S. Tabakova

806 citations
34 papers · 546 · h-index 14

Impact in

Papers in

S. Tabakova

32 papers receiving 525 citations

Peers

S. Tabakova
Comparison fields: 5 of 83
  • Surfaces, Coatings and Films 89
  • Computational Mechanics 253
  • Fluid Flow and Transfer Processes 71
  • Automotive Engineering 74
  • Biomedical Engineering 156
Replace S. Mortazavi with:
S. Mortazavi Iran
Ari Jäsberg Finland
John P. Kizito United States
Kevin Ellwood United States
Alain de Ryck France
Seyed Mahmood Mousavi Iran
T. D. Papathanasiou United States
Zhenyu Yang China
Xiaodong Chen China
A. Sevilla Spain
S. Tabakova relative to S. Mortazavi Iran S. Mortazavi's profile →
Citations per field
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S. Mortazavi · 1×
Citations per year

Countries citing papers authored by S. Tabakova

Since Specialization
Citations

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

Fields of papers citing papers by S. Tabakova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199976
2 201964
3 200950
4 201439
5 200439
6 201838
7 200934
8 198228
9 200923
10 198217
11 202316
12 202015
13
FUNDAMENTAL SCIENCES AND APPLICATIONS
200915
14 202115
15 201513
16
Series A - Pure and Applied Mathematics
200612
17 201511
18 20187
19 20116
20 20195

About S. Tabakova

S. Tabakova is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Biomedical Engineering, Automotive Engineering and Materials Chemistry, having authored 34 papers that have together received 546 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (10 papers), Rheology and Fluid Dynamics Studies (9 papers), Fluid Dynamics and Thin Films (7 papers), Nanofluid Flow and Heat Transfer (5 papers), Lattice Boltzmann Simulation Studies (5 papers), Fluid Dynamics and Heat Transfer (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Surface Modification and Superhydrophobicity (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (89 citations), Computational Mechanics (253 citations), Fluid Flow and Transfer Processes (71 citations), Automotive Engineering (74 citations) and Biomedical Engineering (156 citations). S. Tabakova has collaborated with scholars based in Bulgaria, France and Italy. Frequent co-authors include Z. Zapryanov, François Feuillebois, Rumiana Kotsilkova, Virginie Daru, Anne Mongruel, Елена Николова, Krassimir D. Danov, Vincenzo Tucci, Clara Silvestre and Giovanni Spinelli. Their work appears in journals such as Zeitschrift für angewandte Mathematik und Physik, Journal of Colloid and Interface Science, Mechanics of Time-Dependent Materials, Physics of Fluids and Composites Part B Engineering.

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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