N. Hageman

834 citations
17 papers · 637 · h-index 10

Impact in

Papers in

N. Hageman

15 papers receiving 624 citations

Peers

N. Hageman
Comparison fields: 5 of 79
  • Computational Mathematics 10
  • Radiology, Nuclear Medicine and Imaging 313
  • Cognitive Neuroscience 182
  • Immunology 95
  • Pediatrics, Perinatology and Child Health 73
Replace Anna Gasparini with:
Anna Gasparini Italy
Samuel Groeschel Germany
Jonathan C. Lau Canada
Juan A. Guzmán‐De‐Villoria Spain
Vinzenz Fleischer Germany
J.-C. Froment France
Pim Pullens Belgium
Joni A. Turunen Finland
Soe Mar United States
N. Hageman relative to Anna Gasparini Italy Anna Gasparini's profile →
Citations per field
00.5×10×
Anna Gasparini · 1×
Citations per year

Countries citing papers authored by N. Hageman

Since Specialization
Citations

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

Fields of papers citing papers by N. Hageman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2000139
2 2011117
3 2004111
4 200868
5 200656
6 200943
7 200838
8 200824
9 200914
10 201810
11 20068
12 20156
13 20191
14 20131
15 20101
16 20250
17 20240

About N. Hageman

N. Hageman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Psychiatry and Mental health and Genetics, having authored 17 papers that have together received 637 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (11 papers), Fetal and Pediatric Neurological Disorders (4 papers), Functional Brain Connectivity Studies (3 papers), Advanced MRI Techniques and Applications (2 papers), Cerebral Palsy and Movement Disorders (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Computational Mathematics (10 citations), Radiology, Nuclear Medicine and Imaging (313 citations), Cognitive Neuroscience (182 citations), Immunology (95 citations) and Pediatrics, Perinatology and Child Health (73 citations). N. Hageman has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Arthur W. Toga, Katherine L. Narr, Runqing Lu, Wei-Chun Au, Paula M. Pitha, Wen-Shuz Yeow, Owen R. Phillips, Robert F. Asarnow, Liberty S. Hamilton and Keith H. Nuechterlein. Their work appears in journals such as The FASEB Journal, Psychiatry Research Neuroimaging, Neuromuscular Disorders, IEEE Transactions on Medical Imaging and Journal of Biological Chemistry.

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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