A. Zuranski
About
In The Last Decade
A. Zuranski
7 papers receiving 375 citations
Peers
Comparison fields: 5 of 48
- Materials Chemistry 197
- Computational Theory and Mathematics 137
- Organic Chemistry 136
- Molecular Biology 71
- Biomedical Engineering 69
Countries citing papers authored by A. Zuranski
This map shows the geographic impact of A. Zuranski'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 A. Zuranski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Zuranski more than expected).
Fields of papers citing papers by A. Zuranski
This network shows the impact of papers produced by A. Zuranski. 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 A. Zuranski. The network helps show where A. Zuranski may publish in the future.
Co-authorship network of co-authors of A. Zuranski
This figure shows the co-authorship network connecting the top 25 collaborators of A. Zuranski. A scholar is included among the top collaborators of A. Zuranski 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 A. Zuranski. A. Zuranski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | On the use of real-world datasets for reaction yield prediction | Chemical Science | Mandana Saebi, John E. Herr et al. | 80 |
| 2 | A Machine Learning Approach to Model Interaction Effects: Development and Application to Alcohol Deoxyfluorination | Journal of the American Chemical Society | A. Zuranski, Shivaani S. Gandhi et al. | 16 |
| 3 | Auto-QChem: an automated workflow for the generation and storage of DFT calculations for organic molecules | Reaction Chemistry & Engineering | A. Zuranski, Benjamin J. Shields et al. | 30 |
| 4 | Using Data Science To Guide Aryl Bromide Substrate Scope Analysis in a Ni/Photoredox-Catalyzed Cross-Coupling with Acetals as Alcohol-Derived Radical Sources | Journal of the American Chemical Society | Stavros K. Kariofillis, A. Zuranski et al. | 136 |
| 5 | Predicting Reaction Yields via Supervised Learning | Accounts of Chemical Research | A. Zuranski, Jesus I. Martinez Alvarado et al. | 117 |
| 6 | Study of the LHC ghost charge and satellite bunches for luminosity calibration. | CERN Document Server (European Organization for Nuclear Research) | A. Alici, P. Hopchev et al. | 2 |
| 7 | STUDY OF THE RELATIVE LHC BUNCH POPULATIONS FOR LUMINOSITY CALIBRATION | CERN Document Server (European Organization for Nuclear Research) | C. F. Anders, C. Gabaldon et al. | 2 |
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.