Ivan Dimov

3.1k citations
227 papers · 2.0k · h-index 23

Impact in

Papers in

Ivan Dimov

199 papers receiving 1.9k citations

Peers

Ivan Dimov
Comparison fields: 5 of 128
  • Numerical Analysis 529
  • Statistics, Probability and Uncertainty 351
  • Computational Mathematics 20
  • Statistical and Nonlinear Physics 295
  • Computational Theory and Mathematics 311
Replace Zahari Zlatev with:
Zahari Zlatev Denmark
Stephen Nash United States
Klaus Ritter Germany
F. R. de Hoog Australia
Fausto Saleri Italy
Thomas Gerstner Germany
Martin Buhmann Germany
Robert Scheichl United Kingdom
Frances Y. Kuo Australia
Ward Cheney United States
Ivan Dimov relative to Zahari Zlatev Denmark Zahari Zlatev's profile →
Citations per field
00.5×
Zahari Zlatev · 1×
Citations per year

Countries citing papers authored by Ivan Dimov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Dimov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Dimov, 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 Ivan Dimov Line = papers co-authored together Ivan Dimov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 227 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007126
2
Computational and Numerical Challenges in Environmental Modelling
200680
3 200772
4 200961
5 201644
6 199438
7 199837
8 201136
9 201530
10 201429
11 202028
12 200128
13 199327
14 201527
15 200126
16 199824
17 201223
18 200423
19 201323
20 199622

About Ivan Dimov

Ivan Dimov is a scholar working on Numerical Analysis, Atomic and Molecular Physics, and Optics, Statistics, Probability and Uncertainty, Computational Mechanics and Statistical and Nonlinear Physics, having authored 227 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (52 papers), Probabilistic and Robust Engineering Design (41 papers), Scientific Research and Discoveries (28 papers), Quantum and electron transport phenomena (24 papers), Numerical methods for differential equations (19 papers), Differential Equations and Numerical Methods (19 papers), Matrix Theory and Algorithms (19 papers) and Advancements in Semiconductor Devices and Circuit Design (17 papers). The work is most often cited by research in Numerical Analysis (529 citations), Statistics, Probability and Uncertainty (351 citations), Computational Mathematics (20 citations), Statistical and Nonlinear Physics (295 citations) and Computational Theory and Mathematics (311 citations). Ivan Dimov has collaborated with scholars based in Bulgaria, United Kingdom and Denmark. Frequent co-authors include Zahari Zlatev, Jean Michel Sellier, Rayna Georgieva, Tzvetan Ostromsky, Mihail Nedjalkov, Aneta Karaivanova, Krassimir Georgiev, István Faragó, Vassil Alexandrov and S. Selberherr. Their work appears in journals such as Mathematics and Computers in Simulation, Journal of Computational and Applied Mathematics, Computers & Mathematics with Applications, Lecture notes in computer science and Neural Computing and Applications.

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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