D. Reid

9.7k citations
53 papers · 2.9k indexed · 1 hit paper · h-index 15

Impact in

Papers in

D. Reid

49 papers receiving 2.7k citations

Hit Papers

An algorithm for tracking multiple targets 1979 · 2.1k citations
2.1k197920261994201050010001.5k2.0k

Peers

D. Reid
Comparison fields: 5 of 127
  • Artificial Intelligence 1.6k
  • Computer Vision and Pattern Recognition 773
  • Aerospace Engineering 728
  • Signal Processing 246
  • Computer Networks and Communications 437
Replace Peter G. Cable with:
Peter G. Cable United States
Carlo S. Regazzoni Italy
Genshe Chen United States
Sanjeev Arulampalam Australia
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D. Reid relative to Peter G. Cable United States Peter G. Cable's profile →
Citations per field
00.5×9.5×
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Citations per year

Countries citing papers authored by D. Reid

Since Specialization
Citations

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

Fields of papers citing papers by D. Reid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202211
3 202115
4 20172
5 201587
6 201436
7 201216
8 20119
9
A MAJOR STEP FORWARD IN CONTINUOUS MINER AUTOMATION
20118
10 200913
11
Measuring preparedness to teach with ICT
20051
12 20022
13 20025
14
Results on Fermion-Pair Production at LEP running in 2000
20012
15
Results on Fermion-Pair Production at LEP running from 192 and 202 GeV
20001
16 19983
17 19987
18 199750
19 199426
20
An algorithm for tracking multiple targets
Hit paper breakdown →
19792111

About D. Reid

D. Reid is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering, having authored 53 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (8 papers), Advanced Memory and Neural Computing (5 papers), Neural dynamics and brain function (5 papers), Belt Conveyor Systems Engineering (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Neural Networks and Reservoir Computing (4 papers) and Teleoperation and Haptic Systems (4 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Computer Vision and Pattern Recognition (773 citations), Aerospace Engineering (728 citations), Signal Processing (246 citations) and Computer Networks and Communications (437 citations). D. Reid has collaborated with scholars based in United Kingdom, Australia and Philippines. Frequent co-authors include Atulya K. Nagar, J. Ralston, David W. Hainsworth, Hissam Tawfik, Chad Hargrave, Mark Dunn, Emanuele Lindo Secco, Thar Baker, Abdelhak M. Zoubir and B. Boashash. Their work appears in journals such as International Journal of Mining Science and Technology, Ad Hoc Networks, Robotica, IEEE Transactions on Automatic Control and Knowledge-Based 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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