I. I. Soloviev

2.0k total citations
116 papers, 1.4k citations indexed

About

I. I. Soloviev is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electrical and Electronic Engineering. According to data from OpenAlex, I. I. Soloviev has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Atomic and Molecular Physics, and Optics, 60 papers in Condensed Matter Physics and 47 papers in Electrical and Electronic Engineering. Recurrent topics in I. I. Soloviev's work include Physics of Superconductivity and Magnetism (60 papers), Quantum and electron transport phenomena (49 papers) and Advanced Electrical Measurement Techniques (14 papers). I. I. Soloviev is often cited by papers focused on Physics of Superconductivity and Magnetism (60 papers), Quantum and electron transport phenomena (49 papers) and Advanced Electrical Measurement Techniques (14 papers). I. I. Soloviev collaborates with scholars based in Russia, United States and Netherlands. I. I. Soloviev's co-authors include N. V. Klenov, S. V. Bakurskiy, V. K. Kornev, M. Yu. Kupriyanov, Oleg A. Mukhanov, A. A. Golubov, Anatolie Sidorenko, М. В. Терешонок, V. S. Stolyarov and A. L. Pankratov and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

I. I. Soloviev

112 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. I. Soloviev Russia 22 921 842 499 376 198 116 1.4k
Sergey K. Tolpygo United States 21 1.5k 1.6× 1.1k 1.3× 647 1.3× 693 1.8× 243 1.2× 67 2.1k
A. B. Zorin Germany 23 1.9k 2.1× 1.0k 1.2× 653 1.3× 547 1.5× 184 0.9× 111 2.2k
V. S. Shumeĭko Sweden 30 2.4k 2.6× 1.2k 1.5× 363 0.7× 982 2.6× 224 1.1× 86 2.7k
Vijay Patel United States 11 1.1k 1.2× 462 0.5× 279 0.6× 651 1.7× 55 0.3× 17 1.3k
Jürgen Lisenfeld Germany 21 1.8k 1.9× 598 0.7× 260 0.5× 1.1k 2.9× 142 0.7× 33 2.0k
A. Lukashenko Germany 17 813 0.9× 431 0.5× 121 0.2× 351 0.9× 93 0.5× 39 961
Cihan Kurter United States 13 684 0.7× 612 0.7× 601 1.2× 75 0.2× 451 2.3× 22 1.3k
M. Grajcar Slovakia 27 1.8k 1.9× 761 0.9× 228 0.5× 1.2k 3.1× 299 1.5× 101 2.2k
D. Estève France 16 1.9k 2.1× 616 0.7× 527 1.1× 601 1.6× 87 0.4× 29 2.1k
M. Cirillo Italy 19 921 1.0× 676 0.8× 310 0.6× 189 0.5× 102 0.5× 122 1.5k

Countries citing papers authored by I. I. Soloviev

Since Specialization
Citations

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

Fields of papers citing papers by I. I. Soloviev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. I. Soloviev

This figure shows the co-authorship network connecting the top 25 collaborators of I. I. Soloviev. A scholar is included among the top collaborators of I. I. Soloviev 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 I. I. Soloviev. I. I. Soloviev 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.
Klenov, N. V., et al.. (2025). All-Josephson junction logic cells and bio-inspired neuron based on 0−0−π junction inductorless blocks. Chaos Solitons & Fractals. 193. 116074–116074. 1 indexed citations
2.
Soloviev, I. I., et al.. (2025). Josephson “flying qubit” revival: Flux-based control optimization. Chaos Solitons & Fractals. 196. 116353–116353. 2 indexed citations
3.
Klenov, N. V., et al.. (2024). Neural network search for optimal pulse trains for qubit dynamics control. T-Comm. 18(7). 56–63.
4.
Skryabina, Olga V., S. V. Bakurskiy, N. V. Klenov, et al.. (2024). Anomalous influence of electrode width on the critical current of Nb/Au Josephson junctions. Superconductor Science and Technology. 37(12). 125018–125018. 1 indexed citations
5.
Тихонова, О. В., et al.. (2024). Solid‐State Qubit as an On‐Chip Controller for Non‐Classical Field States. Advanced Quantum Technologies. 7(10). 2 indexed citations
6.
Klenov, N. V., et al.. (2024). Contemporary implementations of spiking bio-inspired neural networks. 1(1). 1 indexed citations
7.
Golovchanskiy, I. A., et al.. (2024). Demonstration of a Josephson vortex-based memory cell with microwave energy-efficient readout. Communications Physics. 7(1). 5 indexed citations
8.
Bakurskiy, S. V., et al.. (2024). Spin-Valve-Controlled Triggering of Superconductivity. Nanomaterials. 14(3). 245–245. 2 indexed citations
9.
Soloviev, I. I., et al.. (2024). Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions. Nanomaterials. 14(10). 854–854. 4 indexed citations
10.
Soloviev, I. I. & Vladimir Klinshov. (2024). Complex landscape of the cost function in a simple machine learning regression task. The European Physical Journal Special Topics. 234(15). 3597–3604.
11.
Soloviev, I. I., et al.. (2024). Dynamic convolution for image matching. The European Physical Journal Special Topics. 1 indexed citations
12.
Klenov, N. V., et al.. (2023). Speeding up qubit control with bipolar single-flux-quantum pulse sequences. Quantum Science and Technology. 8(3). 35024–35024. 5 indexed citations
13.
Sidorenko, Anatolie, N. V. Klenov, I. I. Soloviev, et al.. (2023). Base Elements for Artificial Neural Network: Structure Modeling, Production, Properties. International Journal of Circuits Systems and Signal Processing. 17. 177–183. 3 indexed citations
14.
Klenov, N. V., et al.. (2023). A bifunctional superconducting cell as flux qubit and neuron. Beilstein Journal of Nanotechnology. 14. 1116–1126. 6 indexed citations
15.
Stolyarov, V. S., V. A. Oboznov, S. V. Bakurskiy, et al.. (2022). Effective Exchange Energy in a Thin, Spatially Inhomogeneous CuNi Layer Proximized by Nb. The Journal of Physical Chemistry Letters. 13(28). 6400–6406. 4 indexed citations
16.
Bakurskiy, S. V., et al.. (2021). Density of states and current–voltage characteristics in SIsFS junctions. Superconductor Science and Technology. 34(8). 85007–85007. 3 indexed citations
17.
Klenov, N. V., et al.. (2021). Dynamic Processes in a Superconducting Adiabatic Neuron with Non-Shunted Josephson Contacts. Symmetry. 13(9). 1735–1735. 7 indexed citations
18.
Klenov, N. V., et al.. (2020). Learning cell for superconducting neural networks. Superconductor Science and Technology. 34(1). 15006–15006. 21 indexed citations
19.
Skryabina, Olga V., С. Н. Козлов, С. В. Егоров, et al.. (2019). Anomalous magneto-resistance of Ni-nanowire/Nb hybrid system. Scientific Reports. 9(1). 14470–14470. 13 indexed citations
20.
Soloviev, I. I., N. V. Klenov, S. V. Bakurskiy, et al.. (2018). Adiabatic superconducting artificial neural network: Basic cells. Journal of Applied Physics. 124(15). 53 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sergey K. Tolpygo Breakdown of academic impact, for papers by A. B. Zorin Breakdown of academic impact, for papers by V. S. Shumeĭko Breakdown of academic impact, for papers by Vijay Patel Breakdown of academic impact, for papers by Jürgen Lisenfeld Breakdown of academic impact, for papers by A. Lukashenko Breakdown of academic impact, for papers by Cihan Kurter Breakdown of academic impact, for papers by M. Grajcar Breakdown of academic impact, for papers by D. Estève Breakdown of academic impact, for papers by M. Cirillo
Rankless by CCL
2026