Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Nonlinear Analysis - Theory and Methods
2019354 citationsVicenţiu D. Rădulescu, Dušan Repovš et al.profile →
Partial Differential Equations with Variable Exponents
2015302 citationsVicenţiu D. Rădulescu, Dušan Repovšprofile →
This map shows the geographic impact of Dušan Repovš'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 Dušan Repovš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dušan Repovš more than expected).
This network shows the impact of papers produced by Dušan Repovš. 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 Dušan Repovš. The network helps show where Dušan Repovš may publish in the future.
Co-authorship network of co-authors of Dušan Repovš
This figure shows the co-authorship network connecting the top 25 collaborators of Dušan Repovš.
A scholar is included among the top collaborators of Dušan Repovš 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 Dušan Repovš. Dušan Repovš is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bisci, Giovanni Molica, et al.. (2020). Existence results for some problems on Riemannian manifolds. Repository of the University of Ljubljana (University of Ljubljana).2 indexed citations
7.
Bisci, Giovanni Molica & Dušan Repovš. (2020). Gradient-type systems on unbounded domains of the Heisenberg group. Repository of the University of Ljubljana (University of Ljubljana).6 indexed citations
8.
Repovš, Dušan & Andreĭ Vesnin. (2019). On Gehring-Martin-Tan groups with an elliptic generator. Repository of the University of Ljubljana (University of Ljubljana).
9.
Bisci, Giovanni Molica, et al.. (2019). Multiple solutions of nonlinear equations involving the square root of the Laplacian. Repository of the University of Ljubljana (University of Ljubljana).1 indexed citations
10.
Bisci, Giovanni Molica & Dušan Repovš. (2019). On doubly nonlocal fractional elliptic equations. Repository of the University of Ljubljana (University of Ljubljana).10 indexed citations
11.
Repovš, Dušan, et al.. (2019). Homotopy classification of ▫$PD_4$▫-complexes relative an order relation. Repository of the University of Ljubljana (University of Ljubljana).1 indexed citations
12.
Банах, Тарас & Dušan Repovš. (2019). Sequential rectifiable spaces of countable ▫$mathrm{cs}^ast$▫-character. Repository of the University of Ljubljana (University of Ljubljana).5 indexed citations
13.
Bisci, Giovanni Molica, Dušan Repovš, & Raffaella Servadei. (2019). Nontrivial solutions of superlinear nonlocal problems. Repository of the University of Ljubljana (University of Ljubljana).5 indexed citations
Mihăilescu, Mihai & Dušan Repovš. (2011). An eigenvalue problem involving a degenerate and singular\n elliptic operator. Project Euclid (Cornell University).1 indexed citations
17.
Repovš, Dušan, et al.. (2008). A new invariant of higher-dimensional embeddings. arXiv (Cornell University).1 indexed citations
Muranov, Yu. V. & Dušan Repovš. (1999). Spherical fibrations and L -groups. Russian Mathematical Surveys. 54(2). 445–447.1 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.