Tomasz Dyakowski

30 total papers · 816 total citations
17 papers, 655 citations indexed

About

Tomasz Dyakowski is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Tomasz Dyakowski has authored 17 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Computational Mechanics and 6 papers in Mechanical Engineering. Recurrent topics in Tomasz Dyakowski's work include Electrical and Bioimpedance Tomography (8 papers), Mineral Processing and Grinding (6 papers) and Granular flow and fluidized beds (4 papers). Tomasz Dyakowski is often cited by papers focused on Electrical and Bioimpedance Tomography (8 papers), Mineral Processing and Grinding (6 papers) and Granular flow and fluidized beds (4 papers). Tomasz Dyakowski collaborates with scholars based in United Kingdom, Poland and South Korea. Tomasz Dyakowski's co-authors include Artur J. Jaworski, Laurent F.C. Jeanmeure, William Zimmerman, Sin Kim, Maciej Niedostatkiewicz, Dominik Sankowski, N.M. White, J. M. Hale, Chenggang Xie and G.A. Davies and has published in prestigious journals such as Powder Technology, Measurement Science and Technology and International Communications in Heat and Mass Transfer.

In The Last Decade

Tomasz Dyakowski

17 papers receiving 624 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tomasz Dyakowski	458	268	251	169	166	17	655
B.T. Hjertaker	355 0.8×	383 1.4×	147 0.6×	379 2.2×	50 0.3×	35	771
A.L. Stott	514 1.1×	285 1.1×	168 0.7×	216 1.3×	31 0.2×	16	661
Benyuan Sun	458 1.0×	375 1.4×	249 1.0×	185 1.1×	37 0.2×	34	718
Tuomo Savolainen	704 1.5×	379 1.4×	211 0.8×	206 1.2×	18 0.1×	20	793
Sebastian Thiele	233 0.5×	293 1.1×	221 0.9×	356 2.1×	70 0.4×	41	741
G. Oddie	99 0.2×	154 0.6×	328 1.3×	327 1.9×	79 0.5×	15	659
Martina Bieberle	118 0.3×	105 0.4×	187 0.7×	403 2.4×	215 1.3×	40	657
Lokman A. Abdulkareem	94 0.2×	144 0.5×	290 1.2×	555 3.3×	179 1.1×	40	719
C. Zippe	119 0.3×	130 0.5×	175 0.7×	434 2.6×	150 0.9×	18	603
Zhang Xian	71 0.2×	91 0.3×	200 0.8×	175 1.0×	152 0.9×	11	583

Countries citing papers authored by Tomasz Dyakowski

Since Specialization

Citations

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

Fields of papers citing papers by Tomasz Dyakowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Dyakowski

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Dyakowski. A scholar is included among the top collaborators of Tomasz Dyakowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomasz Dyakowski. Tomasz Dyakowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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