Pavel Polyakov

17 papers receiving 513 citations

Peers

Pavel Polyakov
Comparison fields: 5 of 91
  • Physical and Theoretical Chemistry 118
  • Computational Mechanics 201
  • Statistical and Nonlinear Physics 54
  • Endocrinology 21
  • Surfaces, Coatings and Films 27
Replace Sepideh Khodaparast with:
Sepideh Khodaparast United Kingdom
Lorenz J. Steinbock United Kingdom
Domenico Truzzolillo France
Stefano Buzzaccaro Italy
Moti Lal India
K. Dworecki Poland
A. Knaebel France
Thomas Gibaud France
Cláudio Gabriel Rodrigues Brazil
Richard M. Jendrejack United States
Pavel Polyakov relative to Sepideh Khodaparast United Kingdom Sepideh Khodaparast's profile →
Citations per field
00.5×6.8×
Sepideh Khodaparast · 1×
Citations per year

Countries citing papers authored by Pavel Polyakov

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Polyakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Pavel Polyakov, 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 Pavel Polyakov Line = papers co-authored together Pavel Polyakov links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201192
2 201174
3 200841
4 201141
5 200637
6 200732
7 200831
8 201227
9 200726
10 202021
11 200820
12 200918
13 200817
14 201117
15 201310
16 200510
17 20201

About Pavel Polyakov

Pavel Polyakov is a scholar working on Computational Mechanics, Organic Chemistry, Physical and Theoretical Chemistry, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 515 indexed citations. Recurring topics across this work include Field-Flow Fractionation Techniques (9 papers), Chemical Thermodynamics and Molecular Structure (8 papers), Force Microscopy Techniques and Applications (3 papers), thermodynamics and calorimetric analyses (3 papers), Electrostatics and Colloid Interactions (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Phase Equilibria and Thermodynamics (2 papers) and Iron and Steelmaking Processes (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (118 citations), Computational Mechanics (201 citations), Statistical and Nonlinear Physics (54 citations), Endocrinology (21 citations) and Surfaces, Coatings and Films (27 citations). Pavel Polyakov has collaborated with scholars based in Germany, France and Japan. Frequent co-authors include Simone Wiegand, Grégory Francius, Jérôme F. L. Duval, Yumiko Abe, Charles Soussen, David Brie, Junbo Duan, Jutta Luettmer-Strathmann, Florian Müller‐Plathe and Christophe Beloin. Their work appears in journals such as The Journal of Physical Chemistry B, PLoS ONE, The Journal of Chemical Physics, Physical Chemistry Chemical Physics and Biomacromolecules.

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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