Damir Vukičević
About
In The Last Decade
Damir Vukičević
120 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Geometry and Topology 2.1k
- Computational Theory and Mathematics 1.8k
- Organic Chemistry 1.4k
- Molecular Biology 353
- Materials Chemistry 266
Countries citing papers authored by Damir Vukičević
This map shows the geographic impact of Damir Vukičević'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 Damir Vukičević with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damir Vukičević more than expected).
Fields of papers citing papers by Damir Vukičević
This network shows the impact of papers produced by Damir Vukičević. 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 Damir Vukičević. The network helps show where Damir Vukičević may publish in the future.
Co-authorship network of co-authors of Damir Vukičević
This figure shows the co-authorship network connecting the top 25 collaborators of Damir Vukičević. A scholar is included among the top collaborators of Damir Vukičević 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 Damir Vukičević. Damir Vukičević is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bond Additive Modeling 6. Randomness vs. Design | 3 |
| 2 | Bond-additive Modeling. 3. Comparison between the Product-connectivity Index and Sum-connectivity Index | 6 |
| 3 | 28 | |
| 4 | Bond Additive Modeling 2. Mathematical Properties of Max-min Rodeg Index | 64 |
| 5 | Comparison of genetic and morphological data for inferring similarity among native Dalmatian (Croatia) grapevine cultivars (Vitis vinifera L.) | 14 |
| 6 | Comparing variable Zagreb M1 and M2 indices for acyclic molecules | 6 |
| 7 | Hosoya Matrices as the Numerical Realization of Graphical Matrices and Derived Structural Descriptors | 2 |
| 8 | Compact Valence Sequences for Molecules with Single, Double and Triple Covalent Bonds. II. Graphs with Non-trivial Cycles | 0 |
| 9 | Zagreb Indices: Extension to Weighted Graphs Representing Molecules Containing Heteroatoms | 16 |
| 10 | A Graph Theoretical Method for Partial Ordering of Alkanes | 2 |
| 11 | Global forcing number of grid graphs | 16 |
| 12 | On Algebraic and Geometric Kekulé Structures in Benzenoid Rotagraphs | 1 |
| 13 | Formal model for assessing the suitability of a competition system in basketball | 1 |
| 14 | Thorny graphs. I. Valence connectivities | 1 |
| 15 | Compact Valence Sequences for Molecules with Single, Double and Triple Covalent Bonds | 0 |
| 16 | On Canonical Numbering of Carbon Atoms in Fullerenes: C60 Buckminsterfullerene | 2 |
| 17 | Altered Wiener indices | 1 |
| 18 | Valence Connectivity versus Randić, Zagreb and Modified Zagreb Index: A Linear Algorithm to Check Discriminative Properties of Indices in Acyclic Molecular Graphs | 40 |
| 19 | Which Valence Connectivities Realize Monocyclic Molecules: Generating Algorithm and Its Application to Test Discriminative Properties of the Zagreb and Modified Zagreb Indices | 4 |
| 20 | Modified Zagreb M-2 index - Comparison with the Randic connectivity index for benzenoid systems | 8 |
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.