Ari Krakowski
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Teaching and Learning Programming
Papers in
-
- Teaching and Learning Programming 5
- Online Learning and Analytics 2
-
- TGF-β signaling in diseases 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Co-authors
- Kunxin Luo (3 shared papers)Jennifer S. Park (1 shared paper)Daojing Wang (1 shared paper)Julia Chu (1 shared paper)David J. Chen (1 shared paper)Song Li (1 shared paper)Alain Mauviel (1 shared paper)Julien Laboureau (1 shared paper)
- Journals
- Journal of Science Education and Technology (1 paper)Journal of Biological Chemistry (1 paper)Curator The Museum Journal (1 paper)Proceedings of the National Academy of Sciences (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Ari Krakowski
12 papers receiving 419 citations
Peers
Comparison fields: 5 of 72
- Genetics 105
- Computer Science Applications 52
- Molecular Biology 211
- Health Informatics 4
- Biomaterials 41
Countries citing papers authored by Ari Krakowski
This map shows the geographic impact of Ari Krakowski'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 Ari Krakowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari Krakowski more than expected).
Fields of papers citing papers by Ari Krakowski
This network shows the impact of papers produced by Ari Krakowski. 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 Ari Krakowski. The network helps show where Ari Krakowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Ari Krakowski, 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 | 2004 | 202 | |
| 2 | 2006 | 83 | |
| 3 | 2005 | 64 | |
| 4 | 2023 | 33 | |
| 5 | 2022 | 22 | |
| 6 | 2024 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 3 | |
| 10 | 2020 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2025 | 0 |
About Ari Krakowski
Ari Krakowski is a scholar working on Computer Science Applications, Molecular Biology, Developmental and Educational Psychology, Safety Research and Artificial Intelligence, having authored 14 papers that have together received 425 indexed citations. Recurring topics across this work include Teaching and Learning Programming (5 papers), Educational Games and Gamification (3 papers), TGF-β signaling in diseases (3 papers), Ethics and Social Impacts of AI (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Innovative Teaching and Learning Methods (2 papers), Online Learning and Analytics (2 papers) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Genetics (105 citations), Computer Science Applications (52 citations), Molecular Biology (211 citations), Health Informatics (4 citations) and Biomaterials (41 citations). Ari Krakowski has collaborated with scholars based in United States and France. Frequent co-authors include Kunxin Luo, Jennifer S. Park, Daojing Wang, Julia Chu, David J. Chen, Song Li, Alain Mauviel, Julien Laboureau, Mina J. Bissell and Eric Greenwald. Their work appears in journals such as Journal of Science Education and Technology, Journal of Biological Chemistry, Curator The Museum Journal, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.
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.