P.D. Lawrence

1.9k citations
61 papers · 1.2k · h-index 20

Impact in

Papers in

P.D. Lawrence

58 papers receiving 1.1k citations

Peers

P.D. Lawrence
Comparison fields: 5 of 82
  • Control and Systems Engineering 700
  • Human-Computer Interaction 108
  • Mechanical Engineering 645
  • Computer Vision and Pattern Recognition 150
  • Cognitive Neuroscience 142
Replace Shahram Payandeh with:
Shahram Payandeh Canada
Xiaodong Zhang China
Juntong Yun China
Xiaoli Zhang United States
Shinjiro Sueda United States
Xiliang Tong China
Jun Takamatsu Japan
Shiqiang Zhu China
Kui Yuan China
S. Hosoe Japan
P.D. Lawrence relative to Shahram Payandeh Canada Shahram Payandeh's profile →
Citations per field
00.5×1.5×
Shahram Payandeh · 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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998120
2 2002111
3 199974
4 200465
5 201162
6 200254
7 200654
8 199951
9 199337
10 199036
11 200236
12 199433
13 199331
14 200431
15 199628
16 200227
17 200326
18 200325
19 199623
20 200220

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 Artificial Intelligence, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (24 papers), Robotic Mechanisms and Dynamics (8 papers), Robotics and Sensor-Based Localization (8 papers), Robot Manipulation and Learning (8 papers), Fault Detection and Control Systems (7 papers), Industrial Vision Systems and Defect Detection (6 papers), EEG and Brain-Computer Interfaces (6 papers) and Wood Treatment and Properties (6 papers). The work is most often cited by research in Control and Systems Engineering (700 citations), Human-Computer Interaction (108 citations), Mechanical Engineering (645 citations), Computer Vision and Pattern Recognition (150 citations) and Cognitive Neuroscience (142 citations). P.D. Lawrence has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Shahram Tafazoli, Septimiu E. Salcudean, Nariman Sepehri, Farrokh Sassani, Borna Noureddin, C.W. de Silva, Gary E. Birch, Keyvan Hashtrudi-Zaad, Gregory Z. Grudić and Parvaneh Saeedi. 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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