Р. Р. Алиев

2.4k total citations · 1 hit paper
70 papers, 1.8k citations indexed

About

Р. Р. Алиев is a scholar working on Computer Networks and Communications, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Р. Р. Алиев has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 19 papers in Cellular and Molecular Neuroscience and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Р. Р. Алиев's work include Nonlinear Dynamics and Pattern Formation (22 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Neuroscience and Neural Engineering (9 papers). Р. Р. Алиев is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (22 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Neuroscience and Neural Engineering (9 papers). Р. Р. Алиев collaborates with scholars based in Russia, United States and Japan. Р. Р. Алиев's co-authors include Alexander V. Panfilov, V. I. Krinsky, Bakhtier Vasiev, V. Pérez‐Muñuzuri, V. Pérez-Villar, Konstantin Agladze, John P. Wikswo, Tomofumi Yamaguchi, Kenichi Yoshikawa and William O. Richards and has published in prestigious journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Р. Р. Алиев

67 papers receiving 1.7k citations

Hit Papers

A simple two-variable model of cardiac excitation 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Р. Р. Алиев Russia 20 593 543 349 304 277 70 1.8k
А. Н. Павлов Russia 23 410 0.7× 221 0.4× 397 1.1× 148 0.5× 174 0.6× 181 2.0k
Olga Sosnovtseva Russia 28 946 1.6× 241 0.4× 1.0k 2.9× 388 1.3× 254 0.9× 115 2.9k
Simonetta Filippi Italy 24 163 0.3× 532 1.0× 193 0.6× 133 0.4× 278 1.0× 114 1.8k
Gil Bub United Kingdom 24 287 0.5× 725 1.3× 220 0.6× 494 1.6× 181 0.7× 68 1.6k
A. M. Albano United States 24 467 0.8× 146 0.3× 1.2k 3.4× 103 0.3× 247 0.9× 58 2.6k
Remy Salomonsz United States 6 760 1.3× 876 1.6× 425 1.2× 271 0.9× 150 0.5× 7 1.6k
Fagen Xie United States 22 578 1.0× 1.1k 2.0× 492 1.4× 162 0.5× 71 0.3× 44 1.7k
William Baxter United States 4 710 1.2× 638 1.2× 379 1.1× 166 0.5× 130 0.5× 8 1.4k
Michael E. Hildebrand Canada 27 426 0.7× 107 0.2× 311 0.9× 816 2.7× 80 0.3× 47 2.2k
V. S. Zykov Germany 25 2.0k 3.3× 195 0.4× 1.2k 3.4× 227 0.7× 373 1.3× 88 2.4k

Countries citing papers authored by Р. Р. Алиев

Since Specialization
Citations

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

Fields of papers citing papers by Р. Р. Алиев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Р. Р. Алиев

This figure shows the co-authorship network connecting the top 25 collaborators of Р. Р. Алиев. A scholar is included among the top collaborators of Р. Р. Алиев 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 Р. Р. Алиев. Р. Р. Алиев is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gureviciene, Irina, et al.. (2019). Impaired hippocampal-cortical coupling but preserved local synchrony during sleep in APP/PS1 mice modeling Alzheimer’s disease. Scientific Reports. 9(1). 5380–5380. 24 indexed citations
2.
Pirttimäki, Tiina, Mikko Gynther, Р. Р. Алиев, et al.. (2019). Sleep-State Dependent Alterations in Brain Functional Connectivity under Urethane Anesthesia in a Rat Model of Early-Stage Parkinson’s Disease. eNeuro. 6(1). ENEURO.0456–18.2019. 10 indexed citations
3.
Алиев, Р. Р., et al.. (2018). Effects of fibroblast‐myocyte coupling on the sinoatrial node activity: A computational study. International Journal for Numerical Methods in Biomedical Engineering. 34(5). e2966–e2966. 6 indexed citations
4.
Алиев, Р. Р., et al.. (2017). tDCS provokes sustainable changes in EEG and reorganizes autonomic modulation of heart rate. Brain stimulation. 10(2). 484–486. 2 indexed citations
5.
Paasonen, Jaakko, Artem Shatillo, Arto Lipponen, et al.. (2016). Global Functional Connectivity Differences between Sleep-Like States in Urethane Anesthetized Rats Measured by fMRI. PLoS ONE. 11(5). e0155343–e0155343. 22 indexed citations
6.
Алиев, Р. Р., et al.. (2016). Modelling of the electric field distribution in the brain during tDCS. Russian Journal of Numerical Analysis and Mathematical Modelling. 31(5). 5 indexed citations
7.
Kitchigina, Valentina, et al.. (2013). Disturbances of septohippocampal theta oscillations in the epileptic brain: Reasons and consequences. Experimental Neurology. 247. 314–327. 37 indexed citations
8.
Алиев, Р. Р., et al.. (2013). Wavelet spectra of visual evoked potentials: Time course of delta, theta, alpha and beta bands. Neurocomputing. 121. 551–555. 8 indexed citations
9.
Shatillo, Artem, Ksenia Koroleva, Raisa Giniatullina, et al.. (2013). Cortical spreading depression induces oxidative stress in the trigeminal nociceptive system. Neuroscience. 253. 341–349. 118 indexed citations
10.
Алиев, Р. Р., et al.. (2012). Action potential propagation and phase dynamics in the sinoatrial node. Russian Journal of Numerical Analysis and Mathematical Modelling. 27(5). 3 indexed citations
11.
Алиев, Р. Р., et al.. (2005). Study of the Preautomatic Pause under Exposure to Acetylcholine in True Pacemaker Cells of Rabbit Sinus Node Using Computer Simulation. Doklady Biochemistry and Biophysics. 402(1-6). 251–253. 1 indexed citations
12.
13.
Алиев, Р. Р., et al.. (2005). Study of the Effect of Acetylcholine on Intracellular Homeostasis of True Pacemaker Cells of Rabbit Sinus Node Using Computer Simulation. Doklady Biochemistry and Biophysics. 402(1-6). 236–239. 8 indexed citations
14.
Алиев, Р. Р., et al.. (2004). Study of the Effect of Acetylcholine on Ion Currents in Single Cells of True and Latent Pacemakers of Rabbit Sinus Node using Computer Simulation. Doklady Biological Sciences. 397(1-6). 288–291. 3 indexed citations
15.
Sidorov, Veniamin Y., et al.. (2003). Spatiotemporal Dynamics of Damped Propagation in Excitable Cardiac Tissue. Physical Review Letters. 91(20). 208104–208104. 8 indexed citations
16.
Bray, Mark‐Anthony, SHIEN‐FONG LIN, Р. Р. Алиев, Bradley J. Roth, & John P. Wikswo. (2001). Experimental and Theoretical Analysis of Phase Singularity Dynamics in Cardiac Tissue. Journal of Cardiovascular Electrophysiology. 12(6). 716–722. 102 indexed citations
17.
Agladze, Konstantin, Nobuyuki Magome, Р. Р. Алиев, Tomofumi Yamaguchi, & Kenichi Yoshikawa. (1997). Finding the optimal path with the aid of chemical wave. Physica D Nonlinear Phenomena. 106(3-4). 247–254. 63 indexed citations
18.
Алиев, Р. Р. & Alexander V. Panfilov. (1995). Multiple responses at the boundaries of the vulnerable window in the Belousov-Zhabotinsky reaction. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 52(3). 2287–2293. 11 indexed citations
19.
Алиев, Р. Р., et al.. (1995). OF HARMFUL SUBSTANCES TO THE ATMOSPHERE. 1 indexed citations
20.
Алиев, Р. Р. & Bakhtier Vasiev. (1995). Phase breaks and chaos in a chain of diffusively coupled oscillators. Chaos Solitons & Fractals. 5(3-4). 439–445. 3 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.

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