Robert O’Neill

5.5k citations
152 papers · 4.5k · h-index 40

Impact in

Papers in

Robert O’Neill

143 papers receiving 4.3k citations

Peers

Robert O’Neill
Comparison fields: 5 of 175
  • Electrochemistry 1.8k
  • Bioengineering 1.0k
  • Polymers and Plastics 1.2k
  • Cellular and Molecular Neuroscience 1.3k
  • Electrical and Electronic Engineering 2.6k
Replace Adrian C. Michael with:
Adrian C. Michael United States
John Lowry Ireland
Ralph N. Adams United States
Leslie A. Sombers United States
Pier Andrea Serra Italy
Marco Giorgetti Italy
Fwu‐Shan Sheu Singapore
Gaia Rocchitta Italy
Jian Luo China
Edmond F. Bowden United States
Robert O’Neill relative to Adrian C. Michael United States Adrian C. Michael's profile →
Citations per field
00.5×1.5×
Adrian C. Michael · 1×
Citations per year

Countries citing papers authored by Robert O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Robert O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert O’Neill. 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 Robert O’Neill. The network helps show where Robert O’Neill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994255
2 1994167
3 1988124
4 1982115
5 2004109
6 1997103
7 1984102
8 199887
9 200287
10 200287
11 199886
12 199884
13 200778
14 201376
15 198575
16 200870
17 199467
18 200667
19 201365
20 200764

About Robert O’Neill

Robert O’Neill is a scholar working on Electrical and Electronic Engineering, Electrochemistry, Polymers and Plastics, Cellular and Molecular Neuroscience and Media Technology, having authored 152 papers that have together received 4.5k indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (66 papers), Electrochemical Analysis and Applications (60 papers), Conducting polymers and applications (39 papers), Analytical Chemistry and Sensors (20 papers), Neuroscience and Neuropharmacology Research (18 papers), Engineering Education and Curriculum Development (17 papers), Neuroscience and Neural Engineering (16 papers) and Engineering Education and Pedagogy (14 papers). The work is most often cited by research in Electrochemistry (1.8k citations), Bioengineering (1.0k citations), Polymers and Plastics (1.2k citations), Cellular and Molecular Neuroscience (1.3k citations) and Electrical and Electronic Engineering (2.6k citations). Robert O’Neill has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include John Lowry, Marianne Fillenz, Sarah J. Killoran, W. John Albery, Pier Andrea Serra, Gaia Rocchitta, Colm P. McMahon, José Luis González–Mora, Richard A. Grünewald and Martyn G. Boutelle. Their work appears in journals such as The Analyst, Analytical Chemistry, Sensors, Journal of Neurochemistry and Neuroscience.

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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