Julia M. Stephen

7.1k citations
194 papers · 3.7k indexed · h-index 34

Impact in

Papers in

Julia M. Stephen

186 papers receiving 3.7k citations

Peers

Julia M. Stephen
Comparison fields: 5 of 143
  • Cognitive Neuroscience 2.6k
  • Computational Mathematics 25
  • Radiology, Nuclear Medicine and Imaging 855
  • Experimental and Cognitive Psychology 464
  • Pediatrics, Perinatology and Child Health 522
Replace Alard Roebroeck with:
Alard Roebroeck Netherlands
Marc Tittgemeyer Germany
Brian Patenaude United States
Ludovico Minati Italy
Allen W. Song United States
Vesa Kiviniemi Finland
Hong Gu United States
Lilla Zöllei United States
Shella Keilholz United States
Julia M. Stephen relative to Alard Roebroeck Netherlands Alard Roebroeck's profile →
Citations per field
00.5×1.5×2.1×
Alard Roebroeck · 1×
Citations per year

Countries citing papers authored by Julia M. Stephen

Since Specialization
Citations

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

Fields of papers citing papers by Julia M. Stephen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia M. Stephen. 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 Julia M. Stephen. The network helps show where Julia M. Stephen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20242
4 20231
5 20234
6 20235
7 20231
8 202313
9 202214
10 20224
11 20225
12 20223
13 20229
14 20217
15 202140
16 202038
17 20208
18 20199
19 201885
20 201825

About Julia M. Stephen

Julia M. Stephen is a scholar working on Cognitive Neuroscience, Computational Mathematics, Behavioral Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 194 papers that have together received 3.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (96 papers), Neural dynamics and brain function (60 papers), Advanced Neuroimaging Techniques and Applications (34 papers), Prenatal Substance Exposure Effects (32 papers), Advanced MRI Techniques and Applications (29 papers), EEG and Brain-Computer Interfaces (29 papers), Neonatal and fetal brain pathology (21 papers) and Neural and Behavioral Psychology Studies (18 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Computational Mathematics (25 citations), Radiology, Nuclear Medicine and Imaging (855 citations), Experimental and Cognitive Psychology (464 citations) and Pediatrics, Perinatology and Child Health (522 citations). Julia M. Stephen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Vince D. Calhoun, Tony W. Wilson, Yu‐Ping Wang, Cheryl J. Aine, Andrew R. Mayer, Juan Bustillo, John C. Adair, Janice E. Knoefel, Elizabeth Heinrichs‐Graham and Brian A. Coffman. Their work appears in journals such as NeuroImage, Human Brain Mapping, Developmental Cognitive Neuroscience, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

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