Daniel Moyer

908 citations
35 papers · 196 indexed · h-index 10

Impact in

Papers in

Daniel Moyer

22 papers receiving 194 citations

Peers

Daniel Moyer
Comparison fields: 5 of 83
  • Computational Mathematics 3
  • Radiology, Nuclear Medicine and Imaging 67
  • Cognitive Neuroscience 49
  • Computer Vision and Pattern Recognition 35
  • Artificial Intelligence 54
Replace Tabinda Sarwar with:
Tabinda Sarwar Australia
Ramón Aranda Mexico
Ning Situ United States
Jelena Božek Croatia
Byungkon Kang South Korea
Catherine Jayapandian United States
Oeslle Lucena United Kingdom
Hejie Cui United States
Biao Cai United States
Sarah Keefe United States
Daniel Moyer relative to Tabinda Sarwar Australia Tabinda Sarwar's profile →
Citations per field
00.5×1.5×
Tabinda Sarwar · 1×
Citations per year

Countries citing papers authored by Daniel Moyer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Moyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202337
2
Invariant Representations without Adversarial Training
201822
3 201320
4 202216
5 201615
6 202114
7 202313
8 201712
9 201510
10 20189
11 20215
12 20164
13 20214
14 20203
15 20243
16 20242
17 20182
18 20241
19 20241
20 20241

About Daniel Moyer

Daniel Moyer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Modeling and Simulation, having authored 35 papers that have together received 196 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (12 papers), Functional Brain Connectivity Studies (7 papers), Total Knee Arthroplasty Outcomes (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), MRI in cancer diagnosis (3 papers), Orthopaedic implants and arthroplasty (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Computational Mathematics (3 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Cognitive Neuroscience (49 citations), Computer Vision and Pattern Recognition (35 citations) and Artificial Intelligence (54 citations). Daniel Moyer has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Polina Golland, Elfar Adalsteinsson, Juan Eugenio Iglesias, Junshen Xu, Greg Ver Steeg, Paul M. Thompson, P. Ellen Grant, Borjan Gagoski, Joshua Faskowitz and Boris A. Gutman. Their work appears in journals such as The Journal of Arthroplasty, IEEE Transactions on Medical Imaging, International Journal of Computer Assisted Radiology and Surgery, Brain Connectivity and IEEE Robotics and Automation Letters.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026