Sasu Tarkoma

10.8k total citations · 3 hit papers
333 papers, 6.0k citations indexed

About

Sasu Tarkoma is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Sasu Tarkoma has authored 333 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Computer Networks and Communications, 79 papers in Electrical and Electronic Engineering and 53 papers in Information Systems. Recurrent topics in Sasu Tarkoma's work include Caching and Content Delivery (68 papers), IoT and Edge/Fog Computing (57 papers) and Peer-to-Peer Network Technologies (41 papers). Sasu Tarkoma is often cited by papers focused on Caching and Content Delivery (68 papers), IoT and Edge/Fog Computing (57 papers) and Peer-to-Peer Network Technologies (41 papers). Sasu Tarkoma collaborates with scholars based in Finland, China and Hong Kong. Sasu Tarkoma's co-authors include Eemil Lagerspetz, Petteri Nurmi, Pan Hui, Yong Li, Aaron Yi Ding, Christian Esteve Rothenberg, Samuli Hemminki, Julien Mineraud, Xiang Su and Tong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of Power Sources.

In The Last Decade

Sasu Tarkoma

307 papers receiving 5.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Theory and Practice of Bloom Filters for Distributed Systems

2011 343 citations Sasu Tarkoma, Eemil Lagerspetz et al. IEEE Communications Surveys & Tutorials profile →
A gap analysis of Internet-of-Things platforms

2016 285 citations Xiang Su, Sasu Tarkoma et al. profile →
Future of software development with generative AI

2024 35 citations J. Sauvola, Sasu Tarkoma et al. Automated Software Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sasu Tarkoma Finland	37	3.0k	1.5k	1.0k	994	721	333	6.0k
Qin Lv United States	36	1.5k 0.5×	1.2k 0.8×	936 0.9×	1.2k 1.2×	1.0k 1.4×	144	5.3k
Carlos T. Calafate Spain	43	3.3k 1.1×	3.3k 2.2×	544 0.5×	678 0.7×	738 1.0×	392	6.7k
Michael Beigl Germany	30	1.3k 0.4×	1.1k 0.7×	455 0.4×	509 0.5×	1.8k 2.6×	293	4.2k
Carsten Maple United Kingdom	37	2.0k 0.7×	1.3k 0.9×	1.6k 1.5×	1.2k 1.2×	382 0.5×	366	5.3k
Anand Paul South Korea	36	1.8k 0.6×	966 0.6×	887 0.9×	973 1.0×	941 1.3×	168	4.8k
Raja Jurdak Australia	33	3.5k 1.2×	1.7k 1.1×	2.9k 2.8×	1.1k 1.1×	480 0.7×	207	7.0k
Seungmin Rho South Korea	44	1.9k 0.6×	2.1k 1.4×	1.0k 1.0×	1.8k 1.8×	2.1k 2.9×	329	7.6k
Juan‐Carlos Cano Spain	42	3.6k 1.2×	3.1k 2.0×	548 0.5×	556 0.6×	713 1.0×	344	6.6k
Nicola Bui Italy	17	3.0k 1.0×	2.3k 1.5×	779 0.8×	517 0.5×	693 1.0×	52	5.4k
Pietro Manzoni Spain	41	3.8k 1.3×	3.2k 2.1×	476 0.5×	518 0.5×	626 0.9×	347	6.4k

Countries citing papers authored by Sasu Tarkoma

Since Specialization

Citations

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

Fields of papers citing papers by Sasu Tarkoma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sasu Tarkoma

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Motlagh, Naser Hossein, et al.. (2024). Deep learning modeling in electricity load forecasting: Improved accuracy by combining DWT and LSTM. Energy Reports. 12. 2873–2900. 16 indexed citations

Liu, Xiaoli, Xiang Su, Guillermo del Campo, et al.. (2024). Federated Learning on 5G Edge for Industrial Internet of Things. IEEE Network. 39(1). 289–297. 6 indexed citations

Motlagh, Naser Hossein, et al.. (2024). Low-Cost Sensing for Environmental Sustainability. IEEE Pervasive Computing. 23(4). 76–86.

Sauvola, J., Sasu Tarkoma, Mika Klemettinen, Jukka Riekki, & David Doermann. (2024). Future of software development with generative AI. Automated Software Engineering. 31(1). 35 indexed citations breakdown →

Motlagh, Naser Hossein, Huber Flores, Jiangtao Wang, et al.. (2024). Population Digital Health: Continuous Health Monitoring and Profiling at Scale. SHILAP Revista de lepidopterología. 16. e60261–e60261. 2 indexed citations

Tarkoma, Sasu, et al.. (2024). Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency. ACM Transactions on Internet Technology. 24(4). 1–26. 5 indexed citations

Tarkoma, Sasu, Pan Hui, Hyowon Lee, et al.. (2023). The Price is Right? The Economic Value of Sharing Sensors. IEEE Transactions on Computational Social Systems. 11(3). 3468–3482.

Rebeiro‐Hargrave, Andrew, et al.. (2023). Protocol for hunting PM _2.5 emission hot spots in cities. 2021. 37–42. 2 indexed citations

Li, Tong, et al.. (2023). You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior. ACM Transactions on Intelligent Systems and Technology. 14(4). 1–21. 37 indexed citations

10.

Zhou, Pengyuan, Lik‐Hang Lee, Abbas Mehrabi, et al.. (2022). Federated split GANs for collaborative training with heterogeneous devices. Software Impacts. 14. 100436–100436. 1 indexed citations

11.

Motlagh, Naser Hossein, et al.. (2022). Toward Blue Skies: City-Scale Air Pollution Monitoring Using UAVs. IEEE Consumer Electronics Magazine. 12(1). 21–31. 9 indexed citations

12.

Motlagh, Naser Hossein, et al.. (2022). See No Evil: Discovering Covert Surveillance Devices Using Thermal Imaging. IEEE Pervasive Computing. 21(4). 33–42. 6 indexed citations

13.

Li, Tong, Xia Tong, Huandong Wang, et al.. (2022). Smartphone App Usage Analysis: Datasets, Methods, and Applications. IEEE Communications Surveys & Tutorials. 24(2). 937–966. 84 indexed citations

14.

Ferdous, Md Sadek, et al.. (2021). BONIK: A blockchain empowered chatbot for financial transactions. Spiral (Imperial College London). 16 indexed citations

15.

Hoque, Mohammad A., et al.. (2021). Real, Forged or Deep Fake? Enabling the Ground Truth on the Internet. IEEE Access. 9. 160471–160484. 10 indexed citations

16.

Li, Tong, Mingyang Zhang, Yong Li, et al.. (2021). The Impact of Covid-19 on Smartphone Usage. IEEE Internet of Things Journal. 8(23). 16723–16733. 32 indexed citations

17.

Xu, Dianlei, Tong Li, Yong Li, et al.. (2021). Edge Intelligence: Empowering Intelligence to the Edge of Network. Proceedings of the IEEE. 109(11). 1778–1837. 139 indexed citations

18.

Li, Tong, Yali Fan, Yong Li, Sasu Tarkoma, & Pan Hui. (2021). Understanding the Long-Term Evolution of Mobile App Usage. IEEE Transactions on Mobile Computing. 22(2). 1213–1230. 37 indexed citations

19.

Li, Tong, Yong Li, Mohammad A. Hoque, et al.. (2020). To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage. IEEE Transactions on Mobile Computing. 21(4). 1492–1507. 69 indexed citations

20.

Marchal, Samuel, et al.. (2017). IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT. IEEE Conference Proceedings. 2017. 2177–2184. 5 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