression Approach. Mathematics. 11(10). 2341–2341. 4 indexed citations

13.

Falát, Lukáš, et al.. (2023). Discovering Trends and Journeys in Knowledge-Based Human Resource Management: Big Data Smart Literature Review Based on Machine Learning Approach. IEEE Access. 11. 95567–95583. 7 indexed citations

14.

Madzík, Peter & Lukáš Falát. (2022). State-of-the-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modelling. PLoS ONE. 17(5). e0268777–e0268777. 60 indexed citations

15.

Falát, Lukáš, et al.. (2019). Forecasting currency pairs with RBF neural network using activation function based on generalized normal distribution experimental results. DSpace VŠB-TUO (VŠB-TUO). 33. 539–563. 1 indexed citations

16.

Lendel, Viliam, et al.. (2017). Intelligent Modelling with Alternative Approach: Application of Advanced Artificial Intelligence into Traffic Management. Communications - Scientific letters of the University of Zilina. 19(4). 36–42. 4 indexed citations

17.

Falát, Lukáš, et al.. (2016). Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network. The Scientific World JOURNAL. 2016. 1–15. 5 indexed citations

18.

Falát, Lukáš, et al.. (2015). Prediction model for high-volatile time series based on SVM regression approach. 77–83. 4 indexed citations

19.

Falát, Lukáš, et al.. (2015). Quantitative Modelling in Economics with Advanced Artificial Neural Networks. Procedia Economics and Finance. 34. 194–201. 40 indexed citations

20.

Falát, Lukáš, et al.. (2014). Financial Time Series Modelling with Hybrid Model Based on Customized RBF Neural Network Combined With Genetic Algorithm. Advances in Electrical and Electronic Engineering. 12(4). 2 indexed citations

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.

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