Geoffrey Mainland

2.6k total citations · 1 hit paper
30 papers, 1.6k citations indexed

About

Geoffrey Mainland is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Geoffrey Mainland has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Geoffrey Mainland's work include Parallel Computing and Optimization Techniques (11 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Embedded Systems Design Techniques (8 papers). Geoffrey Mainland is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Embedded Systems Design Techniques (8 papers). Geoffrey Mainland collaborates with scholars based in United States, United Kingdom and Spain. Geoffrey Mainland's co-authors include Matt Welsh, Steven L. Moulton, Victor Shnayder, David J. Malan, Konrad Lorincz, Greg Morrisett, David C. Parkes, Rohan Murty, Ian Rose and Josh Bers and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and IEEE Pervasive Computing.

In The Last Decade

Geoffrey Mainland

29 papers receiving 1.5k 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.

Sensor Networks for Emergency Response: Challenges and Opportunities

2004 697 citations Konrad Lorincz, David J. Malan et al. IEEE Pervasive Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoffrey Mainland United States	14	1.1k	397	300	266	246	30	1.6k
Qingxu Deng China	23	983 0.9×	437 1.1×	161 0.5×	165 0.6×	697 2.8×	143	1.8k
Jerry Zhao United States	14	2.8k 2.5×	1.3k 3.2×	265 0.9×	154 0.6×	214 0.9×	36	3.2k
Raj Rajkumar India	21	707 0.6×	524 1.3×	247 0.8×	347 1.3×	366 1.5×	88	1.7k
Chieh-Jan Mike Liang United States	17	1.1k 0.9×	676 1.7×	138 0.5×	117 0.4×	96 0.4×	42	1.5k
Chi‐Sheng Shih Taiwan	19	678 0.6×	284 0.7×	258 0.9×	151 0.6×	273 1.1×	146	1.3k
Pedro José Marrón Germany	23	1.1k 1.0×	577 1.5×	336 1.1×	135 0.5×	65 0.3×	142	1.5k
Simon Duquennoy Sweden	24	2.0k 1.8×	902 2.3×	241 0.8×	148 0.6×	81 0.3×	53	2.3k
Christian Steger Austria	15	335 0.3×	561 1.4×	93 0.3×	212 0.8×	358 1.5×	262	1.2k
Radu Stoleru United States	22	2.5k 2.2×	1.4k 3.4×	463 1.5×	250 0.9×	52 0.2×	104	3.1k
Matti Hiltunen United States	24	1.5k 1.3×	276 0.7×	62 0.2×	542 2.0×	267 1.1×	110	2.1k

Countries citing papers authored by Geoffrey Mainland

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Mainland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Mainland

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Mainland. A scholar is included among the top collaborators of Geoffrey Mainland 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 Geoffrey Mainland. Geoffrey Mainland 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

1.

Mainland, Geoffrey, et al.. (2022). Radio Modulation Classification Using Deep Residual Neural Networks. 311–317. 3 indexed citations

2.

Mainland, Geoffrey, et al.. (2022). Experimentation framework for wireless communication systems under jamming scenarios. IET Cyber-Physical Systems Theory & Applications. 7(2). 93–111. 4 indexed citations

3.

Mainland, Geoffrey, et al.. (2022). Mitigating RF jamming attacks at the physical layer with machine learning. IET Communications. 17(1). 12–28. 7 indexed citations

4.

Mainland, Geoffrey, et al.. (2020). Real-time Online Learning for Pattern Reconfigurable Antenna State Selection. 13–18. 5 indexed citations

5.

Mainland, Geoffrey. (2017). Better living through operational semantics: an optimizing compiler for radio protocols. Proceedings of the ACM on Programming Languages. 1(ICFP). 1–26.

6.

Mainland, Geoffrey, Roman Leshchinskiy, & Simon Peyton Jones. (2017). Exploiting vector instructions with generalized stream fusion. Communications of the ACM. 60(5). 83–91. 4 indexed citations

7.

Stewart, Gordon, et al.. (2015). Ziria. ACM SIGPLAN Notices. 50(4). 415–428. 2 indexed citations

8.

Stewart, Gordon, et al.. (2015). Ziria. 415–428. 15 indexed citations

9.

Stewart, Gordon, et al.. (2014). Ziria. 357–358. 2 indexed citations

10.

Mainland, Geoffrey, Roman Leshchinskiy, & Simon Peyton Jones. (2013). Exploiting vector instructions with generalized stream fusion. 37–48. 16 indexed citations

11.

Mainland, Geoffrey. (2012). Explicitly heterogeneous metaprogramming with MetaHaskell. ACM SIGPLAN Notices. 47(9). 311–322. 1 indexed citations

12.

Mainland, Geoffrey. (2012). Explicitly heterogeneous metaprogramming with MetaHaskell. 311–322. 23 indexed citations

13.

Mainland, Geoffrey & Greg Morrisett. (2010). Nikola. ACM SIGPLAN Notices. 45(11). 67–78. 14 indexed citations

14.

Murty, Rohan, Geoffrey Mainland, Ian Rose, et al.. (2008). CitySense: An Urban-Scale Wireless Sensor Network and Testbed. 583–588. 197 indexed citations

15.

Mainland, Geoffrey, Greg Morrisett, & Matt Welsh. (2008). Flask. 335–346. 40 indexed citations

16.

Mainland, Geoffrey. (2007). Why it's nice to be quoted. 73–82. 69 indexed citations

17.

Mainland, Geoffrey & Matt Welsh. (2005). Distributed, Adaptive Resource Allocation for Sensor Networks.. 30(5). 40–44. 1 indexed citations

18.

Mainland, Geoffrey, David C. Parkes, & Matt Welsh. (2005). Decentralized, adaptive resource allocation for sensor networks. Networked Systems Design and Implementation. 315–328. 105 indexed citations

19.

Welsh, Matt & Geoffrey Mainland. (2004). Programming sensor networks using abstract regions. 3–3. 243 indexed citations

20.

Lorincz, Konrad, David J. Malan, Victor Shnayder, et al.. (2004). Sensor Networks for Emergency Response: Challenges and Opportunities. IEEE Pervasive Computing. 3(4). 16–23. 697 indexed citations breakdown →

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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