Daniel Andersen

482 citations
16 papers · 339 · h-index 10

Impact in

Papers in

Daniel Andersen

16 papers receiving 333 citations

Peers

Daniel Andersen
Comparison fields: 5 of 56
  • Human-Computer Interaction 85
  • Computer Vision and Pattern Recognition 182
  • Health Informatics 10
  • Surgery 169
  • Geology 11
Replace Michael K. Southworth with:
Michael K. Southworth United States
Wee Sim Khor United Kingdom
Florentine Huettl Germany
Oscar Meruvia-Pastor Canada
Puxun Tu China
Hayeem L. Rudy United States
Rosanna Maria Viglialoro Italy
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Javad Fotouhi United States
Woo Jin Ahn South Korea
Daniel Andersen relative to Michael K. Southworth United States Michael K. Southworth's profile →
Citations per field
00.5×2.7×
Michael K. Southworth · 1×
Citations per year

Countries citing papers authored by Daniel Andersen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Andersen, 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 Daniel Andersen Line = papers co-authored together Daniel Andersen links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201666
2 202052
3 201843
4 202037
5 201528
6 201822
7 201818
8 201914
9
Avoiding Focus Shifts in Surgical Telementoring Using an Augmented Reality Transparent Display.
201613
10 20219
11 20209
12 20167
13 20186
14 20206
15 20185
16 20204

About Daniel Andersen

Daniel Andersen is a scholar working on Computer Vision and Pattern Recognition, Surgery, Human-Computer Interaction, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 339 indexed citations. Recurring topics across this work include Surgical Simulation and Training (9 papers), Augmented Reality Applications (8 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Vision and Imaging (3 papers), Interactive and Immersive Displays (2 papers), Anatomy and Medical Technology (2 papers), Virtual Reality Applications and Impacts (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (85 citations), Computer Vision and Pattern Recognition (182 citations), Health Informatics (10 citations), Surgery (169 citations) and Geology (11 citations). Daniel Andersen has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Voicu Popescu, Juan Wachs, Brian Mullis, Edgar Rojas-Muñoz, María Eugenia Cabrera, Ben L. Zarzaur, María Eugenia Cabrera, Chengyuan Lin, Gerardo A. Gómez and Kathryn Anderson. Their work appears in journals such as Surgery, npj Digital Medicine, The Visual Computer, IEEE Transactions on Visualization and Computer Graphics and Annals of 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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