Sławomir Nowaczyk
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Building and Construction top 5%
- Signal Processing top 5%
- Co-authors
- Thorsteinn RögnvaldssonAnita Sant’AnnaSepideh PashamiStefan ByttnerMohamed-Rafik BougueliaMarkus LingmanAwais AshfaqAntanas Verikas
- Topics
- Fault Detection and Control Systems (13 papers)Anomaly Detection Techniques and Applications (12 papers)Time Series Analysis and Forecasting (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied EnergyExpert Systems with Applications
In The Last Decade
Sławomir Nowaczyk
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 402
- Control and Systems Engineering 245
- Electrical and Electronic Engineering 156
- Building and Construction 123
- Signal Processing 113
Countries citing papers authored by Sławomir Nowaczyk
This map shows the geographic impact of Sławomir Nowaczyk'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 Sławomir Nowaczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sławomir Nowaczyk more than expected).
Fields of papers citing papers by Sławomir Nowaczyk
This network shows the impact of papers produced by Sławomir Nowaczyk. 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 Sławomir Nowaczyk. The network helps show where Sławomir Nowaczyk may publish in the future.
Co-authorship network of co-authors of Sławomir Nowaczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Sławomir Nowaczyk. A scholar is included among the top collaborators of Sławomir Nowaczyk 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 Sławomir Nowaczyk. Sławomir Nowaczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 27 | |
| 14 | 26 | |
| 15 | 113 | |
| 16 | 13 | |
| 17 | Analysis of Truck Compressor Failures Based on Logged Vehicle Data | 8 |
| 18 | Knowledge Representation for Reconfigurable Automation Systems | 3 |
| 19 | Learning of agents with limited resources | 1 |
| 20 | Deduction and Exploratory Assessment of Partial Plans | 1 |
About Sławomir Nowaczyk
Sławomir Nowaczyk is a scholar working on Family Practice, Artificial Intelligence and Signal Processing, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (13 papers), Anomaly Detection Techniques and Applications (12 papers) and Time Series Analysis and Forecasting (10 papers). The work is most often cited by research in Medical Laboratory Technology (37 citations), Health Information Management (67 citations) and Health Informatics (18 citations). Sławomir Nowaczyk has collaborated with scholars based in Sweden, Poland and Spain. Frequent co-authors include Thorsteinn Rögnvaldsson, Anita Sant’Anna, Sepideh Pashami, Stefan Byttner, Mohamed-Rafik Bouguelia, Markus Lingman, Awais Ashfaq, Antanas Verikas, KC Santosh and S. Werner. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.
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.