Science Explorer Back to mapMap
Discussion
Researcher · Tula State Pedagogical University named after L.N. Tolstoy · Russia

N. N. Dobrovolsky

N. N. Dobrovolsky publishes mostly in General Materials Science, Industrial and Manufacturing Engineering and Mechanical Engineering, on topics such as Material Properties and Applications, Cognitive Science and Mapping and Image and Signal Denoising Methods.

ORCID 0000-0001-7844-9009 OpenAlex
World rank
#5,354,987
of 7,710,434 ranked researchers
Rank in Russia
#42,791
of 179,717
Works
16
Citations
90
Citations per work
5.6
h-index
5
i10-index 3Top 32% in General Materials Science
N. N. Dobrovolsky

What does N. N. Dobrovolsky research?

N. N. Dobrovolsky's work is mostly in Engineering (19%), Materials Science (12%), Mathematics (7%).

Everything else: 9 works · 57.2% of their workPhysical Sciences: 7 works · 42.8% of their workEngineering: 3 works · 19.0% of their workIndustrial and Manufacturing Engineering: 1 works · 7.1% of their workMechanical Engineering: 1 works · 7.1% of their workMechanics of Materials: 1 works · 4.8% of their workMaterials Science: 2 works · 11.9% of their workGeneral Materials Science: 2 works · 11.9% of their workMathematics: 1 works · 7.1% of their workNumerical Analysis: 1 works · 7.1% of their workComputer Science: 1 works · 4.8% of their workArtificial Intelligence: 1 works · 4.8% of their workTHEIR WORKN. N. Dobrovolsky16works
Physical Sciences43%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else957.2%
    1. Engineering319.0%
    2. Materials Science211.9%
    3. Mathematics17.1%
    4. Computer Science14.8%
  1. 1General Materials Science12% of their works
  2. 2Industrial and Manufacturing Engineering7% of their works
  3. 3Mechanical Engineering7% of their works
  4. 4Numerical Analysis7% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Mechanics of Materials5% of their works

Research topics

Which keywords describe N. N. Dobrovolsky's research?

The keywords of their largest research topics: Metal Nanoparticles, Carbon Fiber Reinforced Plastics, Polymer Composite Materials, Polymer Nanocomposites, Artificial Intelligence, CNC Systems, Epoxy Composites and Fuzzy Cognitive Maps.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Metal Nanoparticles72 topics
  2. Carbon Fiber Reinforced Plastics51 topic
  3. Polymer Composite Materials51 topic
  4. Polymer Nanocomposites42 topics
  5. Artificial Intelligence21 topic
  6. CNC Systems21 topic
  7. Epoxy Composites21 topic
  8. Fuzzy Cognitive Maps21 topic
  9. Geometric Modeling21 topic
  10. High-dimensional Integration21 topic
  11. Image Denoising21 topic
  12. Machine Tools21 topic
  13. Modeling21 topic
  14. Nanomaterials21 topic
  15. Nanoparticles21 topic
  16. Personalized Medicine21 topic
  17. Quasi-Monte Carlo21 topic
  18. Sparse Representations21 topic

Where does N. N. Dobrovolsky work?

N. N. Dobrovolsky's main affiliation in the publication record is Tula State Pedagogical University named after L.N. Tolstoy, Russia.

How many publications and citations does N. N. Dobrovolsky have?

OpenAlex counts 16 works and 90 citations for N. N. Dobrovolsky, an h-index of 5, ranking #5,354,987 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about N. N. Dobrovolsky. Posts are plain text and can be reported.