Iveta Zolotová
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- Digital Transformation in Industry 7
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- IoT and Edge/Fog Computing 20
- Wireless Sensor Networks for Data Analysis 5
- Medical Laboratory Technology top 10%
- Management Information Systems top 10%
- Big Data and Business Intelligence 9
- Information Systems top 5%
- Data Mining Algorithms and Applications 4
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- Robotics and Automated Systems 9
- Industrial Automation and Control Systems 7
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- Context-Aware Activity Recognition Systems 8
Iveta Zolotová
80 papers receiving 882 citations
Peers
Comparison fields: 5 of 113
- Industrial and Manufacturing Engineering 221
- Computer Networks and Communications 296
- Medical Laboratory Technology 16
- Management Information Systems 76
- Information Systems 137
Countries citing papers authored by Iveta Zolotová
This map shows the geographic impact of Iveta Zolotová'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 Iveta Zolotová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iveta Zolotová more than expected).
Fields of papers citing papers by Iveta Zolotová
This network shows the impact of papers produced by Iveta Zolotová. 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 Iveta Zolotová. The network helps show where Iveta Zolotová may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iveta Zolotová, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 20 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 68 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 42 | |
| 12 | IoT and Cloud Technology in Residential and Business Premises as Ubiquitous Computing | 2017 | 4 |
| 13 | Smart Metering IoT Solution Based on NodeMCU for More Accurate Energy Consumption Analysis | 2017 | 2 |
| 14 | 2016 | 12 | |
| 15 | Artificial Intelligence Aggregating Opinions of a Group of People | 2016 | 1 |
| 16 | Modelling of Hazards Effect on Safety Integrity of Open Transmission Systems | 2016 | 3 |
| 17 | Quantitative Assessment of Safety Integrity Level of Message Transmission Between Safety-Related Equipment | 2014 | 11 |
| 18 | 2013 | 4 | |
| 19 | Modification of the segmentation based on Graph cut method | 2011 | 1 |
| 20 | Knowledge model integrated in SCADA/HMI system for failure process prediction | 2005 | 13 |
About Iveta Zolotová
Iveta Zolotová is a scholar working on Management Information Systems, Medical Laboratory Technology and Computer Networks and Communications, having authored 83 papers that have together received 944 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (20 papers), Big Data and Business Intelligence (9 papers), Robotics and Automated Systems (9 papers), Context-Aware Activity Recognition Systems (8 papers), Digital Transformation in Industry (7 papers), Industrial Automation and Control Systems (7 papers), Wireless Sensor Networks for Data Analysis (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (221 citations), Computer Networks and Communications (296 citations) and Medical Laboratory Technology (16 citations). Iveta Zolotová has collaborated with scholars based in Slovakia, Czechia and New Zealand. Frequent co-authors include Jozef Mocnej, Erik Kajáti, Martin Miškuf, Peter Papcun, Jiří Koziorek, Winston K.G. Seah, Adrián Pekár, Peter Michalík, Chao Liu and Ray Y. Zhong.
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.