Daniel Hill

1.4k citations
15 papers · 839 indexed · h-index 9

Impact in

    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
    • Photoreceptor and optogenetics research

Papers in

Daniel Hill

14 papers receiving 831 citations

Peers

Daniel Hill
Comparison fields: 5 of 87
  • Cognitive Neuroscience 566
  • Cellular and Molecular Neuroscience 519
  • Neurology 84
  • Sensory Systems 34
  • Ophthalmology 54
Replace Hamdy Shaban with:
Hamdy Shaban Switzerland
Tianmiao Hua China
Tobias Rose Germany
Satoshi Shimegi Japan
Casto Rivadulla Spain
Jokūbas Žiburkus United States
Alan Saul United States
Michal Rivlin‐Etzion Israel
Vincent Villette France
Susan C. Van Horn United States
Daniel Hill relative to Hamdy Shaban Switzerland Hamdy Shaban's profile →
Citations per field
00.5×1.5×2.3×
Hamdy Shaban · 1×
Citations per year

Countries citing papers authored by Daniel Hill

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011292
2 2011135
3 2011130
4 2012108
5 201357
6 202140
7 201928
8 202115
9 201514
10 20217
11 20205
12 20244
13 20223
14 20201
15 20220

About Daniel Hill

Daniel Hill is a scholar working on Ophthalmology, Neurology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Cognitive Neuroscience, having authored 15 papers that have together received 839 indexed citations. Recurring topics across this work include Retinal Development and Disorders (6 papers), Glaucoma and retinal disorders (5 papers), Neural dynamics and brain function (4 papers), Alzheimer's disease research and treatments (3 papers), Neuroscience and Neural Engineering (3 papers), Neuroscience and Neuropharmacology Research (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Cognitive Neuroscience (566 citations), Cellular and Molecular Neuroscience (519 citations), Neurology (84 citations), Sensory Systems (34 citations) and Ophthalmology (54 citations). Daniel Hill has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David Kleinfeld, Samar Mehta, Arthur Konnerth, Christine Grienberger, Nathalie L. Rochefort, Jeffrey D. Moore, John C. Curtis, Nima Marandi, Madoka Narushima and M. Francesca Cordeiro. Their work appears in journals such as Neuron, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Progress in Retinal and Eye Research, Pharmaceuticals and Journal of Neuroscience.

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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