M Fitzsimons

1.3k citations
80 papers · 865 · h-index 19

Impact in

Papers in

M Fitzsimons

70 papers receiving 836 citations

Peers

M Fitzsimons
Comparison fields: 5 of 101
  • Psychiatry and Mental health 350
  • Cognitive Neuroscience 186
  • Pediatrics, Perinatology and Child Health 102
  • Health Information Management 25
  • Health Informatics 5
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Ariana Anderson United States
Daniel B. Hoch United States
Andrea M. Schultz United States
Devasuda Anblagan United Kingdom
Alice Lam United States
Perumpillichira J. Cherian Netherlands
Abigail Flower United States
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Citations per field
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Citations per year

Countries citing papers authored by M Fitzsimons

Since Specialization
Citations

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

Fields of papers citing papers by M Fitzsimons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201251
2 200151
3 201142
4 201335
5 201333
6 200033
7 201231
8 202031
9 201030
10 201529
11 201029
12 201126
13 200625
14 202024
15 201023
16 200721
17 199919
18 201019
19 200919
20 202017

About M Fitzsimons

M Fitzsimons is a scholar working on Psychiatry and Mental health, Public Health, Environmental and Occupational Health, Cognitive Neuroscience, Health Information Management and Genetics, having authored 80 papers that have together received 865 indexed citations. Recurring topics across this work include Epilepsy research and treatment (17 papers), Telemedicine and Telehealth Implementation (5 papers), Electronic Health Records Systems (5 papers), Genomics and Rare Diseases (4 papers), Healthcare Systems and Technology (3 papers), EEG and Brain-Computer Interfaces (3 papers), Palliative Care and End-of-Life Issues (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Psychiatry and Mental health (350 citations), Cognitive Neuroscience (186 citations), Pediatrics, Perinatology and Child Health (102 citations), Health Information Management (25 citations) and Health Informatics (5 citations). M Fitzsimons has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Colin P. Doherty, Norman Delanty, Hugh Staunton, Lisa Ronan, Saud Alhusaini, Cathy Scanlon, Charles Normand, Gianpiero L. Cavalleri, Sinead Maguire and N Delanty. Their work appears in journals such as Epilepsy & Behavior, Epilepsia, Seizure, The Review of Politics and Magnetic Resonance Imaging.

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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