Dejan Plavšić
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Geometry and Topology top 0.5%
- Organic Chemistry top 5%
- Materials Chemistry
- Co-authors
- Milan RandićNenad TrinajstićNella LeršSonja NikolićZlatko MihalićMarjan VračkoMarjana NovičAlexandrù T. Balaban
- Topics
- Graph theory and applications (28 papers)Computational Drug Discovery Methods (23 papers)Fractal and DNA sequence analysis (20 papers)
- Partner nations
- CroatiaSloveniaUnited States
In The Last Decade
Dejan Plavšić
78 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 916
- Computational Theory and Mathematics 693
- Geometry and Topology 677
- Organic Chemistry 547
- Materials Chemistry 182
Countries citing papers authored by Dejan Plavšić
This map shows the geographic impact of Dejan Plavšić'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 Dejan Plavšić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejan Plavšić more than expected).
Fields of papers citing papers by Dejan Plavšić
This network shows the impact of papers produced by Dejan Plavšić. 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 Dejan Plavšić. The network helps show where Dejan Plavšić may publish in the future.
Co-authorship network of co-authors of Dejan Plavšić
This figure shows the co-authorship network connecting the top 25 collaborators of Dejan Plavšić. A scholar is included among the top collaborators of Dejan Plavšić 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 Dejan Plavšić. Dejan Plavšić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 10 | |
| 7 | 18 | |
| 8 | On Canonical Numbering of Carbon Atoms in Fullerenes: C60 Buckminsterfullerene | 2 |
| 9 | Novel graphical and numerical representations of DNA | 4 |
| 10 | Characterization of 2-D Proteome Maps Based on the Nearest Neighborhoods of Spots | 8 |
| 11 | 7 | |
| 12 | 34 | |
| 13 | On the concept of molecular complexity | 26 |
| 14 | On calculation of molecular descriptors based on various graphical bond orders | 1 |
| 15 | 4 | |
| 16 | On the Calculation of the Path Numbers 1Z, 2Z and the Hosoya Z Index | 1 |
| 17 | Relation between the Wiener Index and the Schultz Index for Several Classes of Chemical Graphs | 16 |
| 18 | The Conjugated-Circuits Model: On the Selection of the Parameters | 10 |
| 19 | 7 | |
| 20 | Chemical Graph Theory. V. On the Classification of Topological Biradicals | 4 |
About Dejan Plavšić
Dejan Plavšić is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Graph theory and applications (28 papers), Computational Drug Discovery Methods (23 papers) and Fractal and DNA sequence analysis (20 papers). The work is most often cited by research in Geometry and Topology (677 citations), Computational Theory and Mathematics (693 citations) and Organic Chemistry (547 citations). Dejan Plavšić has collaborated with scholars based in Croatia, Slovenia and United States. Frequent co-authors include Milan Randić, Nenad Trinajstić, Nella Lerš, Sonja Nikolić, Zlatko Mihalić, Marjan Vračko, Marjana Novič, Alexandrù T. Balaban, Dražen Vikić‐Topić and Dragan Amić. Their work appears in journals such as Chemical Reviews, The Journal of Chemical Physics and The Journal of Physical Chemistry.
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.