Geoffrey Mainland

2.6k citations
30 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
Parallel Computing and Optimization Techniques (11 papers)Energy Efficient Wireless Sensor Networks (9 papers)Embedded Systems Design Techniques (8 papers)

In The Last Decade

Geoffrey Mainland

29 papers receiving 1.5k citations

Hit Papers

Sensor Networks for Emergency Response: Challenges and Op...20042026201120182004200400600

Peers

Geoffrey Mainland
Comparison fields: 5 of 90
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 397
  • Computer Vision and Pattern Recognition 300
  • Artificial Intelligence 266
  • Hardware and Architecture 246
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Geoffrey Mainland relative to Chieh-Jan Mike Liang United States Chieh-Jan Mike Liang's profile →
Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 7
3 4
4 5
5 9
6 4
7 0
8 2
9 15
10 2
11 1
12 74
13 14
14 197
15 40
16 69
17
Distributed, Adaptive Resource Allocation for Sensor Networks.
1
18 105
19
Programming sensor networks using abstract regions
243
20
Sensor Networks for Emergency Response: Challenges and Opportunitiesbreakdown →
697

About Geoffrey Mainland

Geoffrey Mainland is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Embedded Systems Design Techniques (8 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Hardware and Architecture (246 citations) and Computer Vision and Pattern Recognition (300 citations). Geoffrey Mainland has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Matt Welsh, David J. Malan, Victor Shnayder, Konrad Lorincz, Steven L. Moulton, Greg Morrisett, David C. Parkes, Atanu Roy Chowdhury, Rohan Murty and Abhimanyu Gosain. Their work appears in journals such as Communications of the ACM, ACM SIGPLAN Notices and IEEE Pervasive Computing.

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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