Robert Gramer

1.4k citations
31 papers · 946 · 1 hit paper · h-index 17

Impact in

  • Neurology top 5%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Transcranial Magnetic Stimulation Studies
    • Pain Management and Treatment

Papers in

    • Neurological disorders and treatments 15
    • Parkinson's Disease Mechanisms and Treatments 4
    • Traumatic Brain Injury and Neurovascular Disturbances 4
    • Intracranial Aneurysms: Treatment and Complications 2
    • Genetic Neurodegenerative Diseases 3
    • Neuroscience and Neural Engineering 2

Robert Gramer

30 papers receiving 939 citations

Robert Gramer's Hit Papers

Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning 2021 · 217 citations
2170+1+3Years since publication50100150200

Peers

Robert Gramer
Comparison fields: 5 of 80
  • Neurology 516
  • Neurology 103
  • Anesthesiology and Pain Medicine 64
  • Cellular and Molecular Neuroscience 175
  • Cognitive Neuroscience 162
Replace Jeffrey E. Arle with:
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Sara Rinaldo Italy
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Monica M. Volz United States
Robert Gramer relative to Jeffrey E. Arle United States Jeffrey E. Arle's profile →
Citations per field
00.5×2×3×4.2×
Jeffrey E. Arle · 1×
Citations per year

Countries citing papers authored by Robert Gramer

Since Specialization
Citations

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

Fields of papers citing papers by Robert Gramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Gramer, 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 Robert Gramer Line = papers co-authored together Robert Gramer 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
Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning
Hit paper breakdown →
2021217
2 202090
3 201987
4 201570
5 201958
6 202038
7 202033
8 201833
9 201530
10 201929
11 201927
12 201626
13 202126
14 201920
15 202018
16 201918
17 201317
18 202217
19 202015
20 201915

About Robert Gramer

Robert Gramer is a scholar working on Neurology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience, having authored 31 papers that have together received 946 indexed citations. Recurring topics across this work include Neurological disorders and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Functional Brain Connectivity Studies (3 papers), Genetic Neurodegenerative Diseases (3 papers), Neuroscience and Neural Engineering (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Neurology (516 citations), Neurology (103 citations), Anesthesiology and Pain Medicine (64 citations), Cellular and Molecular Neuroscience (175 citations) and Cognitive Neuroscience (162 citations). Robert Gramer has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Andrés M. Lozano, Gavin J.B. Elias, Alexandre Boutet, Jürgen Germann, Alfonso Fasano, Walter Kucharczyk, Suresh E. Joel, Suneil Kumar Kalia, Aaron Loh and Steve Cramer. Their work appears in journals such as Journal of neurosurgery, Journal of Neurotrauma, Neurosurgery, Translational Stroke Research and World Neurosurgery.

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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