P.D. Lawrence

1.9k citations
66 papers · 1.5k · h-index 23

Impact in

Papers in

P.D. Lawrence

64 papers receiving 1.4k citations

Peers

P.D. Lawrence
Comparison fields: 5 of 91
  • Control and Systems Engineering 817
  • Mechanical Engineering 766
  • Human-Computer Interaction 121
  • Computer Vision and Pattern Recognition 192
  • Cognitive Neuroscience 161
Replace Heikki Handroos with:
Heikki Handroos Finland
Shahram Payandeh Canada
Juntong Yun China
Xiaodong Zhang China
Jun Takamatsu Japan
Jingtai Liu China
Shinjiro Sueda United States
Hashem Ashrafiuon United States
Kui Yuan China
Hikaru Inooka Japan
P.D. Lawrence relative to Heikki Handroos Finland Heikki Handroos's profile →
Citations per field
00.5×2×2.9×
Heikki Handroos · 1×
Citations per year

Countries citing papers authored by P.D. Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by P.D. Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998123
2 2002116
3 199987
4 199978
5 200470
6 201167
7 200657
8 200256
9 200055
10 199755
11 199951
12 199340
13 200240
14 199037
15 199436
16 199335
17 200433
18 199630
19 200228
20 200327

About P.D. Lawrence

P.D. Lawrence is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (24 papers), Robot Manipulation and Learning (10 papers), Robotics and Sensor-Based Localization (9 papers), Teleoperation and Haptic Systems (8 papers), Robotic Mechanisms and Dynamics (8 papers), Fault Detection and Control Systems (7 papers), Industrial Vision Systems and Defect Detection (6 papers) and Wood Treatment and Properties (6 papers). The work is most often cited by research in Control and Systems Engineering (817 citations), Mechanical Engineering (766 citations), Human-Computer Interaction (121 citations), Computer Vision and Pattern Recognition (192 citations) and Cognitive Neuroscience (161 citations). P.D. Lawrence has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Septimiu E. Salcudean, Shahram Tafazoli, Nariman Sepehri, Borna Noureddin, Farrokh Sassani, Gary E. Birch, C.W. de Silva, Keyvan Hashtrudi-Zaad, S. Bachmann and Gregory Z. Grudić. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Robotica, IEEE Transactions on Control Systems Technology, IEEE Transactions on Instrumentation and Measurement and IEEE Transactions on Robotics and Automation.

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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