Daniel Toal
Impact in
- Ocean Engineering top 0.5%
- Underwater Vehicles and Communication Systems
- Maritime Navigation and Safety
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- Robotic Path Planning Algorithms
Papers in
-
- Underwater Vehicles and Communication Systems 58
- Maritime Navigation and Safety 16
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- Robotics and Sensor-Based Localization 24
- Aerospace Engineering and Energy Systems 10
- Co-authors
- Gerard Dooly (59 shared papers)Edin Omerdić (70 shared papers)Joseph Coleman (23 shared papers)Thomas Newe (26 shared papers)Satja Sivčev (9 shared papers)Iman Abaspur Kazerouni (4 shared papers)Colin Flanagan (10 shared papers)Pepijn Van de Ven (6 shared papers)
- Journals
- Sensors (8 papers)Energy (3 papers)Ocean Engineering (2 papers)IEEE Access (2 papers)Energies (2 papers)
- Partner nations
- IrelandUnited KingdomItaly
In The Last Decade
Daniel Toal
125 papers receiving 1.9k citations
Daniel Toal's Hit Papers
Peers
Comparison fields: 5 of 100
- Ocean Engineering 891
- Computer Vision and Pattern Recognition 498
- Aerospace Engineering 563
- Control and Systems Engineering 447
- Geology 71
Countries citing papers authored by Daniel Toal
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
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.
All Works
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Underwater manipulators: A review Hit paper breakdown → | 2018 | 232 |
| 2 | A survey of state-of-the-art on visual SLAM Hit paper breakdown → | 2022 | 197 |
| 3 | 2017 | 169 | |
| 4 | 2006 | 87 | |
| 5 | 2006 | 59 | |
| 6 | 2018 | 56 | |
| 7 | 2017 | 56 | |
| 8 | 2018 | 49 | |
| 9 | 2004 | 48 | |
| 10 | 2005 | 48 | |
| 11 | 2017 | 40 | |
| 12 | 2019 | 38 | |
| 13 | 2018 | 34 | |
| 14 | 2017 | 34 | |
| 15 | 2021 | 30 | |
| 16 | 2018 | 27 | |
| 17 | 2006 | 26 | |
| 18 | 2018 | 24 | |
| 19 | 2011 | 22 | |
| 20 | 2018 | 21 |
About Daniel Toal
Daniel Toal is a scholar working on Ocean Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 136 papers that have together received 1.9k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (58 papers), Robotics and Sensor-Based Localization (24 papers), Maritime Navigation and Safety (16 papers), Robotic Path Planning Algorithms (16 papers), Water Quality Monitoring Technologies (13 papers), Underwater Acoustics Research (12 papers), Aerospace Engineering and Energy Systems (10 papers) and Adaptive Control of Nonlinear Systems (8 papers). The work is most often cited by research in Ocean Engineering (891 citations), Computer Vision and Pattern Recognition (498 citations), Aerospace Engineering (563 citations), Control and Systems Engineering (447 citations) and Geology (71 citations). Daniel Toal has collaborated with scholars based in Ireland, United Kingdom and Italy. Frequent co-authors include Gerard Dooly, Edin Omerdić, Joseph Coleman, Thomas Newe, Satja Sivčev, Iman Abaspur Kazerouni, Colin Flanagan, Pepijn Van de Ven, James Riordan and A. I. Al-Shamma’a. Their work appears in journals such as Sensors, Energy, Ocean Engineering, IEEE Access and Energies.
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.