John Palowitch
Impact in
Papers in
-
- Advanced Graph Neural Networks 2
- Privacy-Preserving Technologies in Data 1
- Bayesian Modeling and Causal Inference 1
- Semantic Web and Ontologies 1
- Co-authors
- Bryan Perozzi (2 shared papers)Andrew B. Nobel (2 shared papers)Anton Tsitsulin (1 shared paper)Shankar Bhamidi (1 shared paper)James Wilson (1 shared paper)Yi‐Hui Zhou (1 shared paper)Andrey A. Shabalin (1 shared paper)Fred A. Wright (1 shared paper)
- Journals
- Biometrics (1 paper)UNC Libraries (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United States
In The Last Decade
John Palowitch
5 papers receiving 33 citations
Peers
Comparison fields: 5 of 24
- Computational Mathematics 1
- Health Informatics 1
- Statistical and Nonlinear Physics 8
- Safety Research 5
- Artificial Intelligence 18
Countries citing papers authored by John Palowitch
This map shows the geographic impact of John Palowitch'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 John Palowitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Palowitch more than expected).
Fields of papers citing papers by John Palowitch
This network shows the impact of papers produced by John Palowitch. 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 John Palowitch. The network helps show where John Palowitch may publish in the future.
Co-authors
The 18 scholars most cited alongside John Palowitch, 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 | 2022 | 12 | |
| 2 | 2020 | 7 | |
| 3 | 2024 | 6 | |
| 4 | 2017 | 5 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 0 |
About John Palowitch
John Palowitch is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Transportation, having authored 6 papers that have together received 33 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (2 papers), Graph Theory and Algorithms (1 paper), Privacy-Preserving Technologies in Data (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper), Bayesian Modeling and Causal Inference (1 paper), Semantic Web and Ontologies (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Computational Mathematics (1 citation), Health Informatics (1 citation), Statistical and Nonlinear Physics (8 citations), Safety Research (5 citations) and Artificial Intelligence (18 citations). John Palowitch has collaborated with scholars based in United States. Frequent co-authors include Bryan Perozzi, Andrew B. Nobel, Anton Tsitsulin, Shankar Bhamidi, James Wilson, Yi‐Hui Zhou, Andrey A. Shabalin, Fred A. Wright, Yi Tay and Silvia Chiappa. Their work appears in journals such as Biometrics, UNC Libraries and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.