S Bann

1.5k citations
20 papers · 1.2k · h-index 13

Impact in

Papers in

S Bann

20 papers receiving 1.2k citations

Peers

S Bann
Comparison fields: 5 of 89
  • Surgery 791
  • Cardiology and Cardiovascular Medicine 196
  • Computer Vision and Pattern Recognition 119
  • Biomedical Engineering 250
  • Human-Computer Interaction 27
Replace Aristotelis Dosis with:
Aristotelis Dosis United Kingdom
Vivek Datta United Kingdom
Jørgen Bendix Denmark
Patricia C. Bergen United States
Gina Adrales United States
E. G. G. Verdaasdonk Netherlands
Seifu T. Tesfay United States
Keith N. Apelgren United States
R. M. Satava United States
Elizabeth C. Hamilton United States
S Bann relative to Aristotelis Dosis United Kingdom Aristotelis Dosis's profile →
Citations per field
00.5×1.5×2.1×
Aristotelis Dosis · 1×
Citations per year

Countries citing papers authored by S Bann

Since Specialization
Citations

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

Fields of papers citing papers by S Bann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2004283
2 2002147
3 2004138
4 2004136
5 2003120
6 200373
7 200466
8 200362
9 200639
10 200334
11 200334
12 199729
13 200717
14 200312
15 200210
16 20057
17 20065
18 20025
19 20022
20 20021

About S Bann

S Bann is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Pulmonary and Respiratory Medicine and General Health Professions, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Surgical Simulation and Training (13 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Anatomy and Medical Technology (2 papers), Surgical Sutures and Adhesives (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Body Composition Measurement Techniques (1 paper), Aortic aneurysm repair treatments (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Surgery (791 citations), Cardiology and Cardiovascular Medicine (196 citations), Computer Vision and Pattern Recognition (119 citations), Biomedical Engineering (250 citations) and Human-Computer Interaction (27 citations). S Bann has collaborated with scholars based in United Kingdom, Hong Kong and South Africa. Frequent co-authors include Ara Darzi, Krishna Moorthy, Yaron Munz, Aristotelis Dosis, Mark Brooks, S Sarin, Juan David Hernández, Timothy Rockall, S. Martin and Fernando Bello. Their work appears in journals such as British journal of surgery, Surgical Endoscopy, Medical Education, Respiration and Plastic & Reconstructive Surgery.

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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