Gergely Dávid

1.2k citations
31 papers · 636 · h-index 13

Impact in

Papers in

Gergely Dávid

26 papers receiving 629 citations

Peers

Gergely Dávid
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 222
  • Radiology, Nuclear Medicine and Imaging 176
  • Developmental Biology 12
  • Cognitive Neuroscience 100
  • Developmental Neuroscience 19
Replace Can Zhao with:
Can Zhao China
Simon G. Ammanuel United States
Rahul Mohan United States
Tsunehiko Konomi Japan
Arthur B. Jenny United States
Kimika Yoshino‐Saito Japan
J.L. Story United States
Jennifer K. Brueckner United States
Francesca Sperli Italy
F Tabaraud France
Gergely Dávid relative to Can Zhao China Can Zhao's profile →
Citations per field
00.5×1.5×2.2×
Can Zhao · 1×
Citations per year

Countries citing papers authored by Gergely Dávid

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Dávid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 201479
3 201649
4 201845
5 201941
6 201737
7 202132
8 201929
9 201728
10 202124
11 201721
12 197820
13 202215
14 202110
15 20239
16 20218
17 20067
18 20227
19 20244
20 20243

About Gergely Dávid

Gergely Dávid is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pathology and Forensic Medicine, Biomedical Engineering and Cognitive Neuroscience, having authored 31 papers that have together received 636 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (8 papers), Cervical and Thoracic Myelopathy (7 papers), Spinal Cord Injury Research (5 papers), Medical Imaging and Analysis (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (222 citations), Radiology, Nuclear Medicine and Imaging (176 citations), Developmental Biology (12 citations), Cognitive Neuroscience (100 citations) and Developmental Neuroscience (19 citations). Gergely Dávid has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Patrick Freund, Siawoosh Mohammadi, Nikolaus Weiskopf, Alan J. Thompson, Julien Cohen‐Adad, Allan R. Martin, Armin Curt, Eveline Huber, Maryam Seif and María Luisa Scattoni. Their work appears in journals such as Journal of Neurotrauma, Neurology, Cerebral Cortex, Scientific Reports and Magnetic Resonance in Medicine.

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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