Michal Greguš

62 total papers · 871 total citations
40 papers, 500 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 500 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, Muhammad Rizwan, Sidra Abbas, Boban Melović, Tamara Backović, Соломія Федушко, Yuriy Syerov, John R. Graef and Pavel Kováč and has published in prestigious journals such as IEEE Access, Sustainability and Materials.

In The Last Decade

Michal Greguš

38 papers receiving 443 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michal Greguš	122	51	46	43	39	40	500
Chetan Sharma	90 0.7×	50 1.0×	74 1.6×	66 1.5×	72 1.8×	59	587
Aïcha Sekhari	88 0.7×	72 1.4×	42 0.9×	33 0.8×	40 1.0×	43	487
Sergio Muñoz-Romero	118 1.0×	22 0.4×	34 0.7×	45 1.0×	40 1.0×	46	482
Shamneesh Sharma	65 0.5×	52 1.0×	71 1.5×	51 1.2×	57 1.5×	56	572
S.L. Ting	77 0.6×	60 1.2×	99 2.2×	27 0.6×	97 2.5×	29	536
Ahmed Almulihi	88 0.7×	46 0.9×	61 1.3×	86 2.0×	35 0.9×	25	534
Supaporn Kiattisin	53 0.4×	15 0.3×	49 1.1×	22 0.5×	45 1.2×	76	476
Marion O. Adebiyi	147 1.2×	32 0.6×	49 1.1×	13 0.3×	16 0.4×	85	521
Micheal Olaolu Arowolo	200 1.6×	158 3.1×	76 1.7×	31 0.7×	16 0.4×	45	511
Wolfgang Gaul	187 1.5×	35 0.7×	85 1.8×	47 1.1×	12 0.3×	44	610

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.

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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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