Pavol Tanuška

107 total papers · 600 total citations
59 papers, 352 citations indexed

About

Pavol Tanuška is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Pavol Tanuška has authored 59 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 11 papers in Computer Networks and Communications and 9 papers in Control and Systems Engineering. Recurrent topics in Pavol Tanuška's work include Digital Transformation in Industry (13 papers), Big Data and Business Intelligence (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). Pavol Tanuška is often cited by papers focused on Digital Transformation in Industry (13 papers), Big Data and Business Intelligence (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). Pavol Tanuška collaborates with scholars based in Slovakia, Belgium and United States. Pavol Tanuška's co-authors include Ladislav Huraj, Peter Schreiber, Peter Schreiber and Vladimír Liška and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Pavol Tanuška

53 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Pavol Tanuška	118	101	80	70	52	59	352
Don Libes	86 0.7×	100 1.0×	89 1.1×	22 0.3×	87 1.7×	36	346
Marcelo Teixeira	99 0.8×	55 0.5×	50 0.6×	34 0.5×	31 0.6×	72	386
Rabindra Bista	135 1.1×	121 1.2×	53 0.7×	32 0.5×	34 0.7×	26	369
C. Raghavendra Rao	46 0.4×	86 0.9×	90 1.1×	33 0.5×	72 1.4×	57	366
Bernard Archimède	150 1.3×	36 0.4×	103 1.3×	56 0.8×	48 0.9×	57	397
Francisco Fraile	158 1.3×	118 1.2×	36 0.5×	26 0.4×	86 1.7×	32	387
Csaba Hegedűs	154 1.3×	147 1.5×	32 0.4×	66 0.9×	108 2.1×	36	398
Audine Subias	92 0.8×	37 0.4×	112 1.4×	97 1.4×	40 0.8×	42	372
Ioan Ştefan Sacală	100 0.8×	75 0.7×	51 0.6×	55 0.8×	104 2.0×	58	366
Andrei Soeanu	115 1.0×	42 0.4×	67 0.8×	44 0.6×	43 0.8×	22	307

Countries citing papers authored by Pavol Tanuška

Since Specialization

Citations

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

Fields of papers citing papers by Pavol Tanuška

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavol Tanuška

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

All Works

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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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