Kacper Pilarczyk
- Electrical and Electronic Engineering
- Materials Chemistry
- Renewable Energy, Sustainability and the Environment top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- Konrad SzaciłowskiAgnieszka PodborskaPrzemysław KwolekKrzysztof MechTomasz TokarskiWojciech MacykMateusz MarzecMarcin Oszajca
- Topics
- Advanced Memory and Neural Computing (6 papers)Gas Sensing Nanomaterials and Sensors (4 papers)Advanced Photocatalysis Techniques (4 papers)
- Partner nations
- PolandUnited KingdomDenmark
In The Last Decade
Kacper Pilarczyk
21 papers receiving 431 citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 224
- Materials Chemistry 189
- Renewable Energy, Sustainability and the Environment 124
- Cellular and Molecular Neuroscience 60
- Artificial Intelligence 55
Countries citing papers authored by Kacper Pilarczyk
This map shows the geographic impact of Kacper Pilarczyk'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 Kacper Pilarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kacper Pilarczyk more than expected).
Fields of papers citing papers by Kacper Pilarczyk
This network shows the impact of papers produced by Kacper Pilarczyk. 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 Kacper Pilarczyk. The network helps show where Kacper Pilarczyk may publish in the future.
Co-authorship network of co-authors of Kacper Pilarczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Kacper Pilarczyk. A scholar is included among the top collaborators of Kacper Pilarczyk 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 Kacper Pilarczyk. Kacper Pilarczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 49 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 29 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 37 | |
| 12 | 44 | |
| 13 | 27 | |
| 14 | 24 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | 28 | |
| 18 | 3 | |
| 19 | 30 | |
| 20 | 23 |
About Kacper Pilarczyk
Kacper Pilarczyk is a scholar working on Bioengineering, Electrochemistry and Renewable Energy, Sustainability and the Environment, having authored 21 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (124 citations), Bioengineering (24 citations) and Materials Chemistry (189 citations). Kacper Pilarczyk has collaborated with scholars based in Poland, United Kingdom and Denmark. Frequent co-authors include Konrad Szaciłowski, Agnieszka Podborska, Przemysław Kwolek, Krzysztof Mech, Tomasz Tokarski, Wojciech Macyk, Mateusz Marzec, Marcin Oszajca, Marcin Kobielusz and Monika Warzecha. Their work appears in journals such as Nature Communications, Applied Physics Letters and Chemical Communications.
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.