Mikael Gidlund

8.7k total citations · 1 hit paper
232 papers, 6.1k citations indexed

About

Mikael Gidlund is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Mikael Gidlund has authored 232 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Computer Networks and Communications, 142 papers in Electrical and Electronic Engineering and 32 papers in Biomedical Engineering. Recurrent topics in Mikael Gidlund's work include Energy Efficient Wireless Sensor Networks (77 papers), Energy Harvesting in Wireless Networks (44 papers) and Wireless Networks and Protocols (37 papers). Mikael Gidlund is often cited by papers focused on Energy Efficient Wireless Sensor Networks (77 papers), Energy Harvesting in Wireless Networks (44 papers) and Wireless Networks and Protocols (37 papers). Mikael Gidlund collaborates with scholars based in Sweden, Pakistan and China. Mikael Gidlund's co-authors include Emiliano Sisinni, Ulf Jennehag, Song Han, Abusayeed Saifullah, Aamir Mahmood, Johan Åkerberg, Syed Ali Hassan, Mats Björkman, Youzhi Xu and Tingting Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Signal Processing.

In The Last Decade

Mikael Gidlund

218 papers receiving 5.9k citations

Hit Papers

Industrial Internet of Things: Challenges, Opportunities,... 2018 2026 2020 2023 2018 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikael Gidlund Sweden 36 4.0k 3.0k 778 684 670 232 6.1k
Emiliano Sisinni Italy 33 3.0k 0.8× 2.7k 0.9× 893 1.1× 500 0.7× 507 0.8× 241 5.3k
Mehdi Mohammadi Iran 16 4.1k 1.0× 2.7k 0.9× 490 0.6× 873 1.3× 1.3k 1.9× 35 6.4k
Moussa Ayyash United States 19 4.3k 1.1× 3.2k 1.0× 439 0.6× 813 1.2× 1.3k 2.0× 70 6.9k
Luigi Alfredo Grieco Italy 37 4.9k 1.2× 2.9k 0.9× 787 1.0× 618 0.9× 877 1.3× 186 6.7k
Mohammed Aledhari United States 12 4.2k 1.0× 2.5k 0.8× 418 0.5× 1.2k 1.7× 1.6k 2.3× 25 6.5k
Linghe Kong China 40 2.6k 0.6× 3.0k 1.0× 462 0.6× 832 1.2× 1.0k 1.5× 258 6.0k
Song Han United States 23 2.5k 0.6× 1.3k 0.4× 439 0.6× 415 0.6× 484 0.7× 150 4.0k
Zhengguo Sheng United Kingdom 38 2.7k 0.7× 2.6k 0.9× 288 0.4× 476 0.7× 668 1.0× 170 4.8k
Changle Li China 37 2.4k 0.6× 2.1k 0.7× 687 0.9× 632 0.9× 646 1.0× 304 5.2k
Lui Sha United States 50 8.0k 2.0× 1.8k 0.6× 296 0.4× 1.4k 2.1× 877 1.3× 307 13.8k

Countries citing papers authored by Mikael Gidlund

Since Specialization
Citations

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

Fields of papers citing papers by Mikael Gidlund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikael Gidlund

This figure shows the co-authorship network connecting the top 25 collaborators of Mikael Gidlund. A scholar is included among the top collaborators of Mikael Gidlund 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 Mikael Gidlund. Mikael Gidlund 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
3.
Hancke, Gerhard P., et al.. (2024). A Scheme for Distributed Vehicle Authentication and Revocation in Decentralized VANETs. IEEE Access. 12. 68648–68667. 6 indexed citations
4.
Hassan, Syed Ali, et al.. (2023). On the Statistical Channel Distribution and Effective Capacity Analysis of STAR-RIS-Assisted BAC-NOMA Systems. IEEE Transactions on Wireless Communications. 23(5). 4675–4690. 8 indexed citations
5.
Mahmood, Aamir, et al.. (2023). Reliable Interference Prediction and Management with Time-Correlated Traffic for URLLC. 6699–6704. 2 indexed citations
6.
Hassan, Syed Ali, et al.. (2022). Computation Offloading and Resource Allocation in MEC-Enabled Integrated Aerial-Terrestrial Vehicular Networks: A Reinforcement Learning Approach. IEEE Transactions on Intelligent Transportation Systems. 23(11). 21478–21491. 124 indexed citations
7.
Mahmood, Aamir, Luca Beltramelli, Sarder Fakhrul Abedin, et al.. (2021). Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends. IEEE Transactions on Industrial Informatics. 18(6). 4122–4137. 171 indexed citations
8.
Zhang, Tingting, et al.. (2021). OTP-Based Symmetric Group Key Establishment Scheme for IoT Networks. 1–8. 3 indexed citations
9.
Sisinni, Emiliano, Dhiego Fernandes Carvalho, Paolo Ferrari, Alessandra Flammini, & Mikael Gidlund. (2021). Adding Redundancy to LoRaWAN for Emergency Communications at the Factory Floor. IEEE Transactions on Industrial Informatics. 18(10). 7332–7340. 7 indexed citations
10.
Mahmood, Nurul Huda, et al.. (2020). Wireless Networks and Industrial IoT. The UWS Academic Portal (University of the West of Scotland). 17 indexed citations
11.
Yang, Dong, et al.. (2020). Improving Power Stability of Energy Harvesting Devices With Edge Computing-Assisted Time Fair Energy Allocation. IEEE Transactions on Green Communications and Networking. 5(1). 540–551. 7 indexed citations
12.
Ansari, Rafay Iqbal, Haris Pervaiz, Chrysostomos Chrysostomou, et al.. (2019). Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum Management. IEEE Access. 7. 34925–34937. 5 indexed citations
13.
Jennehag, Ulf, et al.. (2019). Lightweight IoT Group Key Establishment Scheme From the One Time Pad. 101–106. 3 indexed citations
14.
Mahmood, Aamir, et al.. (2018). Scalability Analysis of a LoRa Network Under Imperfect Orthogonality. IEEE Transactions on Industrial Informatics. 15(3). 1425–1436. 186 indexed citations
15.
Sisinni, Emiliano, et al.. (2018). Priority-Aware Wireless Fieldbus Protocol for Mixed-Criticality Industrial Wireless Sensor Networks. IEEE Sensors Journal. 19(7). 2767–2780. 34 indexed citations
16.
Mahmood, Aamir, et al.. (2018). Real-time Interference Identification via Supervised Learning: A Coexistence Framework for Massive IoT Networks. arXiv (Cornell University). 1 indexed citations
17.
Gidlund, Mikael, Tomas Lennvall, & Johan Åkerberg. (2017). Will 5G become yet another wireless technology for industrial automation?. Publications (Mid Sweden University). 1319–1324. 25 indexed citations
18.
Yang, Dong, Hongchao Wang, Tao Zheng, et al.. (2014). Demonstration abstract: applying industrial wireless sensor networks to welder machine system. Information Processing in Sensor Networks. 319–320. 3 indexed citations
19.
Gidlund, Mikael. (2008). A radio resource allocation scheme for multi-traffic broadband wireless access systems. 61–64. 2 indexed citations
20.
Gidlund, Mikael, et al.. (2003). A CRC-based Link adaptation algorithm for IEEE 802.11a wireless LAN. Asia-Pacific Conference on Communications. 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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