Stanislav S. Borysov

717 citations
26 papers · 509 · h-index 13

Impact in

    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis
    • Urban Transport and Accessibility
    • Traffic Prediction and Management Techniques

Papers in

Stanislav S. Borysov

24 papers receiving 496 citations

Peers

Stanislav S. Borysov
Comparison fields: 5 of 98
  • Transportation 93
  • Building and Construction 52
  • Automotive Engineering 46
  • Materials Chemistry 173
  • Management Science and Operations Research 39
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Citations per year

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-authors

The 17 scholars most cited alongside Stanislav S. Borysov, 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 Stanislav S. Borysov Line = papers co-authored together Stanislav S. Borysov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201792
2 201969
3
Band gap prediction for large organic crystal structures with machine learning
201962
4 201643
5 201542
6 201727
7 202325
8 201820
9 201519
10 201816
11 201315
12 202115
13 201714
14 201413
15 201011
16
Online search tool for graphical patterns in electronic band structures
20186
17 20235
18 20144
19 20163
20 20203

About Stanislav S. Borysov

Stanislav S. Borysov is a scholar working on Transportation, Materials Chemistry, Economics and Econometrics, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 26 papers that have together received 509 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Complex Systems and Time Series Analysis (4 papers), Traffic Prediction and Management Techniques (3 papers), Human Mobility and Location-Based Analysis (3 papers), demographic modeling and climate adaptation (3 papers), Surface Chemistry and Catalysis (3 papers), Topological Materials and Phenomena (2 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Transportation (93 citations), Building and Construction (52 citations), Automotive Engineering (46 citations), Materials Chemistry (173 citations) and Management Science and Operations Research (39 citations). Stanislav S. Borysov has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Alexander Balatsky, R. Matthias Geilhufe, Francisco C. Pereira, Filipe Rodrigues, Bernardete Ribeiro, Adrien Bouhon, Yasser Roudi, A. I. Olemskoĭ, Mette Møller and Kira Hyldekær Janstrup. Their work appears in journals such as Transportation Research Part C Emerging Technologies, The European Physical Journal B, PLoS ONE, Physical Review Materials and Journal of Causal Inference.

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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