Mae Seto

3.6k citations
87 papers · 2.6k · 1 hit paper · h-index 21

Impact in

Papers in

Mae Seto

73 papers receiving 2.5k citations

Mae Seto's Hit Papers

AUV Navigation and Localization: A Review 2014 · 1.1k citations
1.1k0+4+8Years since publication2505007501000

Peers

Mae Seto
Comparison fields: 5 of 85
  • Ocean Engineering 1.6k
  • Aerospace Engineering 1.2k
  • Oceanography 449
  • Computer Vision and Pattern Recognition 700
  • Control and Systems Engineering 416
Replace Andrea Caiti with:
Andrea Caiti Italy
David Ribas Spain
Stephen M. Rock United States
Gabriel Oliver Spain
Sajad Saeedi Canada
Narcís Palomeras Spain
Ye Li China
Tao Zhang China
Paulo Oliveira Portugal
Massimo Caccia Italy
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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AUV Navigation and Localization: A Review
Hit paper breakdown →
20141118
2 2015212
3 2012105
4 200296
5 201281
6 201580
7 200975
8 200269
9 201462
10 201257
11 201438
12 201436
13 200233
14 199528
15 201228
16 199726
17 201226
18 201725
19 201222
20 201221

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 87 papers that have together received 2.6k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (54 papers), Robotics and Sensor-Based Localization (30 papers), Robotic Path Planning Algorithms (21 papers), Underwater Acoustics Research (15 papers), Maritime Navigation and Safety (14 papers), Indoor and Outdoor Localization Technologies (11 papers), Wind and Air Flow Studies (7 papers) and Target Tracking and Data Fusion in Sensor Networks (7 papers). The work is most often cited by research in Ocean Engineering (1.6k citations), Aerospace Engineering (1.2k citations), Oceanography (449 citations), Computer Vision and Pattern Recognition (700 citations) and Control and Systems Engineering (416 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, Casey Lambert, Bradley J. Buckham, Meyer Nahon, B. Ahlborn and V. J. Modi. 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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