Stanislav S. Borysov

571 total citations
23 papers, 353 citations indexed

About

Stanislav S. Borysov is a scholar working on Materials Chemistry, Economics and Econometrics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Stanislav S. Borysov has authored 23 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Economics and Econometrics and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Stanislav S. Borysov's work include Machine Learning in Materials Science (6 papers), Complex Systems and Time Series Analysis (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Stanislav S. Borysov is often cited by papers focused on Machine Learning in Materials Science (6 papers), Complex Systems and Time Series Analysis (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Stanislav S. Borysov collaborates with scholars based in Sweden, Denmark and United States. Stanislav S. Borysov's co-authors include Alexander V. Balatsky, R. Matthias Geilhufe, Francisco C. Pereira, Jeppe Rich, Filipe Rodrigues, Adrien Bouhon, Bernardete Ribeiro, Yasser Roudi, A. I. Olemskoĭ and Daniel Forchheimer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Stanislav S. Borysov

21 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanislav S. Borysov Sweden 12 99 81 45 45 42 23 353
M. Frick Switzerland 10 50 0.5× 77 1.0× 84 1.9× 11 0.2× 70 1.7× 20 398
Luisa Scaccia Italy 11 42 0.4× 77 1.0× 36 0.8× 112 2.5× 39 0.9× 42 458
Bruno C. da Silva Brazil 10 23 0.2× 88 1.1× 93 2.1× 67 1.5× 36 0.9× 20 302
Malte Schröder Germany 12 43 0.4× 99 1.2× 203 4.5× 24 0.5× 158 3.8× 37 635
Antonio Lara Spain 10 12 0.1× 89 1.1× 111 2.5× 32 0.7× 12 0.3× 39 408
Daehyun You United States 11 55 0.6× 237 2.9× 22 0.5× 54 1.2× 178 4.2× 30 468
Salvatore Amoroso United Kingdom 18 85 0.9× 95 1.2× 56 1.2× 65 1.4× 38 0.9× 107 946
Yiliang Zhao United States 17 137 1.4× 67 0.8× 95 2.1× 22 0.5× 17 0.4× 32 880
F. E. Maranzana Netherlands 7 40 0.4× 57 0.7× 118 2.6× 119 2.6× 21 0.5× 9 559
Heungju Ahn South Korea 10 22 0.2× 15 0.2× 16 0.4× 14 0.3× 14 0.3× 30 330

Countries citing papers authored by Stanislav S. Borysov

Since Specialization
Citations

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

Fields of papers citing papers by Stanislav S. Borysov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanislav S. Borysov. 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 Stanislav S. Borysov. The network helps show where Stanislav S. Borysov may publish in the future.

Co-authorship network of co-authors of Stanislav S. Borysov

This figure shows the co-authorship network connecting the top 25 collaborators of Stanislav S. Borysov. A scholar is included among the top collaborators of Stanislav S. Borysov 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 Stanislav S. Borysov. Stanislav S. Borysov 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.
Janstrup, Kira Hyldekær, et al.. (2023). Predicting injury-severity for cyclist crashes using natural language processing and neural network modelling. Safety Science. 164. 106153–106153. 17 indexed citations
2.
Borysov, Stanislav S., et al.. (2023). Operational Design Domain Qualification Framework for Remotely Driven Vehicles in Urban Environment. TUbilio (Technical University of Darmstadt). 1–6. 4 indexed citations
3.
Janstrup, Kira Hyldekær, et al.. (2022). Predicting Injury-Severity for Cyclist Crashes Using Natural Language Processing and Neural Network Modelling. SSRN Electronic Journal. 1 indexed citations
4.
Borysov, Stanislav S. & Jeppe Rich. (2021). Introducing synthetic pseudo panels: application to transport behaviour dynamics. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
5.
Garrido, Sergio, Stanislav S. Borysov, Jeppe Rich, & Francisco C. Pereira. (2021). Estimating causal effects with the neural autoregressive density estimator. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Rodrigues, Filipe, et al.. (2021). Deep survival modelling for shared mobility. Transportation Research Part C Emerging Technologies. 128. 103213–103213. 12 indexed citations
7.
Rodrigues, Filipe, et al.. (2020). Deep Survival Modelling for Shared Mobility. Aalborg University Library. 27(1).
8.
Borysov, Stanislav S., et al.. (2019). OMDB-GAP1: A new dataset for band gap predictions for large organic crystal structures. Bulletin of the American Physical Society. 2019.
9.
Borysov, Stanislav S., Jeppe Rich, & Francisco C. Pereira. (2019). How to generate micro-agents? A deep generative modeling approach to population synthesis. Transportation Research Part C Emerging Technologies. 106. 73–97. 59 indexed citations
10.
Borysov, Stanislav S., Jeppe Rich, & Francisco C. Pereira. (2018). Scalable Population Synthesis with Deep Generative Modeling. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
11.
Geilhufe, R. Matthias, et al.. (2018). Towards novel organic high-Tc superconductors: Data mining using density of states similarity search. Physical Review Materials. 2(2). 13 indexed citations
12.
Geilhufe, R. Matthias, Adrien Bouhon, Stanislav S. Borysov, & Alexander V. Balatsky. (2017). Three-dimensional organic Dirac-line materials due to nonsymmorphic symmetry: A data mining approach. Physical review. B.. 95(4). 25 indexed citations
13.
Borysov, Stanislav S., R. Matthias Geilhufe, & Alexander V. Balatsky. (2017). Organic materials database: An open-access online database for data mining. PLoS ONE. 12(2). e0171501–e0171501. 79 indexed citations
14.
Geilhufe, R. Matthias, Stanislav S. Borysov, Adrien Bouhon, & Alexander V. Balatsky. (2017). Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19. Repository for Publications and Research Data (ETH Zurich). 12 indexed citations
15.
Borysov, Stanislav S., et al.. (2016). Using internet search queries to predict human mobility in social events. 9. 1342–1347. 3 indexed citations
16.
Geilhufe, R. Matthias, Stanislav S. Borysov, Adrien Bouhon, & Alexander V. Balatsky. (2016). Data Mining for 3D Organic Dirac Materials: Focus on Space Group \#19. 1 indexed citations
17.
Balatsky, Alexander V., et al.. (2015). Resource Demand Growth and Sustainability Due to Increased World Consumption. Sustainability. 7(3). 3430–3440. 33 indexed citations
18.
Borysov, Stanislav S., Daniel Forchheimer, & David B. Haviland. (2014). Dynamic calibration of higher eigenmode parameters of a cantilever in atomic force microscopy by using tip–surface interactions. Beilstein Journal of Nanotechnology. 5. 1899–1904. 3 indexed citations
19.
Borysov, Stanislav S. & Alexander V. Balatsky. (2014). Cross-Correlation Asymmetries and Causal Relationships between Stock and Market Risk. PLoS ONE. 9(8). e105874–e105874. 12 indexed citations
20.
Olemskoĭ, A. I., et al.. (2010). Statistical field theories deformed within different calculi. The European Physical Journal B. 77(2). 219–231. 11 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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