Igor V. Kutnyakov

54 total papers · 1.4k total citations
20 papers, 777 citations indexed

About

Igor V. Kutnyakov is a scholar working on Biomedical Engineering, Mechanical Engineering and Inorganic Chemistry. According to data from OpenAlex, Igor V. Kutnyakov has authored 20 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Mechanical Engineering and 6 papers in Inorganic Chemistry. Recurrent topics in Igor V. Kutnyakov's work include Thermochemical Biomass Conversion Processes (9 papers), Biodiesel Production and Applications (5 papers) and Catalysis and Hydrodesulfurization Studies (5 papers). Igor V. Kutnyakov is often cited by papers focused on Thermochemical Biomass Conversion Processes (9 papers), Biodiesel Production and Applications (5 papers) and Catalysis and Hydrodesulfurization Studies (5 papers). Igor V. Kutnyakov collaborates with scholars based in United States, Germany and Canada. Igor V. Kutnyakov's co-authors include Daniel I. Kaplan, Kent E. Parker, Daniel M. Santosa, Huamin Wang, Phillip Koech, R.S. Vemuri, David J. Heldebrant, Atanu Kumar Das, Radha Kishan Motkuri and B. Peter McGrail and has published in prestigious journals such as Environmental Science & Technology, Energy & Environmental Science and Geochimica et Cosmochimica Acta.

In The Last Decade

Igor V. Kutnyakov

19 papers receiving 754 citations

Author Peers

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

Author						Papers	Cites
Igor V. Kutnyakov	341	313	241	154	95	20	777
Izabela Majchrzak‐Kucęba	204 0.6×	367 1.2×	235 1.0×	261 1.7×	86 0.9×	38	745
Fan Shi	248 0.7×	506 1.6×	238 1.0×	229 1.5×	58 0.6×	27	900
Yanan Guan	216 0.6×	142 0.5×	104 0.4×	253 1.6×	135 1.4×	31	737
Lihong Wei	385 1.1×	194 0.6×	88 0.4×	260 1.7×	83 0.9×	54	837
Guanhe Rim	243 0.7×	600 1.9×	125 0.5×	146 0.9×	54 0.6×	27	836
R. Torregrosa	225 0.7×	250 0.8×	196 0.8×	339 2.2×	45 0.5×	9	874
Lin Mei Wu	347 1.0×	166 0.5×	53 0.2×	158 1.0×	76 0.8×	9	699
Bo Yan	431 1.3×	215 0.7×	134 0.6×	314 2.0×	112 1.2×	34	801
T. Vincent Verheyen	386 1.1×	551 1.8×	28 0.1×	87 0.6×	74 0.8×	41	906
Ying Wang	190 0.6×	291 0.9×	47 0.2×	319 2.1×	128 1.3×	40	746

Countries citing papers authored by Igor V. Kutnyakov

Since Specialization

Citations

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

Fields of papers citing papers by Igor V. Kutnyakov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor V. Kutnyakov. 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 Igor V. Kutnyakov. The network helps show where Igor V. Kutnyakov may publish in the future.

Co-authorship network of co-authors of Igor V. Kutnyakov

This figure shows the co-authorship network connecting the top 25 collaborators of Igor V. Kutnyakov. A scholar is included among the top collaborators of Igor V. Kutnyakov 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 Igor V. Kutnyakov. Igor V. Kutnyakov 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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