T. Da̧broś

2.2k citations
45 papers · 1.8k · h-index 23

Impact in

Papers in

T. Da̧broś

45 papers receiving 1.7k citations

Peers

T. Da̧broś
Comparison fields: 5 of 96
  • Ocean Engineering 812
  • Analytical Chemistry 440
  • Physical and Theoretical Chemistry 371
  • Surfaces, Coatings and Films 182
  • Water Science and Technology 358
Replace Graham H. Neale with:
Graham H. Neale Canada
Koichi Takamura Canada
Tadeusz Dąbroś Canada
Stoyan I. Karakashev Bulgaria
V.I. Kovalchuk Germany
Hassan Hamza Canada
Zhenquan Li China
Spencer E. Taylor United Kingdom
B. Radoev Bulgaria
T. Da̧broś relative to Graham H. Neale Canada Graham H. Neale's profile →
Citations per field
00.5×1.5×2.2×
Graham H. Neale · 1×
Citations per year

Countries citing papers authored by T. Da̧broś

Since Specialization
Citations

This map shows the geographic impact of T. Da̧broś'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 T. Da̧broś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Da̧broś more than expected).

Fields of papers citing papers by T. Da̧broś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983217
2 1983147
3 2003142
4 1982111
5 199998
6 200092
7 198091
8 200769
9 199964
10 198556
11 199852
12 199952
13 200846
14 201544
15 199443
16 200440
17 201340
18 198937
19 197737
20 199235

About T. Da̧broś

T. Da̧broś is a scholar working on Ocean Engineering, Computational Mechanics, Materials Chemistry, Organic Chemistry and Electrical and Electronic Engineering, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Particle Dynamics in Fluid Flows (16 papers), Enhanced Oil Recovery Techniques (12 papers), Surfactants and Colloidal Systems (8 papers), Petroleum Processing and Analysis (7 papers), Aerosol Filtration and Electrostatic Precipitation (7 papers), Granular flow and fluidized beds (7 papers), Material Dynamics and Properties (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Ocean Engineering (812 citations), Analytical Chemistry (440 citations), Physical and Theoretical Chemistry (371 citations), Surfaces, Coatings and Films (182 citations) and Water Science and Technology (358 citations). T. Da̧broś has collaborated with scholars based in Canada, Poland and United States. Frequent co-authors include Theo G. M. van de Ven, Jan Czarnecki, Jacob H. Masliyah, Anthony Yeung, Zbǐgniew Adamczyk, Hassan Hamza, Jiangying Wu, Yuming Xu, Yan Xu and K. Małysa. Their work appears in journals such as Journal of Colloid and Interface Science, Colloids and Surfaces A Physicochemical and Engineering Aspects, Langmuir, Energy & Fuels and The Canadian Journal of Chemical 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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