Geoffrey Mainland

45 total papers · 2.6k total citations
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, Konrad Lorincz, Victor Shnayder, David J. Malan, Steven L. Moulton, 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

Sensor Networks for Emerg... 2004 2026 2011 2018 2004 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Geoffrey Mainland 1.1k 398 301 264 247 30 1.6k
Björn Grönvall 1.7k 1.5× 668 1.7× 325 1.1× 134 0.5× 197 0.8× 13 1.9k
Mark Hempstead 1.4k 1.3× 950 2.4× 193 0.6× 165 0.6× 322 1.3× 51 1.9k
Marko Hännikäinen 1.2k 1.1× 747 1.9× 257 0.9× 325 1.2× 471 1.9× 113 1.9k
Niclas Finne 1.5k 1.3× 652 1.6× 220 0.7× 143 0.5× 104 0.4× 39 1.8k
Fredrik Österlind 1.8k 1.6× 865 2.2× 223 0.7× 93 0.4× 100 0.4× 45 2.0k
Ram Kumar 1.9k 1.7× 544 1.4× 310 1.0× 113 0.4× 269 1.1× 14 2.1k
Man Lin 934 0.8× 473 1.2× 272 0.9× 336 1.3× 323 1.3× 64 1.8k
Chieh-Jan Mike Liang 1.1k 0.9× 676 1.7× 138 0.5× 117 0.4× 96 0.4× 42 1.5k
Nicolas Tsiftes 1.7k 1.5× 807 2.0× 289 1.0× 125 0.5× 103 0.4× 62 1.9k
David Chu 1.2k 1.1× 802 2.0× 598 2.0× 192 0.7× 140 0.6× 64 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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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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