G. Peev

555 citations
42 papers · 419 · h-index 11

Impact in

Papers in

G. Peev

40 papers receiving 401 citations

Peers

G. Peev
Comparison fields: 5 of 78
  • Fluid Flow and Transfer Processes 42
  • Biochemistry 32
  • Computational Mechanics 97
  • Water Science and Technology 52
  • Food Science 66
Replace Heiko Thielking with:
Heiko Thielking Germany
Barbara Rogé France
Luis Castillo Henríquez Costa Rica
Attasak Jaree Thailand
Maria Elena Santos Taqueda Brazil
Shafirah Samsuri Malaysia
Yanping Xin China
N. Vlachos Greece
W.J. Coumans Netherlands
Sining Li China
G. Peev relative to Heiko Thielking Germany Heiko Thielking's profile →
Citations per field
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Heiko Thielking · 1×
Citations per year

Countries citing papers authored by G. Peev

Since Specialization
Citations

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

Fields of papers citing papers by G. Peev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside G. Peev, 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 G. Peev Line = papers co-authored together G. Peev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201075
2 201749
3 201148
4 200338
5 196923
6 199015
7 199113
8 197812
9 199711
10 201110
11 200210
12 200610
13 199210
14 20089
15 20079
16 19817
17 19706
18 19976
19 19756
20 19906

About G. Peev

G. Peev is a scholar working on Computational Mechanics, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Fluid Flow and Transfer Processes, having authored 42 papers that have together received 419 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (12 papers), Rheology and Fluid Dynamics Studies (7 papers), Solidification and crystal growth phenomena (5 papers), Heat and Mass Transfer in Porous Media (4 papers), Semiconductor materials and devices (4 papers), Silicon Nanostructures and Photoluminescence (4 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Granular flow and fluidized beds (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (42 citations), Biochemistry (32 citations), Computational Mechanics (97 citations), Water Science and Technology (52 citations) and Food Science (66 citations). G. Peev has collaborated with scholars based in Bulgaria, United Kingdom and United States. Frequent co-authors include Dimitar Peshev, Ludmila Peeva, Inês Baptista, A. T. Boam, Dimitar Mitev, J.B. Harris, W.L. Wilkinson, V. Beschkov, Chr. Boyadjiev and Bartosz Tylkowski. Their work appears in journals such as Chemical Engineering and Processing - Process Intensification, Thin Solid Films, Chemical Engineering Science, Journal of Applied Polymer Science and Rheologica Acta.

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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