Konstantin B. Blyuss

2.0k citations
66 papers · 1.4k indexed · h-index 22

Konstantin B. Blyuss

64 papers receiving 1.4k citations

Peers

Konstantin B. Blyuss
Comparison fields: 5 of 122
  • Modeling and Simulation 528
  • Statistical and Nonlinear Physics 284
  • Public Health, Environmental and Occupational Health 639
  • Computer Networks and Communications 261
  • Genetics 289
Replace Patrick De Leenheer with:
Patrick De Leenheer United States
Lin Hu China
Zhisheng Shuai Canada
Lora Billings United States
Long Zhang China
Yuliya N. Kyrychko United Kingdom
Shujing Gao China
Wenzhang Huang United States
Mostafa Rachik Morocco
Gennady Bocharov Russia
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Citations per field
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Citations per year

Countries citing papers authored by Konstantin B. Blyuss

Since Specialization
Citations

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

Fields of papers citing papers by Konstantin B. Blyuss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Konstantin B. Blyuss. 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 Konstantin B. Blyuss. The network helps show where Konstantin B. Blyuss may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Konstantin B. Blyuss, 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 Konstantin B. Blyuss Line = papers co-authored together Konstantin B. Blyuss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20231
4 20238
5 20232
6 20206
7 20202
8 202055
9 20204
10
Modelling the effects of awareness-based interventions to control the mosaic disease of Jatropha curcas
201837
11 201843
12
Time-delayed SIS epidemic model with population awareness
201721
13 201768
14 201738
15 201735
16 20165
17 201615
18
Dynamics of multi-stage infections on networks
201511
19 201411
20 20134

About Konstantin B. Blyuss

Konstantin B. Blyuss is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), Evolution and Genetic Dynamics (20 papers), COVID-19 epidemiological studies (18 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Gene Regulatory Network Analysis (6 papers), T-cell and B-cell Immunology (6 papers), Plant Virus Research Studies (5 papers) and Mathematical Biology Tumor Growth (5 papers). The work is most often cited by research in Modeling and Simulation (528 citations), Statistical and Nonlinear Physics (284 citations) and Public Health, Environmental and Occupational Health (639 citations). Konstantin B. Blyuss has collaborated with scholars based in United Kingdom, Ukraine and India. Frequent co-authors include Yuliya N. Kyrychko, Eckehard Schöll, S. J. Hogan, Alicia Gonzalez-Buelga, David Wagg, Igor Brovchenko, Fahad Al Basir, Mario Recker, Sunetra Gupta and Jeremy Farrar. Their work appears in journals such as Applied Physics Letters, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

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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