Daniel Nurkowski
Impact in
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- Catalysis and Oxidation Reactions
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- Advanced Combustion Engine Technologies
Papers in
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- Catalysis and Oxidation Reactions 5
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- Catalytic Processes in Materials Science 5
- Thermal and Kinetic Analysis 5
- Machine Learning in Materials Science 3
- Co-authors
- Markus Kraft (19 shared papers)Jethro Akroyd (18 shared papers)Sebastian Mosbach (11 shared papers)Angiras Menon (6 shared papers)Feroz Farazi (4 shared papers)Maurin Salamanca (1 shared paper)Amit Bhave (2 shared papers)Nenad Krdzavac (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Proceedings of the Combustion Institute (2 papers)Applied Energy (2 papers)ACS Omega (2 papers)Computers & Chemical Engineering (1 paper)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Daniel Nurkowski
19 papers receiving 449 citations
Peers
Comparison fields: 5 of 71
- Catalysis 44
- Fluid Flow and Transfer Processes 36
- Information Systems and Management 38
- Materials Chemistry 197
- Water Science and Technology 40
Countries citing papers authored by Daniel Nurkowski
This map shows the geographic impact of Daniel Nurkowski'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 Nurkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nurkowski more than expected).
Fields of papers citing papers by Daniel Nurkowski
This network shows the impact of papers produced by Daniel Nurkowski. 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 Nurkowski. The network helps show where Daniel Nurkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Nurkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2020 | 56 | |
| 3 | 2016 | 40 | |
| 4 | 2020 | 38 | |
| 5 | 2022 | 36 | |
| 6 | 2019 | 35 | |
| 7 | 2015 | 30 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 26 | |
| 10 | 2014 | 26 | |
| 11 | 2021 | 21 | |
| 12 | 2016 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2022 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2019 | 7 | |
| 18 | 2017 | 5 | |
| 19 | 2021 | 1 |
About Daniel Nurkowski
Daniel Nurkowski is a scholar working on Catalysis, Materials Chemistry, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Automotive Engineering, having authored 19 papers that have together received 466 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Catalytic Processes in Materials Science (5 papers), Catalysis and Oxidation Reactions (5 papers), Thermal and Kinetic Analysis (5 papers), Advanced Chemical Physics Studies (4 papers), Service-Oriented Architecture and Web Services (3 papers), Machine Learning in Materials Science (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Catalysis (44 citations), Fluid Flow and Transfer Processes (36 citations), Information Systems and Management (38 citations), Materials Chemistry (197 citations) and Water Science and Technology (40 citations). Daniel Nurkowski has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Markus Kraft, Jethro Akroyd, Sebastian Mosbach, Angiras Menon, Feroz Farazi, Maurin Salamanca, Amit Bhave, Nenad Krdzavac, Nick Anthony Eaves and Neal M. Morgan. Their work appears in journals such as Journal of Chemical Information and Modeling, Proceedings of the Combustion Institute, Applied Energy, ACS Omega and Computers & Chemical Engineering.
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.