Igor Krawczuk
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Ethics and Social Impacts of AI
Papers in
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- Ferroelectric and Negative Capacitance Devices 3
- Advanced Memory and Neural Computing 3
- Semiconductor materials and devices 2
- Co-authors
- Yusuf Leblebici (3 shared papers)Elmira Shahrabi (3 shared papers)Shahar Avin (1 shared paper)Adrian Weller (1 shared paper)Noa Zilberman (1 shared paper)Markus Anderljung (1 shared paper)David Krueger (1 shared paper)Gretchen Krueger (1 shared paper)
- Journals
- Small Methods (1 paper)Science (1 paper)Complexity (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)
- Partner nations
- SwitzerlandCanadaUnited Kingdom
In The Last Decade
Igor Krawczuk
7 papers receiving 52 citations
Peers
Comparison fields: 5 of 33
- Health Informatics 9
- Safety Research 13
- Cellular and Molecular Neuroscience 10
- Cognitive Neuroscience 9
- Artificial Intelligence 14
Countries citing papers authored by Igor Krawczuk
This map shows the geographic impact of Igor Krawczuk'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 Igor Krawczuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Krawczuk more than expected).
Fields of papers citing papers by Igor Krawczuk
This network shows the impact of papers produced by Igor Krawczuk. 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 Igor Krawczuk. The network helps show where Igor Krawczuk may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Krawczuk, 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 | 2021 | 29 | |
| 2 | 2016 | 10 | |
| 3 | 2019 | 8 | |
| 4 | Effect of metal buffer layer and thermal annealing on HfOx-based ReRAMs | 2016 | 4 |
| 5 | GG-GAN: A Geometric Graph Generative Adversarial Network | 2021 | 2 |
| 6 | 2022 | 1 | |
| 7 | Closed loop deep Bayesian inversion: Uncertainty driven acquisition for fast MRI | 2019 | 1 |
| 8 | 2025 | 0 |
About Igor Krawczuk
Igor Krawczuk is a scholar working on Electrical and Electronic Engineering, Communication, Political Science and International Relations, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 55 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (3 papers), Advanced Memory and Neural Computing (3 papers), Semiconductor materials and devices (2 papers), Opinion Dynamics and Social Influence (1 paper), Neuroscience and Neural Engineering (1 paper), Electoral Systems and Political Participation (1 paper), Force Microscopy Techniques and Applications (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (9 citations), Safety Research (13 citations), Cellular and Molecular Neuroscience (10 citations), Cognitive Neuroscience (9 citations) and Artificial Intelligence (14 citations). Igor Krawczuk has collaborated with scholars based in Switzerland, Canada and United Kingdom. Frequent co-authors include Yusuf Leblebici, Elmira Shahrabi, Shahar Avin, Adrian Weller, Noa Zilberman, Markus Anderljung, David Krueger, Gretchen Krueger, Jonathan Lebensold and Tegan Maharaj. Their work appears in journals such as Small Methods, Science, Complexity and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.