Daniel Toal

3k citations
153 papers · 2.3k · 2 hit papers · h-index 22

Impact in

Papers in

Daniel Toal

143 papers receiving 2.2k citations

Daniel Toal's Hit Papers

A survey of state-of-the-art on visual SLAM 2022 · 245 citations
2450+2+5Years since publication50100150200250

Peers

Daniel Toal
Comparison fields: 5 of 78
  • Ocean Engineering 1k
  • Aerospace Engineering 417
  • Control and Systems Engineering 280
  • Computer Vision and Pattern Recognition 227
  • Industrial and Manufacturing Engineering 61
Replace Gerard Dooly with:
Gerard Dooly Ireland
Zhixiang Liu China
Alessandro Ridolfi Italy
Massimo Caccia Italy
Gabriele Bruzzone Italy
Simon Watson United Kingdom
Xianbo Xiang China
Gerald Seet Singapore
Jose Miguel Almeida Portugal
Daniel Toal relative to Gerard Dooly Ireland Gerard Dooly's profile →
Citations per field
00.5×1.7×
Gerard Dooly · 1×
Citations per year

Countries citing papers authored by Daniel Toal

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Toal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Toal, 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 Daniel Toal Line = papers co-authored together Daniel Toal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Underwater manipulators: A review
Hit paper breakdown →
2018270
2
A survey of state-of-the-art on visual SLAM
Hit paper breakdown →
2022245
3 2017199
4 200690
5 200662
6 201762
7 201860
8 201857
9 200555
10 200450
11 201949
12 201743
13 201838
14 201736
15 201835
16 202134
17 201833
18 200627
19 201927
20 201823

About Daniel Toal

Daniel Toal is a scholar working on Ocean Engineering, Aerospace Engineering, Oceanography, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 153 papers that have together received 2.3k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (78 papers), Aerospace Engineering and Energy Systems (10 papers), Wind Turbine Control Systems (9 papers), Underwater Acoustics Research (8 papers), Teleoperation and Haptic Systems (6 papers), Cryptographic Implementations and Security (6 papers), Advanced Vision and Imaging (6 papers) and Advanced Fiber Optic Sensors (5 papers). The work is most often cited by research in Ocean Engineering (1k citations), Aerospace Engineering (417 citations), Control and Systems Engineering (280 citations), Computer Vision and Pattern Recognition (227 citations) and Industrial and Manufacturing Engineering (61 citations). Daniel Toal has collaborated with scholars based in Ireland, United Kingdom and Norway. Frequent co-authors include Gerard Dooly, Edin Omerdić, Joseph Coleman, Thomas Newe, Satja Sivčev, Iman Abaspur Kazerouni, Colin Flanagan, Pepijn W.J. van de Ven, James F Riordan and Jonathan Horgan. Their work appears in journals such as Sensors, Energy, IEEE Access, Control Engineering Practice and Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment.

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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