Gerard Dooly

2.5k citations
121 papers · 1.7k indexed · 2 hit papers · h-index 20

Impact in

Papers in

Gerard Dooly

111 papers receiving 1.6k citations

Hit Papers

A survey of state-of-the-art on visual SLAM 2022 · 197 citations
197201820262020202350100150200

Peers

Gerard Dooly
Comparison fields: 5 of 104
  • Ocean Engineering 578
  • Computer Vision and Pattern Recognition 395
  • Bioengineering 103
  • Aerospace Engineering 412
  • Geology 77
Replace Qiwu Luo with:
Qiwu Luo China
Fabio Leccese Italy
Daniel Toal Ireland
Renping Xie China
Fajie Duan China
Mahmoud Meribout United Arab Emirates
Branko Glišić United States
Yonghui Hu China
Tomonori Nagayama Japan
Mohd Hafiz Fazalul Rahiman Malaysia
Gerard Dooly relative to Qiwu Luo China Qiwu Luo's profile →
Citations per field
00.5×10×20×30×36×
Qiwu Luo · 1×
Citations per year

Countries citing papers authored by Gerard Dooly

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Dooly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20258
3 20255
4 20242
5 20241
6 202319
7 202221
8 20211
9 202013
10 20207
11 20201
12 201834
13 201824
14
Measurement of carbon dioxide using low-cost & compact spectroscopy based gas sensor
20181
15 201827
16 201740
17 2017169
18 20168
19 201532
20
An optical spectroscopic based reflective sensor for CO2 measurement with signal to noise ratio improvement
20151

About Gerard Dooly

Gerard Dooly is a scholar working on Ocean Engineering, Bioengineering, Spectroscopy, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 121 papers that have together received 1.7k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (30 papers), Spectroscopy and Laser Applications (23 papers), Robotics and Sensor-Based Localization (20 papers), Gas Sensing Nanomaterials and Sensors (17 papers), Advanced Fiber Optic Sensors (11 papers), Maritime Navigation and Safety (10 papers), Analytical Chemistry and Sensors (9 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Ocean Engineering (578 citations), Computer Vision and Pattern Recognition (395 citations), Bioengineering (103 citations), Aerospace Engineering (412 citations) and Geology (77 citations). Gerard Dooly has collaborated with scholars based in Ireland, United Kingdom and Italy. Frequent co-authors include Daniel Toal, Edin Omerdić, Joseph Coleman, Elfed Lewis, Thomas Newe, Satja Sivčev, Iman Abaspur Kazerouni, Colin Fitzpatrick, Dinesh Babu Duraibabu and Gabriel Leen. Their work appears in journals such as Sensors, IEEE Access, Remote Sensing, Electronics and Sensors and Actuators A Physical.

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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