David Grace

4.9k total citations · 1 hit paper
219 papers, 3.4k citations indexed

About

David Grace is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, David Grace has authored 219 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Electrical and Electronic Engineering, 145 papers in Computer Networks and Communications and 56 papers in Aerospace Engineering. Recurrent topics in David Grace's work include Advanced MIMO Systems Optimization (87 papers), Wireless Communication Networks Research (58 papers) and Advanced Wireless Network Optimization (43 papers). David Grace is often cited by papers focused on Advanced MIMO Systems Optimization (87 papers), Wireless Communication Networks Research (58 papers) and Advanced Wireless Network Optimization (43 papers). David Grace collaborates with scholars based in United Kingdom, China and Sweden. David Grace's co-authors include T.C. Tozer, Paul Mitchell, Alister G. Burr, Tim Clarke, J. Thornton, Nils Morozs, Qihui Wu, Junfei Qiu, Guoru Ding and Muhammad D. Zakaria 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

David Grace

209 papers receiving 3.2k citations

Hit Papers

Designing and implementing future aerial communication ne... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Grace United Kingdom 27 2.3k 1.8k 1.5k 177 163 219 3.4k
Mario Marchese Italy 32 1.4k 0.6× 2.4k 1.3× 1.2k 0.8× 211 1.2× 127 0.8× 250 3.3k
Thang X. Vu Luxembourg 22 1.5k 0.6× 1.3k 0.7× 1.2k 0.8× 265 1.5× 50 0.3× 117 2.6k
Weidong Wang China 26 1.5k 0.7× 1.4k 0.7× 1.1k 0.8× 209 1.2× 37 0.2× 190 2.6k
Huaping Liu United States 31 2.2k 1.0× 1.1k 0.6× 603 0.4× 484 2.7× 304 1.9× 238 3.0k
Dongfeng Yuan China 21 2.4k 1.0× 1.5k 0.8× 616 0.4× 146 0.8× 30 0.2× 160 3.0k
Navrati Saxena South Korea 21 2.9k 1.2× 1.9k 1.0× 586 0.4× 197 1.1× 39 0.2× 102 3.7k
Laurie Cuthbert United Kingdom 22 1.1k 0.5× 1.1k 0.6× 369 0.2× 127 0.7× 113 0.7× 181 1.8k
István Z. Kovács Denmark 34 3.8k 1.6× 2.2k 1.2× 1.1k 0.7× 91 0.5× 86 0.5× 146 4.2k
Shiwen He China 23 2.5k 1.1× 1.1k 0.6× 1.1k 0.7× 220 1.2× 29 0.2× 129 3.3k
Zhen Yang China 28 1.9k 0.8× 810 0.4× 461 0.3× 523 3.0× 104 0.6× 235 2.8k

Countries citing papers authored by David Grace

Since Specialization
Citations

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

Fields of papers citing papers by David Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Grace

This figure shows the co-authorship network connecting the top 25 collaborators of David Grace. A scholar is included among the top collaborators of David Grace 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 David Grace. David Grace 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
2.
Grace, David, et al.. (2024). Energy Consumption of Machine Learning Enhanced Open RAN: A Comprehensive Review. IEEE Access. 12. 81889–81910. 11 indexed citations
3.
Grace, David, et al.. (2018). Energy-Aware Resource Management in Heterogeneous Cellular Networks With Hybrid Energy Sources. IEEE Transactions on Network and Service Management. 16(1). 279–293. 40 indexed citations
5.
Sulaiman, M. I., et al.. (2016). Cooperative and Reinforcement Learning in Energy Efficient Dual Hop Clustered Networks. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 48. 1 indexed citations
6.
Mitchell, Paul, et al.. (2014). Application of Q-Learning for RACH Access to Support M2M Traffic over a Cellular Network. European Wireless Conference. 1–6. 27 indexed citations
7.
Yan, Yan, Paul Mitchell, Tim Clarke, & David Grace. (2014). Adaptation of the ALOHA-Q protocol to Multi-Hop Wireless Sensor Networks. European Wireless Conference. 1–6. 4 indexed citations
8.
Mitchell, Paul, et al.. (2013). Distributed Frame Size Selection for a Q learning based Slotted ALOHA Protocol.. 1–5. 4 indexed citations
9.
Zhao, Qiyang & David Grace. (2013). Agent transfer learning for cognitive resource management on multi-hop backhaul networks. Future Network & Mobile Summit. 1–10. 5 indexed citations
10.
Morozs, Nils, David Grace, & Tim Clarke. (2013). Case-based reinforcement learning for cognitive spectrum assignment in cellular networks with dynamic topologies. 1–6. 6 indexed citations
11.
Morozs, Nils, Tim Clarke, & David Grace. (2013). A Novel Adaptive Call Admission Control Scheme for Distributed Reinforcement Learning Based Dynamic Spectrum Access in Cellular Networks. 1–5. 8 indexed citations
12.
Koşunalp, Selahattin, Paul Mitchell, David Grace, & Tim Clarke. (2013). Practical Implementation Issues of Reinforcement Learning Based ALOHA for Wireless Sensor Networks. 1–5. 6 indexed citations
13.
Grace, David, et al.. (2013). Macro-cell overlaid green topology management for beyond next generation mobile broadband systems. Future Network & Mobile Summit. 1–9. 1 indexed citations
14.
Jiang, Tao, et al.. (2012). Impact of multi-beam antenna amplitude tapering on Co-Channel Interference and backhaul throughput density. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 394–398. 1 indexed citations
15.
Grace, David, et al.. (2010). Low-latency mac-layer handoff for a high-altitude platform delivering broadband communications. 2010(333). 39–49. 3 indexed citations
16.
Arnon, Shlomi, et al.. (2008). Special Issue on Advanced Communication Techniques and Applications for High-Altitude Platforms della rivista EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING. PORTO Publications Open Repository TOrino (Politecnico di Torino). 7 indexed citations
17.
Yang, Zhe, et al.. (2007). Assessment of Coexistence Performance for WiMAX Broadband in High Altitude Platform Cellular System and Multiple-Operator Terrestrial Deployments. 3 indexed citations
18.
Grace, David, et al.. (2005). Spectrum Sharing between High Altitude Platforms and Other Services in Ka-band. IEICE technical report. Speech. 105(322). 139–144.
19.
Mitchell, Paul, et al.. (2005). The effectiveness of link outage tolerance as a Fade Mitigation Technique. European Wireless Conference. 1–4. 2 indexed citations
20.
Grace, David, J. Thornton, Greg White, et al.. (2002). Broadband communications from HeliNet high altitude platforms. 509. 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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