Igor Novosselov

2.7k total citations
97 papers, 1.8k citations indexed

About

Igor Novosselov is a scholar working on Health, Toxicology and Mutagenesis, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Igor Novosselov has authored 97 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Health, Toxicology and Mutagenesis, 24 papers in Computational Mechanics and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Igor Novosselov's work include Air Quality and Health Impacts (18 papers), Combustion and flame dynamics (16 papers) and Air Quality Monitoring and Forecasting (16 papers). Igor Novosselov is often cited by papers focused on Air Quality and Health Impacts (18 papers), Combustion and flame dynamics (16 papers) and Air Quality Monitoring and Forecasting (16 papers). Igor Novosselov collaborates with scholars based in United States, China and Kenya. Igor Novosselov's co-authors include Brian R. Pinkard, Yifei Guan, John C. Kramlich, Philip C. Malte, Edmund Seto, Elena Austin, Per G. Reinhall, Michael G. Yost, Jianna Li and Alberto Aliseda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Applied Physics Letters.

In The Last Decade

Igor Novosselov

91 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Igor Novosselov United States 25 447 423 390 306 286 97 1.8k
Renato Rota Italy 34 868 1.9× 772 1.8× 175 0.4× 273 0.9× 121 0.4× 170 3.4k
Marco Derudi Italy 24 516 1.2× 270 0.6× 219 0.6× 185 0.6× 71 0.2× 87 1.7k
Cari S. Dutcher United States 30 320 0.7× 503 1.2× 240 0.6× 779 2.5× 250 0.9× 87 2.2k
Michael Wensing Germany 24 947 2.1× 398 0.9× 673 1.7× 108 0.4× 203 0.7× 136 2.3k
Derek Dunn‐Rankin United States 31 1.8k 4.0× 540 1.3× 103 0.3× 114 0.4× 811 2.8× 150 3.6k
Mostafa Barigou United Kingdom 34 1.1k 2.5× 1.4k 3.4× 124 0.3× 115 0.4× 202 0.7× 107 3.5k
Edward N. Fuller United States 6 351 0.8× 726 1.7× 177 0.5× 263 0.9× 353 1.2× 11 2.4k
C. Gutfinger Israel 25 1.1k 2.4× 314 0.7× 373 1.0× 257 0.8× 588 2.1× 94 2.6k
Nam‐Jin Kim South Korea 25 64 0.1× 169 0.4× 124 0.3× 173 0.6× 350 1.2× 97 1.9k

Countries citing papers authored by Igor Novosselov

Since Specialization
Citations

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

Fields of papers citing papers by Igor Novosselov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Novosselov

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Novosselov. A scholar is included among the top collaborators of Igor Novosselov 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 Novosselov. Igor Novosselov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Avery, Ally R., Elena Austin, John Scott Meschke, et al.. (2025). Using low-cost sensors and GPS to assess spatiotemporal variations in personal exposure to PM2.5 in the Washington State Twin Registry. Environmental Research. 286(Pt 2). 122941–122941.
2.
Li, Jianna, et al.. (2025). Ammonia and organic carbon transformation in autogenic continuous flow supercritical water oxidation reactor. Journal of environmental chemical engineering. 13(5). 117910–117910.
3.
Price, Benjamin, et al.. (2024). Dielectric barrier discharge actuators: Momentum injection into co-flow and counter-flow freestream. Journal of Electrostatics. 129. 103918–103918. 3 indexed citations
4.
Beck, Nicola K., et al.. (2024). Surface Virus Inactivation by Impinging Flow Nonthermal Plasma Reactor. IEEE Transactions on Plasma Science. 52(4). 1129–1136. 2 indexed citations
5.
Denis, Elizabeth, et al.. (2023). Standoff trace explosives vapor detection at meter distances. Talanta. 270. 125562–125562. 1 indexed citations
6.
7.
Huang, Ching-Hsuan, et al.. (2022). Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season. Atmospheric Environment. 285. 119244–119244. 26 indexed citations
8.
Huang, Ching-Hsuan, et al.. (2022). Performance of Textile Mask Materials in Varied Humidity: Filtration Efficiency, Breathability, and Quality Factor. Applied Sciences. 12(18). 9360–9360. 3 indexed citations
9.
Mamishev, Alexander, et al.. (2021). Empirical relations for discharge current and momentum injection in dielectric barrier discharge plasma actuators. Journal of Physics D Applied Physics. 54(24). 245204–245204. 11 indexed citations
10.
Chen, Shiyu, et al.. (2021). Characterization of Inkjet-Printed Digital Microfluidics Devices. Sensors. 21(9). 3064–3064. 9 indexed citations
11.
Chan, Daniel C.N., et al.. (2021). Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network. Sensors. 21(11). 3928–3928. 12 indexed citations
12.
Larson, Timothy V., et al.. (2021). Source apportionment of environmental combustion sources using excitation emission matrix fluorescence spectroscopy and machine learning. Atmospheric Environment. 259. 118501–118501. 5 indexed citations
13.
Majumdar, Arka, et al.. (2021). Solid-phase excitation-emission matrix spectroscopy for chemical analysis of combustion aerosols. PLoS ONE. 16(5). e0251664–e0251664. 2 indexed citations
14.
Posner, Jonathan D., et al.. (2020). Excitation–Emission Matrix Spectroscopy for Analysis of Chemical Composition of Combustion Generated Particulate Matter. Environmental Science & Technology. 54(13). 8198–8209. 35 indexed citations
15.
Novosselov, Igor, et al.. (2020). A laser-microfabricated electrohydrodynamic thruster for centimeter-scale aerial robots. PLoS ONE. 15(4). e0231362–e0231362. 14 indexed citations
16.
West, Christopher P., et al.. (2020). Molecular Composition and the Optical Properties of Brown Carbon Generated by the Ethane Flame. ACS Earth and Space Chemistry. 4(7). 1090–1103. 36 indexed citations
17.
Hallar, A. Gannet, Ian B. McCubbin, J. A. Ogren, et al.. (2019). Numerical, wind-tunnel, and atmospheric evaluation of a turbulent ground-based inlet sampling system. Aerosol Science and Technology. 53(6). 712–727. 5 indexed citations
18.
Beck, Nicola K., Alexandra L. Kossik, Jiawei Zhang, et al.. (2018). Evaluation of micro-well collector for capture and analysis of aerosolized Bacillus subtilis spores. PLoS ONE. 13(5). e0197783–e0197783. 6 indexed citations
19.
Duncan, Glen E., Edmund Seto, Ally R. Avery, et al.. (2018). Usability of a Personal Air Pollution Monitor: Design-Feedback Iterative Cycle Study. JMIR mhealth and uhealth. 6(12). e12023–e12023. 10 indexed citations
20.
Novosselov, Igor, et al.. (2006). Chemical Reactor Network Application to Emissions Prediction for Industial DLE Gas Turbine. 221–235. 34 indexed citations

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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