M.M. Sokolov

929 citations
3 papers · 749 indexed · 1 hit paper · h-index 2
Topics
Neutrino Physics Research (1 paper)Fluid Dynamics and Turbulent Flows (1 paper)Atomic and Subatomic Physics Research (1 paper)
Journals
Journal of Physical and Chemical Reference DataDefense Technical Information Center (DTIC)
Partner nations
United States

In The Last Decade

M.M. Sokolov

2 papers receiving 728 citations

Hit Papers

Viscosity of liquid water in the range −8 °C to 150 °C19782026199420101978200400600

Peers

M.M. Sokolov
Comparison fields: 5 of 124
  • Biomedical Engineering 248
  • Mechanical Engineering 107
  • Materials Chemistry 103
  • Fluid Flow and Transfer Processes 94
  • Electrical and Electronic Engineering 88
Replace Robert J. Correia with:
Robert J. Correia United States
M. L. V. Ramires Portugal
Kurt H. Stern United States
Radim Mareš Czechia
Tomlinson Fort United States
Farshad Varaminian Iran
Volker Weiß Germany
P. Kalaichelvi India
Mark J. McCready United States
Tamás Kristóf Hungary
M.M. Sokolov relative to Robert J. Correia United States Robert J. Correia's profile →
Citations per field
00.5×1.7×
Robert J. Correia · 1×
Citations per year

Countries citing papers authored by M.M. Sokolov

Since Specialization
Citations

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

Fields of papers citing papers by M.M. Sokolov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.M. Sokolov

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Measuring γ-quantum energy along the electron-positron shower track lengths in a xenon bubble chamber
0
2
Viscosity of liquid water in the range −8 °C to 150 °Cbreakdown →
746
3
On The Turbulent 'Spot' in a Boundary Layer Undergoing Transition.
3

About M.M. Sokolov

M.M. Sokolov is a scholar working on Nuclear and High Energy Physics, Environmental Engineering and Computational Mechanics, having authored 3 papers that have together received 749 indexed citations. Recurring topics across this work include Neutrino Physics Research (1 paper), Fluid Dynamics and Turbulent Flows (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Filtration and Separation (49 citations), Fluid Flow and Transfer Processes (94 citations) and Biomedical Engineering (248 citations). M.M. Sokolov has collaborated with scholars based in United States. Frequent co-authors include W. A. Wakeham, J. Kestin, David S. Friedman and I. Wygnanski. Their work appears in journals such as Journal of Physical and Chemical Reference Data and Defense Technical Information Center (DTIC).

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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