Mariam Annan

703 citations
9 papers · 178 · h-index 6

Impact in

  • Neurology top 10%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neurosurgical Procedures and Complications
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Acute Ischemic Stroke Management 5
    • Amyotrophic Lateral Sclerosis Research 1
    • Traumatic Brain Injury and Neurovascular Disturbances 1

Mariam Annan

9 papers receiving 176 citations

Peers

Mariam Annan
Comparison fields: 5 of 26
  • Neurology 82
  • Internal Medicine 10
  • Epidemiology 77
  • Cellular and Molecular Neuroscience 26
  • Rehabilitation 8
Replace Enzo Fortuny with:
Enzo Fortuny United States
Zachary Bulwa United States
Kaiz Asif United States
Masataka Takeuchi Japan
Stefano Vallone Italy
Maramélia Miranda Brazil
Benedetto Petralia Italy
Pierre Thouant France
Jan W. Hoving Netherlands
Marco Pavia Italy
Mariam Annan relative to Enzo Fortuny United States Enzo Fortuny's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mariam Annan

Since Specialization
Citations

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

Fields of papers citing papers by Mariam Annan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201588
2 202335
3 201620
4 201511
5 201910
6 20135
7 20234
8 20213
9 20132

About Mariam Annan

Mariam Annan is a scholar working on Epidemiology, Neurology, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 178 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Breast Cancer Treatment Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Medical Image Segmentation Techniques (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Neurology (82 citations), Internal Medicine (10 citations), Epidemiology (77 citations), Cellular and Molecular Neuroscience (26 citations) and Rehabilitation (8 citations). Mariam Annan has collaborated with scholars based in France, Brazil and United States. Frequent co-authors include Karl Mondon, Caroline Hommet, Bertrand de Toffol, Jean‐Philippe Cottier, Séverine Debiais, Gaultier Marnat, Benjamin Gory, Vincent Costalat, Federico Di Maria and Grégoire Boulouis. Their work appears in journals such as Clinical Neurology and Neurosurgery, Annals of Oncology, International Journal of Stroke, Journal of Stroke and Cerebrovascular Diseases and Cerebrovascular Diseases Extra.

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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