Tomasz Maniak
Impact in
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- Industrial Vision Systems and Defect Detection
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
Papers in
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- Neural Networks and Applications 2
- Machine Learning and ELM 2
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- Infrastructure Maintenance and Monitoring 2
- Co-authors
- Charalampos Karyotis (9 shared papers)Faiyaz Doctor (9 shared papers)Rahat Iqbal (6 shared papers)Vasile Palade (3 shared papers)Chrisina Jayne (2 shared papers)Saad Amin (1 shared paper)Nikos Passas (3 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Industrial Informatics (1 paper)Information Sciences (1 paper)Computers & Electrical Engineering (1 paper)IEEE Network (1 paper)
- Partner nations
- United KingdomPortugalUnited Arab Emirates
In The Last Decade
Tomasz Maniak
11 papers receiving 294 citations
Peers
Comparison fields: 5 of 70
- Industrial and Manufacturing Engineering 46
- Control and Systems Engineering 80
- Civil and Structural Engineering 62
- Statistics, Probability and Uncertainty 17
- Media Technology 20
Countries citing papers authored by Tomasz Maniak
This map shows the geographic impact of Tomasz Maniak'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 Tomasz Maniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Maniak more than expected).
Fields of papers citing papers by Tomasz Maniak
This network shows the impact of papers produced by Tomasz Maniak. 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 Tomasz Maniak. The network helps show where Tomasz Maniak may publish in the future.
Co-authors
The 8 scholars most cited alongside Tomasz Maniak, 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 | 2019 | 161 | |
| 2 | 2022 | 55 | |
| 3 | 2019 | 21 | |
| 4 | 2014 | 18 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 12 | |
| 7 | 2013 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 0 |
About Tomasz Maniak
Tomasz Maniak is a scholar working on Artificial Intelligence, Civil and Structural Engineering, Control and Systems Engineering, Ocean Engineering and Media Technology, having authored 12 papers that have together received 307 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Vehicle License Plate Recognition (2 papers), Neural Networks and Applications (2 papers), Geophysical Methods and Applications (2 papers), Machine Learning and ELM (2 papers), Smart Parking Systems Research (1 paper) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (46 citations), Control and Systems Engineering (80 citations), Civil and Structural Engineering (62 citations), Statistics, Probability and Uncertainty (17 citations) and Media Technology (20 citations). Tomasz Maniak has collaborated with scholars based in United Kingdom, Portugal and United Arab Emirates. Frequent co-authors include Charalampos Karyotis, Faiyaz Doctor, Rahat Iqbal, Rahat Iqbal, Vasile Palade, Chrisina Jayne, Saad Amin and Nikos Passas. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Informatics, Information Sciences, Computers & Electrical Engineering and IEEE Network.
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.