G. Peev

550 citations
42 papers · 441 · h-index 10

Impact in

Papers in

G. Peev

40 papers receiving 420 citations

Peers

G. Peev
Comparison fields: 5 of 83
  • Fluid Flow and Transfer Processes 43
  • Biochemistry 33
  • Computational Mechanics 105
  • Water Science and Technology 62
  • Food Science 63
Replace Heiko Thielking with:
Heiko Thielking Germany
N.J.M. Kuipers Netherlands
Akira Nonaka Japan
Barbora Lapčí­ková Czechia
Shafirah Samsuri Malaysia
Attasak Jaree Thailand
Maria Elena Santos Taqueda Brazil
Yanping Xin China
José M. Aragón Spain
W.J. Coumans Netherlands
G. Peev relative to Heiko Thielking Germany Heiko Thielking's profile →
Citations per field
00.5×2×2.9×
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 201084
2 201756
3 201151
4 200338
5 196923
6 199016
7 199114
8 200611
9 197811
10 201110
11 199210
12 200810
13 200210
14 20079
15 19907
16 19907
17 19817
18 19876
19 19976
20 19706

About G. Peev

G. Peev is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Materials Chemistry, Biomedical Engineering and Food Science, having authored 42 papers that have together received 441 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (13 papers), Rheology and Fluid Dynamics Studies (7 papers), Heat and Mass Transfer in Porous Media (5 papers), Solidification and crystal growth phenomena (5 papers), Silicon Nanostructures and Photoluminescence (4 papers), Semiconductor materials and devices (4 papers), Granular flow and fluidized beds (3 papers) and Lattice Boltzmann Simulation Studies (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (43 citations), Biochemistry (33 citations), Computational Mechanics (105 citations), Water Science and Technology (62 citations) and Food Science (63 citations). G. Peev has collaborated with scholars based in Bulgaria, United Kingdom and United States. Frequent co-authors include Dimitar Peshev, Ludmila Georgieva Peeva, Ines I. R. Baptista, Andrew T. Boam, Dimitar P. Mitev, J.B. Harris, William L. Wilkinson, Chr. Boyadjiev, Venko N. Beschkov and Bartosz Tylkowski. Their work appears in journals such as Thin Solid Films, Chemical Engineering and Processing - Process Intensification, Chemical Engineering Science, Semiconductor Science and Technology and Heat and Mass Transfer.

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.

Explore authors with similar magnitude of impact