Daniel H. Baker

4.5k citations
140 papers · 3.3k · 1 hit paper · h-index 28

Impact in

Papers in

Daniel H. Baker

127 papers receiving 3.1k citations

Daniel H. Baker's Hit Papers

The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm 1981 · 609 citations
6090+15+30Years since publication200400600

Peers

Daniel H. Baker
Comparison fields: 5 of 124
  • Cognitive Neuroscience 1.8k
  • Ophthalmology 285
  • Computer Networks and Communications 607
  • Epidemiology 634
  • Sensory Systems 63
Replace Ennio Mingolla with:
Ennio Mingolla United States
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Lawrence Stark United States
Robert P. O’Shea Australia
Bertram E. Shi Hong Kong
Juno Kim Australia
Qi Zhao United States
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Farshad Moradi Denmark
H. K. Nishihara Japan
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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-authors

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

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm
Hit paper breakdown →
1981609
2 2006229
3 2007169
4 2014147
5 2008134
6 1989105
7 200790
8 200770
9 200967
10 200766
11 201562
12 198758
13 199758
14 197855
15 201252
16 201850
17 199450
18 201647
19 200644
20 200942

About Daniel H. Baker

Daniel H. Baker is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Epidemiology, Ophthalmology and Electrical and Electronic Engineering, having authored 140 papers that have together received 3.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (81 papers), Neural dynamics and brain function (37 papers), Ophthalmology and Visual Impairment Studies (19 papers), Color Science and Applications (18 papers), Face Recognition and Perception (11 papers), Glaucoma and retinal disorders (8 papers), Color perception and design (7 papers) and Visual Attention and Saliency Detection (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Ophthalmology (285 citations), Computer Networks and Communications (607 citations), Epidemiology (634 citations) and Sensory Systems (63 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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