Kevin D. LePage

1.6k citations
81 papers · 1.3k indexed · h-index 19
Topics
Underwater Acoustics Research (59 papers)Underwater Vehicles and Communication Systems (59 papers)Target Tracking and Data Fusion in Sensor Networks (27 papers)

In The Last Decade

Kevin D. LePage

75 papers receiving 1.2k citations

Peers

Kevin D. LePage
Comparison fields: 5 of 63
  • Ocean Engineering 799
  • Oceanography 549
  • Artificial Intelligence 370
  • Electrical and Electronic Engineering 283
  • Computer Networks and Communications 220
Replace Alessandra Teseï with:
Alessandra Teseï Italy
Dajun Sun China
Hiroshi Ochi Japan
Jingwei Yin China
En Cheng China
A. B. Baggeroer United States
Andrea Munafò Italy
Pietro Stinco Italy
Josko Catipovic United States
Yaan Li China
Kevin D. LePage relative to Alessandra Teseï Italy Alessandra Teseï's profile →
Citations per field
00.5×1.5×2.3×
Alessandra Teseï · 1×
Citations per year

Countries citing papers authored by Kevin D. LePage

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. LePage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. LePage. 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 Kevin D. LePage. The network helps show where Kevin D. LePage may publish in the future.

Co-authorship network of co-authors of Kevin D. LePage

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. LePage. A scholar is included among the top collaborators of Kevin D. LePage 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 Kevin D. LePage. Kevin D. LePage 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 2
2 5
3 26
4 4
5 2
6 11
7 18
8 3
9
Cooperative robotic networks for underwater surveillance: an overview
0
10 78
11 9
12 14
13
Cognitive multistatic AUV networks
19
14
Particle filtering approach to multistatic underwater sensor networks with left-right ambiguity
7
15
The subarray MVDR beamformer for active littoral sonar systems
1
16 1
17 14
18 4
19 1
20 32

About Kevin D. LePage

Kevin D. LePage is a scholar working on Oceanography, Ocean Engineering and Artificial Intelligence, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Underwater Acoustics Research (59 papers), Underwater Vehicles and Communication Systems (59 papers) and Target Tracking and Data Fusion in Sensor Networks (27 papers). The work is most often cited by research in Ocean Engineering (799 citations), Oceanography (549 citations) and Signal Processing (154 citations). Kevin D. LePage has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Gabriele Ferri, Andrea Munafò, Paolo Braca, Ryan Goldhahn, Alessandra Teseï, Henrik Schmidt, João Alves, Raffaele Grasso, Henrik Schmidt and Peter Willett. Their work appears in journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Sensors Journal.

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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