Amanda Lans

661 citations
25 papers · 422 indexed · h-index 10

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Surgical Simulation and Training
    • Spinal Fractures and Fixation Techniques

Papers in

Amanda Lans

25 papers receiving 420 citations

Peers

Amanda Lans
Comparison fields: 5 of 80
  • Health Informatics 60
  • Surgery 225
  • Issues, ethics and legal aspects 5
  • Immunology and Allergy 24
  • Pathology and Forensic Medicine 66
Replace Qai Ven Yap with:
Qai Ven Yap Singapore
Andrew S. Zhang United States
Stephen M. Engstrom United States
Marius M. Scarlat France
Gregory G. Polkowski United States
Michiel E. R. Bongers United States
Rohun Gupta United States
Gamaliel Tan Singapore
Joseph E. Manzi United States
Johnathan R. Lex Canada
Amanda Lans relative to Qai Ven Yap Singapore Qai Ven Yap's profile →
Citations per field
00.5×10×15×20×23×
Qai Ven Yap · 1×
Citations per year

Countries citing papers authored by Amanda Lans

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Lans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20237
4 20237
5 20235
6 20239
7 20226
8 202213
9 202219
10 20222
11 20224
12 202220
13 202210
14 202219
15 2021137
16 202111
17 202031
18 20205
19 20163
20 19865

About Amanda Lans

Amanda Lans is a scholar working on Health Informatics, Health, Family Practice, General Health Professions and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 422 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (7 papers), Artificial Intelligence in Healthcare and Education (5 papers), Spinal Fractures and Fixation Techniques (5 papers), Medical Imaging and Analysis (4 papers), Mobile Health and mHealth Applications (4 papers), Social Media in Health Education (4 papers), Healthcare cost, quality, practices (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Health Informatics (60 citations), Surgery (225 citations), Issues, ethics and legal aspects (5 citations), Immunology and Allergy (24 citations) and Pathology and Forensic Medicine (66 citations). Amanda Lans has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Joseph H. Schwab, Jacobien H. F. Oosterhoff, Mitchell S. Fourman, Jorrit‐Jan Verlaan, Hamid Ghaednia, Hidde Dijkstra, Daniel G. Tobert, Olivier Q. Groot, Aditya V. Karhade and Paul T. Ogink. Their work appears in journals such as The Spine Journal, Journal of Evaluation in Clinical Practice, Artificial Intelligence in Medicine, Spine and Global Spine Journal.

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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