Michael Fine

1.0k citations
36 papers · 649 indexed · h-index 15

Impact in

Papers in

Michael Fine

34 papers receiving 612 citations

Peers

Michael Fine
Comparison fields: 5 of 100
  • Cognitive Neuroscience 236
  • Physical Therapy, Sports Therapy and Rehabilitation 43
  • Neurology 130
  • Social Psychology 99
  • Human-Computer Interaction 24
Replace Alessandro Castriota-Scanderbeg with:
Alessandro Castriota-Scanderbeg Italy
Giovanna Pari Canada
Qing Yang China
Eleni Papageorgiou Greece
Izumi Koizuka Japan
David A. Nicolle Canada
Günther Grabner Austria
André Messias Brazil
Timo Hirvonen Finland
Yaniv Barkana Israel
Michael Fine relative to Alessandro Castriota-Scanderbeg Italy Alessandro Castriota-Scanderbeg's profile →
Citations per field
00.5×3.9×
Alessandro Castriota-Scanderbeg · 1×
Citations per year

Countries citing papers authored by Michael Fine

Since Specialization
Citations

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

Fields of papers citing papers by Michael Fine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20212
2 20203
3 201947
4 20167
5 201310
6 200976
7 200927
8 200789
9 200719
10 200671
11 199230
12
Postoperative cervical pseudomeningocele.
199010
13 19903
14 19856
15 198314
16 19833
17
Postischemic hypervascularity of the infant brain: differential diagnosis on computed tomography.
19822
18 19798
19
Interhemispheric subdural hematoma.
197822
20 19773

About Michael Fine

Michael Fine is a scholar working on Neurology, Cognitive Neuroscience, Genetics, Human-Computer Interaction and Emergency Medicine, having authored 36 papers that have together received 649 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Meningioma and schwannoma management (4 papers), Advanced MRI Techniques and Applications (4 papers), Glioma Diagnosis and Treatment (3 papers), Brain Metastases and Treatment (3 papers), Traumatic Brain Injury Research (3 papers), Action Observation and Synchronization (3 papers) and Motor Control and Adaptation (3 papers). The work is most often cited by research in Cognitive Neuroscience (236 citations), Physical Therapy, Sports Therapy and Rehabilitation (43 citations), Neurology (130 citations), Social Psychology (99 citations) and Human-Computer Interaction (24 citations). Michael Fine has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kurt A. Thoroughman, Brandon S. Minnery, Behrooz Azar‐Kia, Mohammad H. Naheedy, Enrique Palacios, Harry L. Messmore, GSRSNK Naidu, Michael P. Merchut, Mahmood F. Mafee and Paul W. Brazis. Their work appears in journals such as American Journal of Neuroradiology, Neuroradiology, Journal of Neurophysiology, Journal of Computer Assisted Tomography and Scientific Reports.

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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