D. Johnson

24 papers receiving 389 citations

Peers

D. Johnson
Comparison fields: 5 of 93
  • Human-Computer Interaction 107
  • Computer Graphics and Computer-Aided Design 21
  • Cognitive Neuroscience 98
  • Mechanical Engineering 156
  • Signal Processing 33
Replace Sang Ho Yoon with:
Sang Ho Yoon South Korea
Fabrizio Pece United Kingdom
Jean-Loup Florens France
Jiahao Guo China
Rania Hassen Canada
Seiji Inokuchi Japan
Benoit Landry United States
Pingping Zhang China
Seungjae Lee South Korea
Arsen Abdulali United Kingdom
D. Johnson relative to Sang Ho Yoon South Korea Sang Ho Yoon's profile →
Citations per field
00.5×1.5×2×2.3×
Sang Ho Yoon · 1×
Citations per year

Countries citing papers authored by D. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by D. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200256
2 200344
3 196635
4 200535
5 201131
6 201030
7
Changing from transplanted rice to direct seeding in the rice-wheat cropping system in India.
200527
8 200322
9 200721
10 200419
11 197419
12 197618
13 197512
14 199810
15 200310
16 20117
17 19796
18 20046
19 20065
20 19734

About D. Johnson

D. Johnson is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Signal Processing, Mechanical Engineering and Control and Systems Engineering, having authored 26 papers that have together received 426 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (6 papers), Virtual Reality Applications and Impacts (5 papers), Tactile and Sensory Interactions (5 papers), Digital Filter Design and Implementation (3 papers), Advanced Chemical Sensor Technologies (2 papers), Visual perception and processing mechanisms (2 papers), Semiconductor Lasers and Optical Devices (1 paper) and Reservoir Engineering and Simulation Methods (1 paper). The work is most often cited by research in Human-Computer Interaction (107 citations), Computer Graphics and Computer-Aided Design (21 citations), Cognitive Neuroscience (98 citations), Mechanical Engineering (156 citations) and Signal Processing (33 citations). D. Johnson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Peter Willemsen, J. Robert Johnson, E. Cohen, John M. Hollerbach, Ali Nahvi, M. Mortimer, Alan H. Marshak, Barney P. Caton, K. Toriyama and Yashpal Singh. Their work appears in journals such as Solid-State Electronics, International Journal of Circuit Theory and Applications, IEEE Transactions on Visualization and Computer Graphics, American Journal of Preventive Medicine and IEEE Transactions on Circuits and Systems.

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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