Pavol Tanuška

609 total citations
59 papers, 358 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 358 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 Flexible and Reconfigurable Manufacturing Systems (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 Flexible and Reconfigurable Manufacturing Systems (5 papers). Pavol Tanuška collaborates with scholars based in Slovakia, United States and Belgium. 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 331 citations

Peers

Pavol Tanuška
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 122
  • Computer Networks and Communications 103
  • Artificial Intelligence 80
  • Control and Systems Engineering 70
  • Management Information Systems 54
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Citations per field, relative to Pavol Tanuška
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Citations per year, relative to Pavol Tanuška
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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

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3 2
4 2
5 2
6 34
7 1
8 5
9 1
10 28
11 3
12 1
13 0
14 0
15
Utilisation of on-line machine learning for SCADA system alarms forecasting
11
16 2
17
The Partial Proposal of Data Warehouse Testing Task
4
18 0
19 2
20
SOME ASPECTS OF THE TECHNOLOGY ENHANCED LEARNING IN ENGINEERING EDUCATION
0

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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