Oleg Sokolsky

7.2k total citations
215 papers, 3.7k citations indexed

About

Oleg Sokolsky is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Oleg Sokolsky has authored 215 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Computational Theory and Mathematics, 77 papers in Hardware and Architecture and 62 papers in Artificial Intelligence. Recurrent topics in Oleg Sokolsky's work include Formal Methods in Verification (84 papers), Real-Time Systems Scheduling (66 papers) and Embedded Systems Design Techniques (48 papers). Oleg Sokolsky is often cited by papers focused on Formal Methods in Verification (84 papers), Real-Time Systems Scheduling (66 papers) and Embedded Systems Design Techniques (48 papers). Oleg Sokolsky collaborates with scholars based in United States, South Korea and Canada. Oleg Sokolsky's co-authors include Insup Lee, Mahesh Viswanathan, Linh Thi Xuan Phan, Miroslav Pajić, James Weimer, Moonjoo Kim, George J. Pappas, Sampath Kannan, David Arney and Nicola Bezzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of Neurophysiology.

In The Last Decade

Oleg Sokolsky

202 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oleg Sokolsky United States 33 1.2k 1.1k 1.1k 979 832 215 3.7k
Wang Yi Sweden 30 1.7k 1.5× 1.4k 1.2× 2.4k 2.1× 658 0.7× 744 0.9× 169 4.0k
Hermann Kopetz Austria 31 1.2k 1.0× 3.1k 2.7× 3.3k 3.0× 555 0.6× 321 0.4× 144 4.8k
Aloysius K. Mok United States 32 1.8k 1.6× 3.0k 2.7× 3.7k 3.3× 610 0.6× 428 0.5× 190 5.7k
John Rushby United States 27 1.0k 0.9× 748 0.7× 605 0.5× 1.1k 1.1× 767 0.9× 95 2.5k
J.-C. Laprie France 20 355 0.3× 2.8k 2.4× 1.1k 1.0× 1.2k 1.2× 1.9k 2.3× 35 5.4k
Philip Koopman United States 25 207 0.2× 856 0.8× 508 0.5× 697 0.7× 664 0.8× 132 2.8k
A. Avižienis United States 16 395 0.3× 3.1k 2.7× 1.2k 1.1× 1.3k 1.4× 1.7k 2.0× 41 5.6k
Zbigniew Kalbarczyk United States 36 88 0.1× 2.7k 2.4× 1.1k 1.0× 1.3k 1.3× 604 0.7× 218 4.7k
Ming Gu China 25 243 0.2× 647 0.6× 257 0.2× 408 0.4× 241 0.3× 192 1.9k
Samarjit Chakraborty Germany 32 960 0.8× 1.6k 1.4× 2.7k 2.4× 309 0.3× 194 0.2× 331 4.4k

Countries citing papers authored by Oleg Sokolsky

Since Specialization
Citations

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

Fields of papers citing papers by Oleg Sokolsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oleg Sokolsky

This figure shows the co-authorship network connecting the top 25 collaborators of Oleg Sokolsky. A scholar is included among the top collaborators of Oleg Sokolsky 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 Oleg Sokolsky. Oleg Sokolsky 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.
Ong, Joshua, Vivian Lin, Jin Hyun Kim, et al.. (2024). Development of oculomics artificial intelligence for cardiovascular risk factors: A case study in fundus oculomics for HbA1c assessment and clinically relevant considerations for clinicians. Asia-Pacific Journal of Ophthalmology. 13(4). 100095–100095. 3 indexed citations
2.
Sokolsky, Oleg, et al.. (2024). Repairing Learning-Enabled Controllers While Preserving What Works. 1–11. 1 indexed citations
3.
Park, Jean, et al.. (2022). Medical Cyber-Physical Systems: IoMT Applications and Challenges. 998–1004. 3 indexed citations
4.
Ruchkin, Ivan, Christopher P. Bonafide, Sara B. DeMauro, et al.. (2022). Evaluating Alarm Classifiers with High-confidence Data Programming. 3(4). 1–24. 1 indexed citations
5.
Ruchkin, Ivan, Christopher P. Bonafide, Sara B. DeMauro, et al.. (2021). High-Confidence Data Programming for Evaluating Suppression of Physiological Alarms. 70–81. 1 indexed citations
6.
Ruchkin, Ivan, et al.. (2020). Compositional Probabilistic Analysis of Temporal Properties Over Stochastic Detectors. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 3288–3299.
7.
Park, Junkil, et al.. (2017). Process Algebraic Approach to the Schedulability Analysis and Workload Abstraction of Hierarchical Real-Time Systems. ScholarlyCommons (University of Pennsylvania).
8.
Kim, BaekGyu, Lu Feng, Linh Thi Xuan Phan, Oleg Sokolsky, & Insup Lee. (2015). Platform-specific timing verification framework in model-based implementation. Design, Automation, and Test in Europe. 235–240. 3 indexed citations
9.
King, Andrew, Lu Feng, Oleg Sokolsky, & Insup Lee. (2013). Assuring the safety of on-demand medical cyber-physical systems. 1–6. 16 indexed citations
10.
Kim, BaekGyu, Linh Thi Xuan Phan, Oleg Sokolsky, & Insup Lee. (2013). Platform-dependent code generation for embedded real-time software. 1–10. 10 indexed citations
11.
Loo, Boon Thau, et al.. (2009). A Theorem Proving Approach Towards Declarative Networking. Journal of Neurophysiology. 96(1). 492–504. 3 indexed citations
12.
Arney, David, Raoul Jetley, Paul Jones, et al.. (2009). Generic Infusion Pump Hazard Analysis and Safety Requirements Version 1.0. Scholarly Commons (University of Pennsylvania). 21(3). 177–85. 15 indexed citations
13.
Lee, Insup, Anna Philippou, & Oleg Sokolsky. (2007). Resources in process algebra. The Journal of Logic and Algebraic Programming. 72(1). 98–122. 18 indexed citations
14.
Sokolsky, Oleg, et al.. (2006). R-Charon, a Modeling Language for Reconfigurable Hybrid Systems. ScholarlyCommons (University of Pennsylvania). 1 indexed citations
15.
Sokolsky, Oleg, et al.. (2006). Modeling, Analysis, Simulation, and Synthesis of Biomolecular Networks. Defense Technical Information Center (DTIC). 1 indexed citations
16.
Hong, Hyoung Seok, Sung Deok, Insup Lee, Oleg Sokolsky, & Hasan Ural. (2003). Data flow testing as model checking. International Conference on Software Engineering. 232–242. 64 indexed citations
17.
Sokolsky, Oleg, et al.. (2003). Regular Expressions for Run-Time Verification. ScholarlyCommons (University of Pennsylvania). 2 indexed citations
18.
Hong, Hyoung Seok, Insup Lee, & Oleg Sokolsky. (2001). Automatic Test Generation From Statecharts Using Model Checking. ScholarlyCommons (University of Pennsylvania). 37 indexed citations
19.
Lee, Insup, Sampath Kannan, Moonjoo Kim, Oleg Sokolsky, & Mahesh Viswanathan. (1999). Runtime Assurance Based On Formal Specifications. ScholarlyCommons (University of Pennsylvania). 279–287. 108 indexed citations
20.
Gordon, Diana F., William Spears, Insup Lee, & Oleg Sokolsky. (1999). Distributed Spatial Control and Global Monitoring of Mobile Agents. ScholarlyCommons (University of Pennsylvania). 2 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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