Paweł Pełka
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Building and Construction
- Computer Vision and Pattern Recognition
- Topics
- Energy Load and Power Forecasting (11 papers)Stock Market Forecasting Methods (5 papers)Forecasting Techniques and Applications (3 papers)
- Cited by
- Management Science and Operations ResearchElectrical and Electronic EngineeringBuilding and Construction
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- PolandUnited StatesFinland
In The Last Decade
Paweł Pełka
11 papers receiving 210 citations
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 163
- Management Science and Operations Research 86
- Artificial Intelligence 43
- Building and Construction 33
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Paweł Pełka
This map shows the geographic impact of Paweł Pełka'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 Paweł Pełka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paweł Pełka more than expected).
Fields of papers citing papers by Paweł Pełka
This network shows the impact of papers produced by Paweł Pełka. 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 Paweł Pełka. The network helps show where Paweł Pełka may publish in the future.
Co-authorship network of co-authors of Paweł Pełka
This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Pełka. A scholar is included among the top collaborators of Paweł Pełka 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 Paweł Pełka. Paweł Pełka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 24 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 125 | |
| 8 | 10 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | Bisphosphonate – related osteonecrosis of the jaws | 0 |
About Paweł Pełka
Paweł Pełka is a scholar working on Management Science and Operations Research, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering, having authored 13 papers that have together received 216 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (11 papers), Stock Market Forecasting Methods (5 papers) and Forecasting Techniques and Applications (3 papers). The work is most often cited by research in Management Science and Operations Research (86 citations), Electrical and Electronic Engineering (163 citations) and Building and Construction (33 citations). Paweł Pełka has collaborated with scholars based in Poland, United States and Finland. Frequent co-authors include Grzegorz Dudek, Slawek Smyl, Boris N. Oreshkin and Małgorzata Załęska. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.
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.