Vladimir Nikiforov

6.2k citations
171 papers · 4.1k · h-index 33

Impact in

Papers in

Vladimir Nikiforov

157 papers receiving 3.9k citations

Peers

Vladimir Nikiforov
Comparison fields: 5 of 98
  • Discrete Mathematics and Combinatorics 1.2k
  • Geometry and Topology 2.1k
  • Computational Mathematics 108
  • Computational Theory and Mathematics 1.8k
  • Control and Systems Engineering 1.3k
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Peter McMullen United Kingdom
Edwin van Dam Netherlands
Joel Friedman United States
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Nair Maria Maia de Abreu Brazil
Joachim Rosenthal United States
Carsten Thomassen Denmark
Jack E. Graver United States
C. St. J. A. Nash‐Williams United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Vladimir Nikiforov

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Nikiforov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999389
2 1998355
3 2006228
4 2017175
5 2002150
6 2007127
7 2009108
8 2011104
9 202099
10 200995
11 200178
12 200676
13 200475
14 201765
15 200661
16 200757
17 200753
18 200952
19 201150
20 201050

About Vladimir Nikiforov

Vladimir Nikiforov is a scholar working on Geometry and Topology, Control and Systems Engineering, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Electrical and Electronic Engineering, having authored 171 papers that have together received 4.1k indexed citations. Recurring topics across this work include Graph theory and applications (68 papers), Adaptive Control of Nonlinear Systems (55 papers), Limits and Structures in Graph Theory (49 papers), Advanced Graph Theory Research (46 papers), Finite Group Theory Research (26 papers), Matrix Theory and Algorithms (23 papers), Control Systems and Identification (22 papers) and Advanced Control Systems Optimization (22 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (1.2k citations), Geometry and Topology (2.1k citations), Computational Mathematics (108 citations), Computational Theory and Mathematics (1.8k citations) and Control and Systems Engineering (1.3k citations). Vladimir Nikiforov has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Iliya V. Miroshnik, Аlexander L. Fradkov, Dmitry N. Gerasimov, Béla Bollobás, Roméo Ortega, Óscar Rojo, Miroslav Fiedler, Cecil Rousseau, Xiying Yuan and R. H. Schelp. Their work appears in journals such as Linear Algebra and its Applications, Discrete Mathematics, Combinatorics Probability Computing, The Electronic Journal of Combinatorics and Journal of Combinatorial Theory Series B.

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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