Ramoni Adeogun

980 total citations
71 papers, 643 citations indexed

About

Ramoni Adeogun is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Ramoni Adeogun has authored 71 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 25 papers in Computer Networks and Communications and 14 papers in Aerospace Engineering. Recurrent topics in Ramoni Adeogun's work include Advanced MIMO Systems Optimization (38 papers), Millimeter-Wave Propagation and Modeling (16 papers) and Advanced Wireless Communication Technologies (11 papers). Ramoni Adeogun is often cited by papers focused on Advanced MIMO Systems Optimization (38 papers), Millimeter-Wave Propagation and Modeling (16 papers) and Advanced Wireless Communication Technologies (11 papers). Ramoni Adeogun collaborates with scholars based in Denmark, New Zealand and South Africa. Ramoni Adeogun's co-authors include Gilberto Berardinelli, Preben Mogensen, Paul D. Teal, Pawel A. Dmochowski, Ignacio Rodríguez, Troels Pedersen, Per Christensen, Tao Tao, Harish Viswanathan and Saeed R. Khosravirad and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Ramoni Adeogun

59 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramoni Adeogun Denmark 15 521 232 101 70 50 71 643
Mardeni Roslee Malaysia 20 776 1.5× 303 1.3× 173 1.7× 205 2.9× 41 0.8× 91 945
Liu Liu China 16 781 1.5× 183 0.8× 55 0.5× 169 2.4× 22 0.4× 109 890
Hasan Farooq United States 16 510 1.0× 397 1.7× 52 0.5× 50 0.7× 76 1.5× 45 708
Kalle Ruttik Finland 13 674 1.3× 352 1.5× 62 0.6× 137 2.0× 27 0.5× 98 789
Mingjie Feng China 15 598 1.1× 408 1.8× 37 0.4× 123 1.8× 52 1.0× 46 787
L. Wiebking Germany 4 397 0.8× 146 0.6× 35 0.3× 150 2.1× 59 1.2× 6 444
Leszek Raschkowski Germany 12 1.0k 2.0× 260 1.1× 111 1.1× 308 4.4× 87 1.7× 26 1.2k
Zhimeng Zhong China 15 645 1.2× 128 0.6× 44 0.4× 242 3.5× 61 1.2× 57 759
Seungkeun Park South Korea 12 398 0.8× 293 1.3× 65 0.6× 74 1.1× 25 0.5× 94 546

Countries citing papers authored by Ramoni Adeogun

Since Specialization
Citations

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

Fields of papers citing papers by Ramoni Adeogun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramoni Adeogun

This figure shows the co-authorship network connecting the top 25 collaborators of Ramoni Adeogun. A scholar is included among the top collaborators of Ramoni Adeogun 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 Ramoni Adeogun. Ramoni Adeogun 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.
Rosa, Claudio, et al.. (2025). Boosting XR Capacity Through Multi-Connected XR Tethering Groups With Selection Combining. VBN Forskningsportal (Aalborg Universitet). 1–6.
2.
Rosa, Claudio, et al.. (2025). Enhancing Multi-Connected XR Device Performance With Soft Combining and Joint HARQ Processing in Cooperative Multicast. IEEE Open Journal of the Communications Society. 6. 2438–2452. 1 indexed citations
3.
Adeogun, Ramoni, et al.. (2025). Auxiliary Particle Filtering With Multitudinous Lookahead Sampling for Accurate Target Tracking. IEEE Access. 13. 42874–42886.
4.
Jacobsen, Thomas, et al.. (2025). DRL-Based Distributed Joint Sub-Band Allocation and Power Control for eXtended Reality Over In-Body Subnetworks. VBN Forskningsportal (Aalborg Universitet). 1–6.
5.
Adeogun, Ramoni. (2025). Toward Intelligent Fading Channel Prediction: A Comprehensive Survey. IEEE Access. 13. 111260–111281.
6.
Adeogun, Ramoni, et al.. (2025). Robust Resource Management for Mission-Critical in-Factory Subnetworks Under External Interference. VBN Forskningsportal (Aalborg Universitet). 1–6.
7.
Berardinelli, Gilberto, et al.. (2024). A Power Efficient Cooperative Communication Protocol for 6G in-Factory Subnetworks. VBN Forskningsportal (Aalborg Universitet). 670–675. 2 indexed citations
8.
Adeogun, Ramoni, et al.. (2024). Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems. VBN Forskningsportal (Aalborg Universitet). 1–6. 3 indexed citations
9.
Adeogun, Ramoni, et al.. (2024). Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks. VBN Forskningsportal (Aalborg Universitet). 1–7. 3 indexed citations
10.
Rosa, Claudio, et al.. (2024). Cooperative Multicast for Multi-Connected XR Devices with Joint HARQ Processing. VBN Forskningsportal (Aalborg Universitet). 1–6. 2 indexed citations
11.
Adeogun, Ramoni, et al.. (2024). On Transfer Learning for a Fully Convolutional Deep Neural SIMO Receiver. VBN Forskningsportal (Aalborg Universitet). 1–7. 1 indexed citations
12.
Berardinelli, Gilberto, et al.. (2024). Power-Efficient Cooperative Communication Within IIoT Subnetworks: Relay or RIS?. IEEE Internet of Things Journal. 12(9). 12483–12500.
13.
Adeogun, Ramoni, et al.. (2024). Power Control for 6G In-Factory Subnetworks With Partial Channel Information Using Graph Neural Networks. IEEE Open Journal of the Communications Society. 5. 3120–3135. 8 indexed citations
14.
Berardinelli, Gilberto & Ramoni Adeogun. (2023). On the Required Radio Resources for Ultra-Reliable Communication in Highly Interfered Scenarios. IEEE Communications Letters. 27(6). 1639–1643.
15.
Adeogun, Ramoni & Gilberto Berardinelli. (2022). Multi-Agent Dynamic Resource Allocation in 6G in-X Subnetworks with Limited Sensing Information. Sensors. 22(13). 5062–5062. 15 indexed citations
16.
Adeogun, Ramoni, Xuesong Cai, Wei Fan, et al.. (2021). Joint Modeling of Received Power, Mean Delay, and Delay Spread for Wideband Radio Channels. IEEE Transactions on Antennas and Propagation. 69(8). 4871–4882. 3 indexed citations
17.
Adeogun, Ramoni, Gilberto Berardinelli, & Preben Mogensen. (2021). Learning to Dynamically Allocate Radio Resources in Mobile 6G in-X Subnetworks. VBN Forskningsportal (Aalborg Universitet). 959–965. 13 indexed citations
18.
Adeogun, Ramoni, et al.. (2021). Auto-Generated Summaries for Stochastic Radio Channel Models. VBN Forskningsportal (Aalborg Universitet). 1–5. 1 indexed citations
19.
Berardinelli, Gilberto, Preben Mogensen, & Ramoni Adeogun. (2020). 6G subnetworks for Life-Critical Communication. VBN Forskningsportal (Aalborg Universitet). 1–5. 27 indexed citations
20.
Adeogun, Ramoni, et al.. (2017). Multi-objective decision-making framework for effective waste collection in smart cities. 155–159. 7 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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