Neil Keegan

2.3k citations
38 papers · 1.3k indexed · 1 hit paper · h-index 12

Neil Keegan

35 papers receiving 1.3k citations

Hit Papers

Digital technologies in the public-health response to COV...6932020202620222024200400600

Peers

Neil Keegan
Comparison fields: 5 of 154
  • Modeling and Simulation 137
  • Health Informatics 29
  • Information Systems 232
  • Biomedical Engineering 403
  • Applied Psychology 41
Replace Benjamin S. Miller with:
Benjamin S. Miller United Kingdom
Rachel A. McKendry United Kingdom
Lele Zhao China
Jobie Budd United Kingdom
Zisis Kozlakidis France
Deenan Pillay United Kingdom
Debrah I. Boeras United States
Andrew Ramsay United Kingdom
Liwei Jiang China
Mengdie Zhuang United Kingdom
Neil Keegan relative to Benjamin S. Miller United Kingdom Benjamin S. Miller's profile →
Citations per field
00.5×
Benjamin S. Miller · 1×
Citations per year

Countries citing papers authored by Neil Keegan

Since Specialization
Citations

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

Fields of papers citing papers by Neil Keegan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20244
3 20231
4 20231
5 202133
6
Digital technologies in the public-health response to COVID-19breakdown →
2020693
7 20189
8 20171
9 20173
10 2016135
11 201670
12 20120
13 201140
14 20109
15 20091
16 20080
17 20082
18 200510
19 200520
20 19964

About Neil Keegan

Neil Keegan is a scholar working on Bioengineering, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (10 papers), Mechanical and Optical Resonators (8 papers), Biosensors and Analytical Detection (8 papers), Acoustic Wave Resonator Technologies (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Analytical Chemistry and Sensors (5 papers), Graphene research and applications (4 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Modeling and Simulation (137 citations), Health Informatics (29 citations) and Information Systems (232 citations). Neil Keegan has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Vasileios Lampos, Dominique Heymann, Geraint Rees, Rachel A. McKendry, Michael Short, Jobie Budd, Vincent C. Emery, Mengdie Zhuang, Michael Edelstein and Benjamin S. Miller. Their work appears in journals such as Angewandte Chemie International Edition, Nature Medicine and Analytical Chemistry.

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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