Petar Simić
- Artificial Intelligence top 10%
- Nuclear and High Energy Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Molecular Biology
- Co-authors
- Andrea GiansantiVesna ĆorićAna Savić-RadojevićMarija Plješa-ErcegovacDjurdja JerotićTatjana DjukićŽeljko MikovićDragan Šimić
- Topics
- Neural Networks and Applications (4 papers)Genomics, phytochemicals, and oxidative stress (3 papers)Glutathione Transferases and Polymorphisms (3 papers)
- Cited by
- Nuclear and High Energy PhysicsComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- United StatesSerbia
In The Last Decade
Petar Simić
10 papers receiving 289 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 127
- Nuclear and High Energy Physics 100
- Computer Vision and Pattern Recognition 89
- Computer Networks and Communications 28
- Molecular Biology 27
Countries citing papers authored by Petar Simić
This map shows the geographic impact of Petar Simić'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 Petar Simić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petar Simić more than expected).
Fields of papers citing papers by Petar Simić
This network shows the impact of papers produced by Petar Simić. 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 Petar Simić. The network helps show where Petar Simić may publish in the future.
Co-authorship network of co-authors of Petar Simić
This figure shows the co-authorship network connecting the top 25 collaborators of Petar Simić. A scholar is included among the top collaborators of Petar Simić 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 Petar Simić. Petar Simić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 51 | |
| 8 | 92 | |
| 9 | 50 | |
| 10 | 10 | |
| 11 | 43 | |
| 12 | 53 |
About Petar Simić
Petar Simić is a scholar working on Reproductive Medicine, Nuclear and High Energy Physics and Information Systems and Management, having authored 12 papers that have together received 312 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Glutathione Transferases and Polymorphisms (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (100 citations), Computer Vision and Pattern Recognition (89 citations) and Artificial Intelligence (127 citations). Petar Simić has collaborated with scholars based in United States and Serbia. Frequent co-authors include Andrea Giansanti, Vesna Ćorić, Ana Savić-Radojević, Marija Plješa-Ercegovac, Djurdja Jerotić, Tatjana Djukić, Željko Miković, Dragan Šimić, Zlatibor Lončar and N. Zečević. Their work appears in journals such as Physical Review Letters, International Journal of Molecular Sciences and Neural Computation.
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.