Daniel Gajda
Impact in
- Condensed Matter Physics top 2%
- Superconductivity in MgB2 and Alloys
- Physics of Superconductivity and Magnetism
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- Iron-based superconductors research
- Magnetic Properties of Alloys
Papers in
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- Superconductivity in MgB2 and Alloys 70
- Physics of Superconductivity and Magnetism 58
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- Iron-based superconductors research 40
- Co-authors
- A. Morawski (43 shared papers)A. Zaleski (52 shared papers)Tomasz Cetner (27 shared papers)Md. Shahriar A. Hossain (17 shared papers)M. Rindfleisch (16 shared papers)Hakan Yetiş (17 shared papers)İ. Belenli (17 shared papers)Fırat Karaboğa (13 shared papers)
In The Last Decade
Daniel Gajda
76 papers receiving 847 citations
Peers
Comparison fields: 5 of 37
- Condensed Matter Physics 769
- Electronic, Optical and Magnetic Materials 435
- Biomaterials 137
- Materials Chemistry 210
- Biomedical Engineering 122
Countries citing papers authored by Daniel Gajda
This map shows the geographic impact of Daniel Gajda'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 Daniel Gajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gajda more than expected).
Fields of papers citing papers by Daniel Gajda
This network shows the impact of papers produced by Daniel Gajda. 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 Daniel Gajda. The network helps show where Daniel Gajda may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gajda, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 51 | |
| 2 | 2024 | 36 | |
| 3 | 2016 | 28 | |
| 4 | 2014 | 24 | |
| 5 | 2013 | 23 | |
| 6 | 2018 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2015 | 23 | |
| 10 | 2015 | 22 | |
| 11 | 2017 | 22 | |
| 12 | 2016 | 21 | |
| 13 | 2017 | 21 | |
| 14 | 2013 | 21 | |
| 15 | 2015 | 21 | |
| 16 | 2017 | 21 | |
| 17 | 2016 | 20 | |
| 18 | 2007 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2016 | 19 |
About Daniel Gajda
Daniel Gajda is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Materials Chemistry, Biomedical Engineering and Biomaterials, having authored 83 papers that have together received 859 indexed citations. Recurring topics across this work include Superconductivity in MgB2 and Alloys (70 papers), Physics of Superconductivity and Magnetism (58 papers), Iron-based superconductors research (40 papers), Superconducting Materials and Applications (15 papers), Magnesium Alloys: Properties and Applications (13 papers), Hydrogen Storage and Materials (5 papers), Particle accelerators and beam dynamics (5 papers) and Metal and Thin Film Mechanics (4 papers). The work is most often cited by research in Condensed Matter Physics (769 citations), Electronic, Optical and Magnetic Materials (435 citations), Biomaterials (137 citations), Materials Chemistry (210 citations) and Biomedical Engineering (122 citations). Daniel Gajda has collaborated with scholars based in Poland, Australia and Türkiye. Frequent co-authors include A. Morawski, A. Zaleski, Tomasz Cetner, Md. Shahriar A. Hossain, M. Rindfleisch, Hakan Yetiş, İ. Belenli, Fırat Karaboğa, Mustafa Akdoğan and M. Małecka. Their work appears in journals such as Superconductor Science and Technology, Journal of Alloys and Compounds, Materials, Journal of Applied Physics and Physica C Superconductivity.
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.