Allison S. Kanakis

1.1k citations
20 papers · 892 · h-index 15

Impact in

  • Neurology top 5%
    • Cerebrovascular and genetic disorders
    • Intracerebral and Subarachnoid Hemorrhage Research
  • Epidemiology top 10%
    • Acute Ischemic Stroke Management

Papers in

Allison S. Kanakis

20 papers receiving 881 citations

Peers

Allison S. Kanakis
Comparison fields: 5 of 41
  • Neurology 277
  • Epidemiology 126
  • Rehabilitation 14
  • Neurology 14
  • Computer Vision and Pattern Recognition 42
Replace Kaitlin M. Fitzpatrick with:
Kaitlin M. Fitzpatrick United States
Lisa K. Cloonan United States
Chia‐Ling Phuah United States
Fei‐Fei Zhai China
Iris L.H. Knottnerus Netherlands
Erhard Trillingsgaard Næss‐Schmidt Denmark
Jan Krásenský Czechia
Simone M. Gregoire United Kingdom
Yazan J. Alderazi United States
Alexander Pichler Austria
Allison S. Kanakis relative to Kaitlin M. Fitzpatrick United States Kaitlin M. Fitzpatrick's profile →
Citations per field
00.5×1.6×
Kaitlin M. Fitzpatrick · 1×
Citations per year

Countries citing papers authored by Allison S. Kanakis

Since Specialization
Citations

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

Fields of papers citing papers by Allison S. Kanakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison S. Kanakis. 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 Allison S. Kanakis. The network helps show where Allison S. Kanakis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015136
2 2010133
3 2010113
4 201589
5 201746
6 201645
7 201043
8 201242
9 201339
10 201534
11 201032
12 201425
13 201419
14 202119
15 201518
16 201315
17 201414
18 201714
19 202014
20 20162

About Allison S. Kanakis

Allison S. Kanakis is a scholar working on Neurology, Epidemiology, Computer Vision and Pattern Recognition, Orthopedics and Sports Medicine and Physiology, having authored 20 papers that have together received 892 indexed citations. Recurring topics across this work include Cerebrovascular and genetic disorders (8 papers), Acute Ischemic Stroke Management (4 papers), Medical Image Segmentation Techniques (2 papers), Bone health and osteoporosis research (1 paper), Lysosomal Storage Disorders Research (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Neurology (277 citations), Epidemiology (126 citations), Rehabilitation (14 citations), Neurology (14 citations) and Computer Vision and Pattern Recognition (42 citations). Allison S. Kanakis has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Natalia S. Rost, Karen L. Furie, Kaitlin M. Fitzpatrick, Jonathan M. Rosand, Lisa K. Cloonan, Alessandro Biffi, Ona Wu, Rosanna M. A. Rahman, Pedro Cougo and Steven J. T. Mocking. Their work appears in journals such as Stroke, Neurology, Journal of Stroke and Cerebrovascular Diseases, Pancreatology and Journal of Neuroimaging.

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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