Milica Todorović
- Materials Chemistry top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computational Theory and Mathematics top 5%
- Co-authors
- Patrick RinkeAnnika StukeKunal GhoshPeter Bjørn JørgensenAki VehtariMikkel N. SchmidtRúben PérezHarry Mönig
- Topics
- Machine Learning in Materials Science (16 papers)Surface and Thin Film Phenomena (8 papers)Force Microscopy Techniques and Applications (6 papers)
- Journals
- Nature CommunicationsThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
In The Last Decade
Milica Todorović
42 papers receiving 810 citations
Peers
Comparison fields: 5 of 104
- Materials Chemistry 423
- Atomic and Molecular Physics, and Optics 245
- Electrical and Electronic Engineering 215
- Biomedical Engineering 150
- Computational Theory and Mathematics 108
Countries citing papers authored by Milica Todorović
This map shows the geographic impact of Milica Todorović'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 Milica Todorović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milica Todorović more than expected).
Fields of papers citing papers by Milica Todorović
This network shows the impact of papers produced by Milica Todorović. 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 Milica Todorović. The network helps show where Milica Todorović may publish in the future.
Co-authorship network of co-authors of Milica Todorović
This figure shows the co-authorship network connecting the top 25 collaborators of Milica Todorović. A scholar is included among the top collaborators of Milica Todorović 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 Milica Todorović. Milica Todorović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 47 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 36 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 36 | |
| 16 | 23 | |
| 17 | 19 | |
| 18 | 190 | |
| 19 | 2 | |
| 20 | 45 |
About Milica Todorović
Milica Todorović is a scholar working on Structural Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 43 papers that have together received 827 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (16 papers), Surface and Thin Film Phenomena (8 papers) and Force Microscopy Techniques and Applications (6 papers). The work is most often cited by research in Structural Biology (31 citations), Materials Chemistry (423 citations) and Atomic and Molecular Physics, and Optics (245 citations). Milica Todorović has collaborated with scholars based in Finland, Germany and Spain. Frequent co-authors include Patrick Rinke, Annika Stuke, Kunal Ghosh, Peter Bjørn Jørgensen, Aki Vehtari, Mikkel N. Schmidt, Rúben Pérez, Harry Mönig, Udo D. Schwarz and David R. Bowler. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.