Mae Seto

3.6k citations
96 papers · 2.8k · 1 hit paper · h-index 21

Impact in

Papers in

Mae Seto

82 papers receiving 2.7k citations

Mae Seto's Hit Papers

AUV Navigation and Localization: A Review 2014 · 1.2k citations
1.2k0+4+8Years since publication2505007501000

Peers

Mae Seto
Comparison fields: 5 of 86
  • Ocean Engineering 1.7k
  • Aerospace Engineering 1.3k
  • Oceanography 481
  • Computer Vision and Pattern Recognition 771
  • Control and Systems Engineering 448
Replace Andrea Caiti with:
Andrea Caiti Italy
David Ribas Spain
Gabriel Oliver Spain
Stephen M. Rock United States
Sajad Saeedi Canada
Narcís Palomeras Spain
Ye Li China
Paulo Oliveira Portugal
Anı́bal Matos Portugal
Tao Zhang China
Mae Seto relative to Andrea Caiti Italy Andrea Caiti's profile →
Citations per field
00.5×1.5×2.0×
Andrea Caiti · 1×
Citations per year

Countries citing papers authored by Mae Seto

Since Specialization
Citations

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

Fields of papers citing papers by Mae Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mae Seto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mae Seto Line = papers co-authored together Mae Seto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AUV Navigation and Localization: A Review
Hit paper breakdown →
20141179
2 2015235
3 2012107
4 2002102
5 201288
6 201584
7 200981
8 200274
9 201467
10 201259
11 201443
12 201440
13 199535
14 200234
15 201233
16 199731
17 201728
18 201226
19 201224
20 201423

About Mae Seto

Mae Seto is a scholar working on Ocean Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Oceanography and Electrical and Electronic Engineering, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (59 papers), Robotics and Sensor-Based Localization (33 papers), Robotic Path Planning Algorithms (25 papers), Maritime Navigation and Safety (16 papers), Underwater Acoustics Research (15 papers), Indoor and Outdoor Localization Technologies (11 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Wind and Air Flow Studies (7 papers). The work is most often cited by research in Ocean Engineering (1.7k citations), Aerospace Engineering (1.3k citations), Oceanography (481 citations), Computer Vision and Pattern Recognition (771 citations) and Control and Systems Engineering (448 citations). Mae Seto has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Howard Li, Sajad Saeedi, Liam Paull, Michael Trentini, John J. Leonard, V. J. Modi, Bradley J. Buckham, Meyer Nahon, Casey Lambert and B. Ahlborn. Their work appears in journals such as IEEE Journal of Oceanic Engineering, Journal of Intelligent & Robotic Systems, Ocean Engineering, The Journal of the Acoustical Society of America and Fluid Dynamics Research.

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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