D.A. Molodtsov

4.9k citations
15 papers · 3.3k · 1 hit paper · h-index 6

Impact in

Papers in

D.A. Molodtsov

13 papers receiving 2.9k citations

D.A. Molodtsov's Hit Papers

Soft set theory—First results 1999 · 3.1k citations
3.1k0+9+18Years since publication10002.0k3.0k

Peers

D.A. Molodtsov
Comparison fields: 5 of 93
  • Management Science and Operations Research 3.0k
  • Computational Theory and Mathematics 2.1k
  • Algebra and Number Theory 102
  • Geometry and Topology 168
  • Statistics and Probability 114
Replace Pabitra Kumar Maji with:
Pabitra Kumar Maji India
Tareq M. Al-shami Yemen
Muhammad İrfan Ali Pakistan
Muhammad Shabir Pakistan
Naim Çağman Türkiye
Wiesław A. Dudek Poland
R. A. Borzooei Iran
Young Bae Jun South Korea
G. Muhiuddin Saudi Arabia
R. Löwen Belgium
D.A. Molodtsov relative to Pabitra Kumar Maji India Pabitra Kumar Maji's profile →
Citations per field
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Pabitra Kumar Maji · 1×
Citations per year

Countries citing papers authored by D.A. Molodtsov

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Molodtsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.A. Molodtsov. 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 D.A. Molodtsov. The network helps show where D.A. Molodtsov may publish in the future.

Co-authors

The 2 scholars most cited alongside D.A. Molodtsov, 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 D.A. Molodtsov Line = papers co-authored together D.A. Molodtsov links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Soft set theory—First results
Hit paper breakdown →
19993056
2
SOFT SETS TECHNIQUE AND ITS APPLICATION
200694
3 200784
4 197320
5 19767
6 20115
7 20145
8 19805
9 20194
10 20214
11 19783
12 20192
13 20191
14 20141
15 19780

About D.A. Molodtsov

D.A. Molodtsov is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Economics and Econometrics, having authored 15 papers that have together received 3.3k indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (4 papers), Advanced Research in Systems and Signal Processing (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Optimization and Variational Analysis (2 papers), Opinion Dynamics and Social Influence (2 papers), Complex Systems and Time Series Analysis (1 paper), Artificial Intelligence in Games (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Management Science and Operations Research (3.0k citations), Computational Theory and Mathematics (2.1k citations), Algebra and Number Theory (102 citations), Geometry and Topology (168 citations) and Statistics and Probability (114 citations). D.A. Molodtsov has collaborated with scholars based in Russia and India. Frequent co-authors include V. V. Fedorov and I. M. Aleshin. Their work appears in journals such as Computers & Mathematics with Applications, Automation and Remote Control, Journal of Computer and Systems Sciences International, Vestnik Udmurtskogo Universiteta Matematika Mekhanika Komp yuternye Nauki and Geomagnetism and Aeronomy.

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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