John F. Connolly

10.8k total citations · 1 hit paper
216 papers, 7.9k citations indexed

About

John F. Connolly is a scholar working on Cognitive Neuroscience, Epidemiology and Surgery. According to data from OpenAlex, John F. Connolly has authored 216 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Cognitive Neuroscience, 55 papers in Epidemiology and 33 papers in Surgery. Recurrent topics in John F. Connolly's work include Neurobiology of Language and Bilingualism (36 papers), Bone fractures and treatments (31 papers) and EEG and Brain-Computer Interfaces (27 papers). John F. Connolly is often cited by papers focused on Neurobiology of Language and Bilingualism (36 papers), Bone fractures and treatments (31 papers) and EEG and Brain-Computer Interfaces (27 papers). John F. Connolly collaborates with scholars based in Canada, United States and United Kingdom. John F. Connolly's co-authors include Natalie A. Phillips, Ryan C.N. D’Arcy, J J Tiedeman, John Gruzelier, Robert Dehne, Elisabet Service, Catherine Fischer, Robert J. Barry, Ivar Reinvang and John Polich and has published in prestigious journals such as JAMA, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

John F. Connolly

209 papers receiving 7.5k citations

Hit Papers

Event-related potentials ... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John F. Connolly Canada 47 3.8k 1.3k 1.3k 1.1k 1.1k 216 7.9k
E. Jeffrey Metter United States 71 2.4k 0.6× 798 0.6× 603 0.5× 483 0.4× 1.0k 0.9× 203 17.6k
Paul Van de Heyning Belgium 73 8.5k 2.3× 572 0.5× 696 0.6× 2.4k 2.1× 1.2k 1.1× 643 23.5k
Thomas A. Hammeke United States 52 7.4k 2.0× 3.4k 2.7× 1.3k 1.0× 983 0.9× 395 0.4× 115 12.7k
Stefan Knecht Germany 61 7.4k 2.0× 634 0.5× 1.3k 1.1× 925 0.8× 428 0.4× 210 13.8k
Adrian P. Crawley Canada 57 4.7k 1.3× 826 0.7× 333 0.3× 895 0.8× 529 0.5× 150 10.6k
Simon J. Graham Canada 50 4.1k 1.1× 1.1k 0.9× 412 0.3× 984 0.9× 241 0.2× 216 10.2k
Helmuth Steinmetz Germany 73 6.9k 1.8× 2.9k 2.3× 1.2k 0.9× 931 0.8× 692 0.6× 288 16.5k
John Hart United States 48 4.0k 1.1× 1.5k 1.1× 777 0.6× 933 0.8× 334 0.3× 221 8.3k
Michael P. Alexander United States 66 7.5k 2.0× 2.4k 1.9× 1.6k 1.2× 1.5k 1.3× 677 0.6× 217 13.7k
Gary F. Egan Australia 72 5.3k 1.4× 691 0.5× 478 0.4× 893 0.8× 246 0.2× 362 14.7k

Countries citing papers authored by John F. Connolly

Since Specialization
Citations

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

Fields of papers citing papers by John F. Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Connolly. 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 John F. Connolly. The network helps show where John F. Connolly may publish in the future.

Co-authorship network of co-authors of John F. Connolly

This figure shows the co-authorship network connecting the top 25 collaborators of John F. Connolly. A scholar is included among the top collaborators of John F. Connolly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John F. Connolly. John F. Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Blain‐Moraes, Stefanie, et al.. (2021). Eliciting and Recording Event Related Potentials (ERPs) in Behaviourally Unresponsive Populations: A Retrospective Commentary on Critical Factors. Brain Sciences. 11(7). 835–835. 2 indexed citations
3.
Dhindsa, Kiret, et al.. (2020). On the time-course of functional connectivity: theory of a dynamic progression of concussion effects. Brain Communications. 2(2). fcaa063–fcaa063. 11 indexed citations
4.
Dhindsa, Kiret, Ranil Sonnadara, Reza Samavi, et al.. (2019). From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(7). 1492–1501. 20 indexed citations
5.
DeMatteo, Carol, et al.. (2019). Neurophysiological Correlates of Concussion: Deep Learning for Clinical Assessment. Scientific Reports. 9(1). 17341–17341. 17 indexed citations
6.
Connolly, John F., J.P. Reilly, Alison Fox‐Robichaud, et al.. (2019). Development of a point of care system for automated coma prognosis: a prospective cohort study protocol. BMJ Open. 9(7). e029621–e029621. 5 indexed citations
7.
Connolly, John F., et al.. (2018). A framework for the extended monitoring of levels of cognitive function in unresponsive patients. PLoS ONE. 13(7). e0200793–e0200793. 4 indexed citations
8.
Armanfard, Narges, Majid Komeili, J.P. Reilly, & John F. Connolly. (2018). A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction. IEEE Journal of Biomedical and Health Informatics. 23(4). 1794–1804. 19 indexed citations
9.
Noseworthy, Michael D., et al.. (2017). Fractal Analysis of Brain Blood Oxygenation Level Dependent (BOLD) Signals from Children with Mild Traumatic Brain Injury (mTBI). PLoS ONE. 12(1). e0169647–e0169647. 16 indexed citations
10.
Connolly, John F.. (2013). The Lifesaving Foundation. International Journal of Aquatic Research and Education. 7(4). 1 indexed citations
11.
Connolly, John F., et al.. (2012). Future trends in the biology of language. 3 indexed citations
12.
Brophy, Caroline, et al.. (2011). A Baseline Category Logit Model for Assessing Competing Strains of Rhizobium Bacteria. Journal of Agricultural Biological and Environmental Statistics. 16(3). 409–421. 3 indexed citations
13.
D’Arcy, Ryan C.N., John F. Connolly, Elisabet Service, Colin Hawco, & Michael Houlihan. (2004). Separating phonological and semantic processing in auditory sentence processing: A high‐resolution event‐related brain potential study. Human Brain Mapping. 22(1). 40–51. 72 indexed citations
14.
Young, G. Bryan, et al.. (2004). Prognostic Value of Evoked Responses and Event-Related Brain Potentials in. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 31(4). 438–450. 27 indexed citations
15.
Connolly, John F.. (1991). Tibial nonunion : diagnosis and treatment. 3 indexed citations
16.
Duwelius, Paul J. & John F. Connolly. (1988). Closed Reduction of Tibial Plateau Fractures. Clinical Orthopaedics and Related Research. 230. 116–126. 46 indexed citations
17.
Connolly, John F., et al.. (1985). Torus fracture of the distal radius producing growth arrest.. PubMed. 70(6). 204–7. 3 indexed citations
18.
Jardon, O M, et al.. (1981). Multiple metachronous osteosarcoma with eleven-year survival. A case report.. Journal of Bone and Joint Surgery. 63(2). 317–322. 8 indexed citations
19.
Shaw, David, et al.. (1980). Assessment of healing of long-bone fractures by intraosseous venography.. Radiology. 137(1). 53–56. 5 indexed citations
20.
Connolly, John F., et al.. (1973). Closed Reduction and Early Cast-Brace Ambulation in the Treatment of Femoral Fractures. Journal of Bone and Joint Surgery. 55(8). 1581–1599. 29 indexed citations

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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