Michael P. Milham

60.1k citations
250 papers · 34.5k indexed · 23 hit papers · h-index 93

Michael P. Milham

240 papers receiving 34.0k citations

Hit Papers

The Coronavirus Heal...17320062026201220194008001.2k

Peers

Michael P. Milham
Comparison fields: 5 of 194
  • Cognitive Neuroscience 28.2k
  • Psychiatry and Mental health 7.3k
  • Experimental and Cognitive Psychology 5.8k
  • Radiology, Nuclear Medicine and Imaging 9.0k
  • Neurology 1.5k
Replace Angela R. Laird with:
Angela R. Laird United States
Bradley L. Schlaggar United States
Lucina Q. Uddin United States
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Bernard Mazoyer France
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Michael P. Milham relative to Angela R. Laird United States Angela R. Laird's profile →
Citations per field
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Angela R. Laird · 1×
Citations per year

Countries citing papers authored by Michael P. Milham

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Milham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Milham. 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 Michael P. Milham. The network helps show where Michael P. Milham may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202418
2 20243
3 20240
4 20237
5 20234
6 202223
7 202210
8 20218
9 202132
10 20211
11
BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasetsbreakdown →
2020325
12 202096
13 201921
14
Atypical functional connectome hierarchy in autismbreakdown →
2019301
15 2019224
16 201768
17 201750
18 201773
19 201434
20 2013331

About Michael P. Milham

Michael P. Milham is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 250 papers that have together received 34.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (176 papers), Neural dynamics and brain function (77 papers), Advanced Neuroimaging Techniques and Applications (60 papers), Advanced MRI Techniques and Applications (38 papers), Neural and Behavioral Psychology Studies (32 papers), Attention Deficit Hyperactivity Disorder (31 papers), Mental Health Research Topics (30 papers) and EEG and Brain-Computer Interfaces (23 papers). The work is most often cited by research in Cognitive Neuroscience (28.2k citations), Psychiatry and Mental health (7.3k citations) and Experimental and Cognitive Psychology (5.8k citations). Michael P. Milham has collaborated with scholars based in United States, Canada and China. Frequent co-authors include F. Xavier Castellanos, Clare Kelly, Bharat B. Biswal, Adriana Di Martino, Xi‐Nian Zuo, Lucina Q. Uddin, Daniel S. Margulies, R. Cameron Craddock, Zarrar Shehzad and Marie T. Banich. Their work appears in journals such as NeuroImage, Biological Psychiatry, Cerebral Cortex, Journal of the American Academy of Child & Adolescent Psychiatry and Nature Communications.

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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