Zoran Obradović
About
In The Last Decade
Zoran Obradović
297 papers receiving 19.2k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Molecular Biology 14.4k
- Materials Chemistry 4.5k
- Cell Biology 1.7k
- Spectroscopy 1.4k
- Genetics 1.2k
Countries citing papers authored by Zoran Obradović
This map shows the geographic impact of Zoran Obradović'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 Zoran Obradović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoran Obradović more than expected).
Fields of papers citing papers by Zoran Obradović
This network shows the impact of papers produced by Zoran Obradović. 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 Zoran Obradović. The network helps show where Zoran Obradović may publish in the future.
Co-authorship network of co-authors of Zoran Obradović
This figure shows the co-authorship network connecting the top 25 collaborators of Zoran Obradović. A scholar is included among the top collaborators of Zoran Obradović 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 Zoran Obradović. Zoran Obradović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 88 | |
| 10 | 42 | |
| 11 | Casting a Wider Net: Data Driven Discovery of Proxies for Target Diagnoses. | 1 |
| 12 | Readmission Classification Using Stacked Regularized Logistic Regression Models. | 3 |
| 13 | 13 | |
| 14 | 7 | |
| 15 | Efficient Learning from Massive Spatial-Temporal Data through Selective Support Vector Propagation | 2 |
| 16 | 22 | |
| 17 | The unpredictability of soil fertility across space and time. | 1 |
| 18 | A tool for controlled knowledge discovery in spatial domains | 5 |
| 19 | Distributed clustering and local regression for knowledge discovery in multiple spatial databases. | 19 |
| 20 | Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions | 7 |
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.