Stefan Vuckovic

897 total citations
27 papers, 529 citations indexed

About

Stefan Vuckovic is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Stefan Vuckovic has authored 27 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 10 papers in Materials Chemistry and 4 papers in Spectroscopy. Recurrent topics in Stefan Vuckovic's work include Advanced Chemical Physics Studies (16 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and Machine Learning in Materials Science (9 papers). Stefan Vuckovic is often cited by papers focused on Advanced Chemical Physics Studies (16 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and Machine Learning in Materials Science (9 papers). Stefan Vuckovic collaborates with scholars based in Netherlands, United States and Italy. Stefan Vuckovic's co-authors include Paola Gori‐Giorgi, Kieron Burke, Eunji Sim, Suhwan Song, Fabio Della Sala, Eduardo Fabiano, Tom J. P. Irons, Tim Gould, Andrew M. Teale and Lucas O. Wagner and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Stefan Vuckovic

26 papers receiving 522 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Vuckovic Netherlands 15 368 211 80 56 50 27 529
Martina Stella United Kingdom 10 398 1.1× 199 0.9× 88 1.1× 96 1.7× 85 1.7× 13 605
Chong Peng China 11 248 0.7× 158 0.7× 91 1.1× 58 1.0× 52 1.0× 24 459
Max Schwilk Germany 9 394 1.1× 170 0.8× 132 1.6× 63 1.1× 79 1.6× 10 523
Daniel Mejı́a-Rodrı́guez United States 15 298 0.8× 236 1.1× 72 0.9× 70 1.3× 42 0.8× 27 537
Janus J. Eriksen Denmark 16 484 1.3× 177 0.8× 133 1.7× 59 1.1× 118 2.4× 32 661
Patrick Bleiziffer Germany 11 280 0.8× 224 1.1× 52 0.7× 35 0.6× 94 1.9× 14 524
Lan Nguyen Tran Japan 14 466 1.3× 161 0.8× 109 1.4× 101 1.8× 59 1.2× 29 675
Gyula Samu Hungary 7 414 1.1× 190 0.9× 152 1.9× 63 1.1× 91 1.8× 8 675
Duminda S. Ranasinghe United States 13 241 0.7× 253 1.2× 45 0.6× 57 1.0× 65 1.3× 23 497

Countries citing papers authored by Stefan Vuckovic

Since Specialization
Citations

This map shows the geographic impact of Stefan Vuckovic'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 Stefan Vuckovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Vuckovic more than expected).

Fields of papers citing papers by Stefan Vuckovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Vuckovic. 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 Stefan Vuckovic. The network helps show where Stefan Vuckovic may publish in the future.

Co-authorship network of co-authors of Stefan Vuckovic

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Vuckovic. A scholar is included among the top collaborators of Stefan Vuckovic 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 Stefan Vuckovic. Stefan Vuckovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fabiano, Eduardo, et al.. (2025). Møller–Plesset Adiabatic Connection Theory for Diverse Noncovalent Interactions. The Journal of Physical Chemistry Letters. 16(31). 7898–7908. 1 indexed citations
2.
Vuckovic, Stefan, et al.. (2025). Real-space machine learning of correlation density functionals. Nature Communications. 16(1). 11306–11306.
3.
Vuckovic, Stefan, et al.. (2025). Exact Moller–Plesset Adiabatic Connection Correlation Energy Densities. Journal of Chemical Theory and Computation. 21(11). 5501–5513. 3 indexed citations
4.
Gould, Tim, Bun Chan, Stephen G. Dale, & Stefan Vuckovic. (2024). Identifying and embedding transferability in data-driven representations of chemical space. Chemical Science. 15(28). 11122–11133. 14 indexed citations
5.
Gould, Tim, et al.. (2024). Deep Mind 21 functional does not extrapolate to transition metal chemistry. Physical Chemistry Chemical Physics. 26(16). 12289–12298. 13 indexed citations
6.
Song, Suhwan, et al.. (2023). Extending density functional theory with near chemical accuracy beyond pure water. Nature Communications. 14(1). 799–799. 24 indexed citations
7.
Fabiano, Eduardo, et al.. (2023). Correction to “Noncovalent Interactions from Models for the Møller–Plesset Adiabatic Connection”. The Journal of Physical Chemistry Letters. 14(6). 1478–1478. 1 indexed citations
8.
Fabiano, Eduardo, et al.. (2023). Regularized and Opposite Spin-Scaled Functionals from Møller–Plesset Adiabatic Connection─Higher Accuracy at Lower Cost. The Journal of Physical Chemistry Letters. 14(38). 8448–8459. 11 indexed citations
9.
Vuckovic, Stefan. (2023). Using AI to navigate through the DFA zoo. Nature Computational Science. 3(1). 6–7. 1 indexed citations
10.
Vuckovic, Stefan, et al.. (2022). Density functionals based on the mathematical structure of the strong‐interaction limit of DFT. Wiley Interdisciplinary Reviews Computational Molecular Science. 13(2). 19 indexed citations
11.
Vuckovic, Stefan. (2022). Quantification of Geometric Errors Made Simple: Application to Main-Group Molecular Structures. The Journal of Physical Chemistry A. 126(7). 1300–1311. 6 indexed citations
12.
Sim, Eunji, Suhwan Song, Stefan Vuckovic, & Kieron Burke. (2022). Improving Results by Improving Densities: Density-Corrected Density Functional Theory. Journal of the American Chemical Society. 144(15). 6625–6639. 78 indexed citations
13.
Fabiano, Eduardo, et al.. (2021). Noncovalent Interactions from Models for the Møller–Plesset Adiabatic Connection. The Journal of Physical Chemistry Letters. 12(20). 4867–4875. 23 indexed citations
14.
Song, Suhwan, Stefan Vuckovic, Eunji Sim, & Kieron Burke. (2021). Density Sensitivity of Empirical Functionals. The Journal of Physical Chemistry Letters. 12(2). 800–807. 37 indexed citations
15.
Gerrits, Nick, et al.. (2020). Density Functional Theory for Molecule–Metal Surface Reactions: When Does the Generalized Gradient Approximation Get It Right, and What to Do If It Does Not. The Journal of Physical Chemistry Letters. 11(24). 10552–10560. 56 indexed citations
16.
Vuckovic, Stefan, Paola Gori‐Giorgi, Fabio Della Sala, & Eduardo Fabiano. (2018). Restoring Size Consistency of Approximate Functionals Constructed from the Adiabatic Connection. The Journal of Physical Chemistry Letters. 9(11). 3137–3142. 25 indexed citations
17.
Vuckovic, Stefan, et al.. (2018). Response Potential in the Strong-Interaction Limit of Density Functional Theory: Analysis and Comparison with the Coupling-Constant Average. Journal of Chemical Theory and Computation. 14(8). 4151–4167. 20 indexed citations
18.
Vuckovic, Stefan, Tom J. P. Irons, Lucas O. Wagner, Andrew M. Teale, & Paola Gori‐Giorgi. (2017). Interpolated energy densities, correlation indicators and lower bounds from approximations to the strong coupling limit of DFT. Physical Chemistry Chemical Physics. 19(8). 6169–6183. 27 indexed citations
19.
Vuckovic, Stefan & Paola Gori‐Giorgi. (2017). Simple Fully Nonlocal Density Functionals for Electronic Repulsion Energy. The Journal of Physical Chemistry Letters. 8(13). 2799–2805. 26 indexed citations
20.
Seidl, Michael, Stefan Vuckovic, & Paola Gori‐Giorgi. (2016). Challenging the Lieb–Oxford bound in a systematic way. Molecular Physics. 114(7-8). 1076–1085. 20 indexed citations

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.

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