Alexey Medvedev

1.1k total citations
23 papers, 529 citations indexed

About

Alexey Medvedev is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Alexey Medvedev has authored 23 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 17 papers in Computer Vision and Pattern Recognition and 4 papers in Building and Construction. Recurrent topics in Alexey Medvedev's work include IoT and Edge/Fog Computing (19 papers), Context-Aware Activity Recognition Systems (17 papers) and Caching and Content Delivery (7 papers). Alexey Medvedev is often cited by papers focused on IoT and Edge/Fog Computing (19 papers), Context-Aware Activity Recognition Systems (17 papers) and Caching and Content Delivery (7 papers). Alexey Medvedev collaborates with scholars based in Australia, Russia and Greece. Alexey Medvedev's co-authors include Arkady Zaslavsky, Theodoros Anagnostopoulos, Jeremy Morley, Pouria Amirian, Kostas Kolomvatsos, Prem Prakash Jayaraman, Pari Delir Haghighi, Sea Ling, Seng W. Loke and Maria Indrawan and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Waste Management & Research The Journal for a Sustainable Circular Economy.

In The Last Decade

Alexey Medvedev

22 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexey Medvedev Australia	11	281	148	131	107	101	23	529
Ousmane Diallo Senegal	9	293 1.0×	68 0.5×	73 0.6×	106 1.0×	42 0.4×	23	537
Insung Hong South Korea	9	99 0.4×	30 0.2×	62 0.5×	375 3.5×	143 1.4×	15	595
Junaid Ahmed Zubairi United States	8	117 0.4×	25 0.2×	36 0.3×	75 0.7×	56 0.6×	34	287
Chih-Ming Wu Taiwan	11	94 0.3×	63 0.4×	48 0.4×	50 0.5×	42 0.4×	23	403
Celia Garrido-Hidalgo Spain	11	149 0.5×	35 0.2×	105 0.8×	143 1.3×	12 0.1×	15	539
Pablo Pavón‐Mariño Spain	21	612 2.2×	20 0.1×	32 0.2×	969 9.1×	34 0.3×	128	1.2k
John Gialelis Greece	10	108 0.4×	28 0.2×	25 0.2×	64 0.6×	39 0.4×	66	337
Chui Yew Leong Malaysia	10	177 0.6×	145 1.0×	20 0.2×	190 1.8×	25 0.2×	14	419
Luis Roda-Sánchez Spain	10	107 0.4×	22 0.1×	102 0.8×	106 1.0×	12 0.1×	14	473

Countries citing papers authored by Alexey Medvedev

Since Specialization

Citations

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

Fields of papers citing papers by Alexey Medvedev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Medvedev

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

All Works

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20 of 20 papers shown

Zaslavsky, Arkady, et al.. (2024). Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems. 5(2). 1–32.

Zaslavsky, Arkady, et al.. (2023). Context Caching for IoT-Based Applications: Opportunities and Challenges. IEEE Internet of Things Magazine. 6(4). 96–102. 6 indexed citations

Zaslavsky, Arkady, et al.. (2023). Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach. Sensors. 23(10). 4767–4767. 10 indexed citations

Medvedev, Alexey, et al.. (2023). Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware. Sensors. 23(21). 8779–8779. 1 indexed citations

Zaslavsky, Arkady, et al.. (2023). Adaptive Context Caching for Efficient Distributed Context Management Systems. 1078–1087. 8 indexed citations

Zaslavsky, Arkady, et al.. (2022). Estimating the lifetime of transient context for adaptive caching in IoT applications. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 933–942. 7 indexed citations

Zaslavsky, Arkady, et al.. (2022). Requirements, Limitations and Recommendations for Enabling End-to-End Quality of Context-Awareness in IoT Middleware. Sensors. 22(4). 1632–1632. 9 indexed citations

Zaslavsky, Arkady, et al.. (2022). Estimating the dynamic lifetime of transient context in near real-time for cost-efficient adaptive caching. ACM SIGAPP Applied Computing Review. 22(2). 44–58. 2 indexed citations

Zaslavsky, Arkady, et al.. (2022). Context-Aware Machine Learning for Intelligent Transportation Systems: A Survey. IEEE Transactions on Intelligent Transportation Systems. 24(1). 17–36. 19 indexed citations

10.

Zaslavsky, Arkady, et al.. (2021). Towards Measurable Efficient and Effective Metrics for Quality and Cost of Context. 4(Special Issue). 4 indexed citations

11.

Zaslavsky, Arkady, et al.. (2021). Quality and Cost Aware Service Selection in IoT-Context Management Platforms. 89–98. 5 indexed citations

12.

Medvedev, Alexey, et al.. (2019). Context Definition and Query Language: Conceptual Specification, Implementation, and Evaluation. Sensors. 19(6). 1478–1478. 20 indexed citations

13.

Medvedev, Alexey, et al.. (2019). Efficient Execution of Complex Context Queries to Enable Near Real-Time Smart IoT Applications. Sensors. 19(24). 5457–5457. 12 indexed citations

14.

Medvedev, Alexey, Pari Delir Haghighi, Sea Ling, et al.. (2018). Situation Modelling, Representation, and Querying in Context-as-a-Service IoT Platform. Swinburne Research Bank (Swinburne University of Technology). 1–6. 11 indexed citations

15.

Anagnostopoulos, Theodoros, Arkady Zaslavsky, Alexey Medvedev, et al.. (2018). A stochastic multi-agent system for Internet of Things-enabled waste management in smart cities. Waste Management & Research The Journal for a Sustainable Circular Economy. 36(11). 1113–1121. 23 indexed citations

16.

Medvedev, Alexey, Pari Delir Haghighi, Sea Ling, et al.. (2018). Context-as-a-Service Platform: Exchange and Share Context in an IoT Ecosystem. Swinburne Research Bank (Swinburne University of Technology). 385–390. 33 indexed citations

17.

Anagnostopoulos, Theodoros, Arkady Zaslavsky, Kostas Kolomvatsos, et al.. (2017). Challenges and Opportunities of Waste Management in IoT-Enabled Smart Cities: A Survey. IEEE Transactions on Sustainable Computing. 2(3). 275–289. 214 indexed citations

18.

Haghighi, Pari Delir, et al.. (2016). CDQL. Swinburne Research Bank (Swinburne University of Technology). 79–88. 11 indexed citations

19.

Anagnostopoulos, Theodoros, Arkady Zaslavsky, & Alexey Medvedev. (2015). Robust waste collection exploiting cost efficiency of IoT potentiality in Smart Cities. 1–6. 50 indexed citations

20.

Anagnostopoulos, Theodoros, et al.. (2015). Top -- k Query Based Dynamic Scheduling for IoT-enabled Smart City Waste Collection. 50–55. 65 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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