Daniel Drew

1.5k citations
42 papers · 878 indexed · h-index 19

Daniel Drew

41 papers receiving 867 citations

Peers

Daniel Drew
Comparison fields: 5 of 118
  • Cognitive Neuroscience 285
  • Human-Computer Interaction 71
  • Neuropsychology and Physiological Psychology 17
  • General Decision Sciences 18
  • Experimental and Cognitive Psychology 103
Replace Mark Sagar with:
Mark Sagar New Zealand
Bi Zhu China
Adrienne Wood United States
Alessandra Sciutti Italy
Jane E. Huggins United States
Tara Julia Hamilton Australia
Su‐Ling Yeh Taiwan
Wolfram Erlhagen Portugal
Jane X. Wang United States
Katherine Duncan United States
Daniel Drew relative to Mark Sagar New Zealand Mark Sagar's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Daniel Drew

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20249
5 20232
6 20221
7 202138
8 202116
9 202149
10 202125
11 20216
12 202184
13 202015
14
The Ionocraft: Flying Microrobots With No Moving Parts
20181
15 201851
16 20188
17 20182
18 201723
19 201751
20 201655

About Daniel Drew

Daniel Drew is a scholar working on General Decision Sciences, Applied Psychology, Cognitive Neuroscience, Neurology and Surfaces, Coatings and Films, having authored 42 papers that have together received 878 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (8 papers), Electrohydrodynamics and Fluid Dynamics (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Aerosol Filtration and Electrostatic Precipitation (6 papers), Behavioral Health and Interventions (4 papers), Modular Robots and Swarm Intelligence (4 papers), Surface Modification and Superhydrophobicity (3 papers) and Psychology of Moral and Emotional Judgment (3 papers). The work is most often cited by research in Cognitive Neuroscience (285 citations), Human-Computer Interaction (71 citations), Neuropsychology and Physiological Psychology (17 citations), General Decision Sciences (18 citations) and Experimental and Cognitive Psychology (103 citations). Daniel Drew has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Masud Husain, Kristofer S. J. Pister, Sanjay Manohar, Patricia Lockwood, Ayat Abdurahman, Björn Hartmann, Sean Follmer, David A. Mellis, Dawn Finzi and Nathan Lambert. Their work appears in journals such as Brain, Cortex, IEEE Robotics and Automation Letters, Scientific Reports and Psychological Science.

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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