Michal Greguš

879 total citations
40 papers, 507 citations indexed

About

Michal Greguš is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Michal Greguš has authored 40 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Management Information Systems. Recurrent topics in Michal Greguš's work include Information Systems and Technology Applications (7 papers), Network Security and Intrusion Detection (3 papers) and Statistical and Computational Modeling (3 papers). Michal Greguš is often cited by papers focused on Information Systems and Technology Applications (7 papers), Network Security and Intrusion Detection (3 papers) and Statistical and Computational Modeling (3 papers). Michal Greguš collaborates with scholars based in Slovakia, Ukraine and Serbia. Michal Greguš's co-authors include Branislav Dudić, Nataliya Shakhovska, Sidra Abbas, Muhammad Rizwan, Boban Melović, Tamara Backović, Соломія Федушко, Yuriy Syerov, Borislav Savković and Dragan Rodić and has published in prestigious journals such as IEEE Access, Sustainability and Materials.

In The Last Decade

Michal Greguš

38 papers receiving 451 citations

Peers

Michal Greguš

CNC

MARKE

MIS

Karthikeyan Kaliyaperumal Ethiopia

Shamneesh Sharma India

Ankur Singh Bist India

Chander Prabha India

Shuzlina Abdul-Rahman Malaysia

Mehmet N. Aydın Türkiye

Yousef A. Baker El–Ebiary Malaysia

Muhammad Suryanegara Indonesia

Zohaib Jan Australia

Tranos Zuva South Africa

Karthikeyan Kaliyaperumal Ethiopia

Michal Greguš

125 ×1.0

38 ×0.7

CNC

54 ×1.1

17 ×0.4

MARKE

36 ×0.9

MIS

Citations per year, relative to Michal Greguš Michal Greguš (= 1×) peers Karthikeyan Kaliyaperumal

Countries citing papers authored by Michal Greguš

Since Specialization

Citations

This map shows the geographic impact of Michal Greguš'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 Michal Greguš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Greguš more than expected).

Fields of papers citing papers by Michal Greguš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michal Greguš. 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 Michal Greguš. The network helps show where Michal Greguš may publish in the future.

Co-authorship network of co-authors of Michal Greguš

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Greguš. A scholar is included among the top collaborators of Michal Greguš 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 Michal Greguš. Michal Greguš 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

Greguš, Michal, et al.. (2025). Optimizing the 15 Puzzle with AI: Comparative analysis of breadth-first and depth-first search algorithms. Procedia Computer Science. 265. 57–64. 1 indexed citations

Izonin, Ivan, et al.. (2024). An Adaptation of the Input Doubling Method for Solving Classification Tasks in Case of Small Data Processing. Procedia Computer Science. 241. 171–178. 3 indexed citations

Greguš, Michal, et al.. (2024). Enhancing Autoscaling in Cloud Environment: Case of Hotels Network Management System. Procedia Computer Science. 251. 639–644. 1 indexed citations

Abbas, Sidra, Stephen Ojo, Abdullah Al Hejaili, et al.. (2024). Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks. PeerJ Computer Science. 10. e1793–e1793. 34 indexed citations

Kryvinska, Natalia, Michal Greguš, & Соломія Федушко. (2023). Developments in Information and Knowledge Management Systems for Business Applications. Studies in systems, decision and control. 3 indexed citations

Shandilya, Shishir Kumar, et al.. (2023). Effective Software Effort Estimation Leveraging Machine Learning for Digital Transformation. IEEE Access. 11. 83523–83536. 12 indexed citations

Kohli, Rashi, et al.. (2021). Energy‐Efficient Enhancement for the Prediction‐Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs. Wireless Communications and Mobile Computing. 2021(1). 5 indexed citations

Rizwan, Muhammad, et al.. (2021). Machine Learning Assisted Cervical Cancer Detection. Frontiers in Public Health. 9. 788376–788376. 78 indexed citations

Shakhovska, Nataliya, et al.. (2021). The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation. Applied Sciences. 11(21). 10380–10380. 10 indexed citations

10.

Shakhovska, Nataliya, et al.. (2020). Data-Driven Analytics for Personalized Medical Decision Making. Mathematics. 8(8). 1211–1211. 9 indexed citations

11.

Dudić, Branislav, et al.. (2020). The Innovativeness and Usage of the Balanced Scorecard Model in SMEs. Sustainability. 12(8). 3221–3221. 29 indexed citations

12.

Nazarkevych, Mariya, Ivan Izonin, Michal Greguš, & Nataliia Lotoshynska. (2020). An Approach towards the Protection for Printed Documents by Means of Latent Elements with Fractal Grids and Electronic Determination of Its Authenticity. Electronics. 9(4). 667–667. 2 indexed citations

13.

Shakhovska, Nataliya, et al.. (2019). Big Data analysis in development of personalized medical system. Procedia Computer Science. 160. 229–234. 38 indexed citations

14.

Greguš, Michal, et al.. (2019). Correlation Analysis as a Thyroid Gland, Adrenal Glands, and Liver Relationship Tool for Correcting Hypothyroidism with Organic and Inorganic Iodine. Procedia Computer Science. 160. 598–603. 12 indexed citations

15.

Bohdalová, Mária & Michal Greguš. (2017). The Impacts of Brexit on European Equity Markets. 8(2). 5–18. 3 indexed citations

16.

Greguš, Michal, et al.. (2017). Nice, Berlin, London - if every car had autonomous emergency braking system for forward collisions avoidance. Procedia Computer Science. 110. 386–393. 3 indexed citations

17.

Greguš, Michal, et al.. (2017). Concept of Dynamic Advertisement Composition Model Tailored to Customers´ Needs Based on Interactive Customer Input. Procedia Computer Science. 109. 1016–1021. 1 indexed citations

18.

Greguš, Michal, et al.. (2016). Applications of Complete Complementary Codes and Propositions for Future Research Areas of these Codes. Procedia Computer Science. 83. 592–599. 7 indexed citations

19.

Greguš, Michal, et al.. (2016). MatLab implementation of the recent CCC construction approach. it 57. 429–432. 1 indexed citations

20.

Graef, John R., et al.. (1998). On oscillatory and asymptotic properties of solutions of certain nonlinear third order differential equations. Nonlinear Analysis. 32(3). 417–425. 17 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.

Explore authors with similar magnitude of impact