Michał Jasiński
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Smart Grid Energy Management 29
- Power Quality and Harmonics 16
- Energy Load and Power Forecasting 16
- Electric Vehicles and Infrastructure 14
- Optimal Power Flow Distribution 12
- Electric Power System Optimization 11
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- Microgrid Control and Optimization 17
- Co-authors
- Zbigniew Leonowicz (90 shared papers)Elżbieta Jasińska (32 shared papers)Arnab Kumar Maji (8 shared papers)Radomír Goňo (21 shared papers)Sk Mahmudul Hassan (4 shared papers)Prąsun Chakrabarti (11 shared papers)Tomasz Sikorski (26 shared papers)Arsalan Najafi (21 shared papers)
In The Last Decade
Michał Jasiński
116 papers receiving 2.5k citations
Michał Jasiński's Hit Papers
Peers
Comparison fields: 5 of 142
- Energy Engineering and Power Technology 143
- Health Information Management 168
- Automotive Engineering 237
- Control and Systems Engineering 444
- Electrical and Electronic Engineering 1.1k
Countries citing papers authored by Michał Jasiński
This map shows the geographic impact of Michał Jasiński'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 Michał Jasiński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Jasiński more than expected).
Fields of papers citing papers by Michał Jasiński
This network shows the impact of papers produced by Michał Jasiński. 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 Michał Jasiński. The network helps show where Michał Jasiński may publish in the future.
Co-authors
The 25 scholars most cited alongside Michał Jasiński, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach Hit paper breakdown → | 2021 | 299 |
| 2 | Prediction of Chronic Kidney Disease - A Machine Learning Perspective Hit paper breakdown → | 2021 | 182 |
| 3 | Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey Hit paper breakdown → | 2022 | 121 |
| 4 | 2022 | 90 | |
| 5 | 2022 | 68 | |
| 6 | 2023 | 65 | |
| 7 | 2021 | 62 | |
| 8 | 2022 | 61 | |
| 9 | 2021 | 60 | |
| 10 | 2022 | 58 | |
| 11 | 2022 | 57 | |
| 12 | 2021 | 55 | |
| 13 | 2019 | 53 | |
| 14 | 2021 | 48 | |
| 15 | 2021 | 48 | |
| 16 | 2023 | 44 | |
| 17 | 2020 | 44 | |
| 18 | 2003 | 43 | |
| 19 | 2023 | 42 | |
| 20 | 2022 | 41 |
About Michał Jasiński
Michał Jasiński is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Automotive Engineering and Renewable Energy, Sustainability and the Environment, having authored 127 papers that have together received 2.7k indexed citations. Recurring topics across this work include Smart Grid Energy Management (29 papers), Microgrid Control and Optimization (17 papers), Power Quality and Harmonics (16 papers), Energy Load and Power Forecasting (16 papers), Electric Vehicles and Infrastructure (14 papers), Optimal Power Flow Distribution (12 papers), Advanced Battery Technologies Research (12 papers) and Electric Power System Optimization (11 papers). The work is most often cited by research in Energy Engineering and Power Technology (143 citations), Health Information Management (168 citations), Automotive Engineering (237 citations), Control and Systems Engineering (444 citations) and Electrical and Electronic Engineering (1.1k citations). Michał Jasiński has collaborated with scholars based in Poland, Czechia and India. Frequent co-authors include Zbigniew Leonowicz, Elżbieta Jasińska, Arnab Kumar Maji, Radomír Goňo, Sk Mahmudul Hassan, Prąsun Chakrabarti, Tomasz Sikorski, Arsalan Najafi, Vishnu Suresh and Vadim Bolshev. Their work appears in journals such as Energies, Electronics, IEEE Access, Sustainability and Applied Energy.
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.