Daniel H. Baker

4.4k citations
130 papers · 3.1k indexed · 1 hit paper · h-index 28

Daniel H. Baker

122 papers receiving 3.0k citations

Hit Papers

The Architectural Organization of a Mobile Radio Network ...5401981202619962011100200300400500

Peers

Daniel H. Baker
Comparison fields: 5 of 110
  • Cognitive Neuroscience 1.9k
  • Ophthalmology 482
  • Computer Networks and Communications 539
  • Epidemiology 813
  • Sensory Systems 72
Replace Lawrence Stark with:
Lawrence Stark United States
Robert P. O’Shea Australia
Ennio Mingolla United States
George K. Hung United States
Douglas Tweed Canada
Norberto M. Grzywacz United States
Yoshihiro Miyake Japan
Robert M. Steinman United States
Bertram E. Shi Hong Kong
Juno Kim Australia
Daniel H. Baker relative to Lawrence Stark United States Lawrence Stark's profile →
Citations per field
00.5×10×17.4×
Lawrence Stark · 1×
Citations per year

Countries citing papers authored by Daniel H. Baker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 20230
4 20234
5 20230
6 20223
7 20216
8 20212
9 20204
10 20204
11 20204
12 201813
13 201828
14 20187
15 201813
16 201848
17 201712
18 20176
19 201617
20 20131

About Daniel H. Baker

Daniel H. Baker is a scholar working on Cognitive Neuroscience, Ophthalmology, Energy Engineering and Power Technology, Sensory Systems and Media Technology, having authored 130 papers that have together received 3.1k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (81 papers), Neural dynamics and brain function (38 papers), Ophthalmology and Visual Impairment Studies (22 papers), Color Science and Applications (17 papers), Face Recognition and Perception (11 papers), Glaucoma and retinal disorders (9 papers), Retinal Development and Disorders (9 papers) and Visual Attention and Saliency Detection (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Ophthalmology (482 citations), Computer Networks and Communications (539 citations), Epidemiology (813 citations) and Sensory Systems (72 citations). Daniel H. Baker has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Tim S. Meese, Anthony Ephremides, Robert F. Hess, Mark A. Georgeson, Erich W. Graf, Benjamin Thompson, Behzad Mansouri, Robert J. Summers, E.V. Larsen and Alex R. Wade. Their work appears in journals such as Journal of Vision, Vision Research, NeuroImage, Perception and PLoS ONE.

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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