Michał D. Bajczyk
- Materials Chemistry
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Biomedical Engineering
- Organic Chemistry
- Co-authors
- Bartosz A. GrzybowskiSara SzymkućPiotr DittwaldEwa GajewskaTomasz KlucznikKarol MolgaMichał StartekLeroy Cronin
- Topics
- Computational Drug Discovery Methods (6 papers)Gene Regulatory Network Analysis (4 papers)Machine Learning in Materials Science (3 papers)
- Partner nations
- PolandSouth KoreaUnited Kingdom
In The Last Decade
Michał D. Bajczyk
9 papers receiving 509 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Materials Chemistry 293
- Computational Theory and Mathematics 283
- Molecular Biology 224
- Biomedical Engineering 113
- Organic Chemistry 49
Countries citing papers authored by Michał D. Bajczyk
This map shows the geographic impact of Michał D. Bajczyk'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 D. Bajczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał D. Bajczyk more than expected).
Fields of papers citing papers by Michał D. Bajczyk
This network shows the impact of papers produced by Michał D. Bajczyk. 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 D. Bajczyk. The network helps show where Michał D. Bajczyk may publish in the future.
Co-authorship network of co-authors of Michał D. Bajczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Michał D. Bajczyk. A scholar is included among the top collaborators of Michał D. Bajczyk 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 Michał D. Bajczyk. Michał D. Bajczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 25 | |
| 3 | 21 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | Computer‐Assisted Synthetic Planning: The End of the Beginningbreakdown → | 406 |
| 9 | 34 |
About Michał D. Bajczyk
Michał D. Bajczyk is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 520 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Gene Regulatory Network Analysis (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Computational Theory and Mathematics (283 citations), Materials Chemistry (293 citations) and Molecular Biology (224 citations). Michał D. Bajczyk has collaborated with scholars based in Poland, South Korea and United Kingdom. Frequent co-authors include Bartosz A. Grzybowski, Sara Szymkuć, Piotr Dittwald, Ewa Gajewska, Tomasz Klucznik, Karol Molga, Michał Startek, Leroy Cronin, Liam Wilbraham and Agnieszka Wołos. Their work appears in journals such as Angewandte Chemie International Edition, Scientific Reports and Science Advances.
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.