Matt Perkins

2.0k citations
11 papers · 1.5k indexed · 1 hit paper · h-index 5
Topics
Lightning and Electromagnetic Phenomena (3 papers)Energy Efficient Wireless Sensor Networks (3 papers)High-Voltage Power Transmission Systems (3 papers)
Journals
IEEE Transactions on Signal ProcessingIEEE Power Engineering ReviewIEEE Transactions on Power Apparatus and Systems

In The Last Decade

Matt Perkins

10 papers receiving 1.4k citations

Hit Papers

Relative location estimation in wireless sensor networks200320262010201820034008001.2k

Peers

Matt Perkins
Comparison fields: 5 of 58
  • Electrical and Electronic Engineering 1.3k
  • Computer Networks and Communications 906
  • Ocean Engineering 650
  • Artificial Intelligence 321
  • Aerospace Engineering 223
Replace R.J. O'Dea with:
R.J. O'Dea United States
N. Khajehnouri United States
Sayed Abdulhayan United States
Rubén M. Lorenzo Spain
Wesley M. Gifford United States
Spyros Kyperountas United States
Chengdu Huang United States
Wenhan Dai United States
Lance Doherty United States
Juha-Pekka Mäkelä Finland
Matt Perkins relative to R.J. O'Dea United States R.J. O'Dea's profile →
Citations per field
00.5×1.5×
R.J. O'Dea · 1×
Citations per year

Countries citing papers authored by Matt Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Matt Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Perkins. A scholar is included among the top collaborators of Matt Perkins 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 Matt Perkins. Matt Perkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 10
3 15
4 3
5
Relative location estimation in wireless sensor networksbreakdown →
1433
6 23
7 2
8 1
9 4
10 5
11 0

About Matt Perkins

Matt Perkins is a scholar working on Applied Psychology, Signal Processing and Astronomy and Astrophysics, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lightning and Electromagnetic Phenomena (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and High-Voltage Power Transmission Systems (3 papers). The work is most often cited by research in Ocean Engineering (650 citations), Computer Networks and Communications (906 citations) and Electrical and Electronic Engineering (1.3k citations). Matt Perkins has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include N.S. Correal, Neal Patwari, R.J. O'Dea, Alfred O. Hero, Hui Xiong, Yong Ge, Chuanren Liu, Wei Geng, Keli Xiao and Stig Nilsson. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Power Engineering Review and IEEE Transactions on Power Apparatus and Systems.

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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