Countries citing papers authored by Vladimir Popov
Since
Specialization
Citations
This map shows the geographic impact of Vladimir Popov'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 Popov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Popov more than expected).
This network shows the impact of papers produced by Vladimir Popov. 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 Popov. The network helps show where Vladimir Popov may publish in the future.
Co-authorship network of co-authors of Vladimir Popov
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Popov.
A scholar is included among the top collaborators of Vladimir Popov 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 Vladimir Popov. Vladimir Popov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gorbenko, Anna & Vladimir Popov. (2017). Footstep planning for humanoid robots. Electronic scientific archive of UrFU (Ural Federal University).
4.
Gorbenko, Anna & Vladimir Popov. (2017). Anticipation in simple robot navigation and finding regularities. Electronic scientific archive of UrFU (Ural Federal University).
5.
Popov, Vladimir. (2017). Independent systems of semigroup relations and descriptions of robotic systems. Electronic scientific archive of UrFU (Ural Federal University).
Popov, Vladimir. (2012). Approximate periods of strings for absolute distances. Applied mathematical sciences. 6. 6713–6717.10 indexed citations
8.
Gorbenko, Anna, et al.. (2012). Robot Self-Awareness: Exploration of Internal States. Applied mathematical sciences. 6. 675–688.41 indexed citations
9.
Gorbenko, Anna & Vladimir Popov. (2012). On the problem of placement of visual landmarks. Applied mathematical sciences. 6. 689–696.41 indexed citations
10.
Gorbenko, Anna & Vladimir Popov. (2012). The longest common parameterized subsequence problem. Applied mathematical sciences. 6. 2851–2855.31 indexed citations
11.
Gorbenko, Anna & Vladimir Popov. (2012). Computational Experiments for the Problem of Selection of a Minimal Set of Visual Landmarks. Applied mathematical sciences. 6. 5775–5780.28 indexed citations
12.
Gorbenko, Anna & Vladimir Popov. (2012). A Real-World Experiments Setup for Investigations of the Problem of Visual Landmarks Selection for Mobile Robots. Applied mathematical sciences. 6. 4767–4771.22 indexed citations
13.
Gorbenko, Anna & Vladimir Popov. (2012). Clustering algorithm in mobile ad hoc networks. Advanced Studies in Theoretical Physics. 6. 1239–1242.16 indexed citations
14.
Gorbenko, Anna & Vladimir Popov. (2012). Robot self-awareness: usage of co-training for distance functions for sequences of images. Advanced Studies in Theoretical Physics. 6. 1243–1246.14 indexed citations
15.
Popov, Vladimir. (2012). Partially Distinguishable Guards. Electronic scientific archive of UrFU (Ural Federal University).13 indexed citations
16.
Gorbenko, Anna, et al.. (2011). Robot self-awareness: Temporal relation based data mining. Engineering letters. 19(3). 169–178.29 indexed citations
17.
Popov, Vladimir. (2009). The Approximate Period Problem.19 indexed citations
Popov, Vladimir. (2005). Computational complexity of problems related to DNA sequencing by hybridization. Doklady Mathematics. 72(1). 642–644.20 indexed citations
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.