Ivan Dimov

130 papers receiving 1.3k citations

Peers

Ivan Dimov
Comparison fields: 5 of 121
  • Numerical Analysis 271
  • Statistics, Probability and Uncertainty 180
  • Computational Mathematics 11
  • Statistical and Nonlinear Physics 151
  • Computational Theory and Mathematics 189
Replace Martin Buhmann with:
Martin Buhmann Germany
Ward Cheney United States
Thomas Gerstner Germany
Stephen Nash United States
F. R. de Hoog Australia
Kaj Madsen Denmark
Gregory E. Fasshauer United States
Stephen G. Nash United States
Cornelis W. Oosterlee Netherlands
José Luis Morales Mexico
Ivan Dimov relative to Martin Buhmann Germany Martin Buhmann's profile →
Citations per field
00.5×1.6×
Martin Buhmann · 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 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007108
2 200753
3
Computational and Numerical Challenges in Environmental Modelling
200650
4 200949
5 201635
6 201134
7 199828
8 201528
9 201427
10 201526
11 202026
12 199424
13 201421
14 200720
15 200619
16 199619
17 201219
18 201218
19 200418
20 201418

About Ivan Dimov

Ivan Dimov is a scholar working on Numerical Analysis, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Environmental Engineering and Computational Theory and Mathematics, having authored 145 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (30 papers), Probabilistic and Robust Engineering Design (21 papers), Quantum and electron transport phenomena (20 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers), Scientific Research and Discoveries (13 papers), Numerical methods for differential equations (12 papers), Advanced Numerical Methods in Computational Mathematics (10 papers) and Matrix Theory and Algorithms (10 papers). The work is most often cited by research in Numerical Analysis (271 citations), Statistics, Probability and Uncertainty (180 citations), Computational Mathematics (11 citations), Statistical and Nonlinear Physics (151 citations) and Computational Theory and Mathematics (189 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, Mihail Nedjalkov, Tzvetan Ostromsky, Krassimir Georgiev, István Faragó, S. Selberherr, Aneta Karaivanova and Vassil Alexandrov. Their work appears in journals such as Mathematics and Computers in Simulation, Journal of Computational and Applied Mathematics, Computers & Mathematics with Applications, Physica A Statistical Mechanics and its Applications 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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