Tomasz Suchocki

36 total papers · 588 total citations
29 papers, 435 citations indexed

About

Tomasz Suchocki is a scholar working on Biomedical Engineering, Mechanical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Tomasz Suchocki has authored 29 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 10 papers in Mechanical Engineering and 8 papers in Fluid Flow and Transfer Processes. Recurrent topics in Tomasz Suchocki's work include Thermochemical Biomass Conversion Processes (10 papers), Advanced Combustion Engine Technologies (8 papers) and Biodiesel Production and Applications (7 papers). Tomasz Suchocki is often cited by papers focused on Thermochemical Biomass Conversion Processes (10 papers), Advanced Combustion Engine Technologies (8 papers) and Biodiesel Production and Applications (7 papers). Tomasz Suchocki collaborates with scholars based in Poland, Finland and Ukraine. Tomasz Suchocki's co-authors include Piotr Lampart, Łukasz Witanowski, Paweł Kazimierski, Piotr Klonowicz, Katarzyna Januszewicz, Bartosz Gawron, Tomasz Białecki, Dariusz Kardaś, Justyna Łuczak and Jacek Hunicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and Fuel.

In The Last Decade

Tomasz Suchocki

27 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Tomasz Suchocki	169	156	90	88	66	29	435
Waldyr Luiz Ribeiro Gallo	117 0.7×	187 1.2×	91 1.0×	39 0.4×	59 0.9×	39	437
Dimitrios M. Korres	223 1.3×	75 0.5×	186 2.1×	40 0.5×	79 1.2×	25	483
Munzer S. Y. Ebaid	84 0.5×	144 0.9×	32 0.4×	65 0.7×	47 0.7×	26	468
Do Won Kang	59 0.3×	303 1.9×	53 0.6×	87 1.0×	83 1.3×	30	470
Vsevolod D. Savelenko	268 1.6×	90 0.6×	144 1.6×	39 0.4×	86 1.3×	28	427
A. J. Simon	114 0.7×	90 0.6×	141 1.6×	32 0.4×	110 1.7×	17	385
Qize He	150 0.9×	75 0.5×	29 0.3×	159 1.8×	32 0.5×	35	463
Binash Imteyaz	87 0.5×	81 0.5×	152 1.7×	93 1.1×	207 3.1×	29	491
Bartosz Gawron	134 0.8×	39 0.3×	213 2.4×	126 1.4×	80 1.2×	35	396
Minsung Choi	141 0.8×	95 0.6×	125 1.4×	44 0.5×	229 3.5×	28	402

Countries citing papers authored by Tomasz Suchocki

Since Specialization

Citations

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

Fields of papers citing papers by Tomasz Suchocki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Suchocki

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Suchocki. A scholar is included among the top collaborators of Tomasz Suchocki 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 Suchocki. Tomasz Suchocki 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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