Dejan Slepčev

2.6k citations
43 papers · 1.3k · h-index 19

Impact in

Papers in

Dejan Slepčev

42 papers receiving 1.2k citations

Peers

Dejan Slepčev
Comparison fields: 5 of 110
  • Modeling and Simulation 216
  • Applied Mathematics 387
  • Mathematical Physics 166
  • Computational Theory and Mathematics 277
  • Statistics and Probability 109
Replace Adam M. Oberman with:
Adam M. Oberman Canada
Steve Abbott United States
Filippo Santambrogio France
Jean‐David Benamou France
Wilfrid Gangbo United States
Giuseppe Buttazzo Italy
Stanly Steinberg United States
Selim Esedoḡlu United States
Wuchen Li United States
J. C. Mason United Kingdom
Dejan Slepčev relative to Adam M. Oberman Canada Adam M. Oberman's profile →
Citations per field
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Adam M. Oberman · 1×
Citations per year

Countries citing papers authored by Dejan Slepčev

Since Specialization
Citations

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

Fields of papers citing papers by Dejan Slepčev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dejan Slepčev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dejan Slepčev Line = papers co-authored together Dejan Slepčev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017233
2 2011168
3 2012100
4 200960
5 201058
6 201552
7 201952
8 201052
9 200645
10 201444
11 201842
12 200834
13 201534
14 201731
15 200528
16 200226
17 201625
18 201124
19 201319
20 200816

About Dejan Slepčev

Dejan Slepčev is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Computational Mechanics, Mathematical Physics and Geometry and Topology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (12 papers), Advanced Mathematical Modeling in Engineering (12 papers), Geometric Analysis and Curvature Flows (11 papers), Geometry and complex manifolds (5 papers), Medical Image Segmentation Techniques (4 papers), Numerical methods in inverse problems (4 papers), Topological and Geometric Data Analysis (4 papers) and Mathematical Biology Tumor Growth (4 papers). The work is most often cited by research in Modeling and Simulation (216 citations), Applied Mathematics (387 citations), Mathematical Physics (166 citations), Computational Theory and Mathematics (277 citations) and Statistics and Probability (109 citations). Dejan Slepčev has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Gustavo K. Rohde, Nicolás García Trillos, José A. Carrillo, Matthew Thorpe, Soheil Kolouri, Thomas Laurent, Alessio Figalli, Marco Di Francesco, Wei Wang and John A. Ozolek. Their work appears in journals such as Calculus of Variations and Partial Differential Equations, SIAM Journal on Mathematical Analysis, Nonlinear Analysis, Interfaces and Free Boundaries Mathematical Analysis Computation and Applications and Nonlinearity.

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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