James Pardey

715 citations
15 papers · 511 · h-index 7

Impact in

Papers in

James Pardey

15 papers receiving 482 citations

Peers

James Pardey
Comparison fields: 5 of 85
  • Cognitive Neuroscience 244
  • Signal Processing 84
  • Pediatrics, Perinatology and Child Health 141
  • Endocrine and Autonomic Systems 34
  • Cardiology and Cardiovascular Medicine 99
Replace Stefanos Georgiadis with:
Stefanos Georgiadis Finland
Karin Schwab Germany
Sandy Rihana Lebanon
Norihiro Sugita Japan
Datian Ye China
Siddharth Biswal United States
Yuhei Ichimaru Japan
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Yuxiao Yang United States
O. Rompelman Netherlands
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by James Pardey

Since Specialization
Citations

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

Fields of papers citing papers by James Pardey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside James Pardey, 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 James Pardey Line = papers co-authored together James Pardey links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1996201
2 2002151
3 199664
4 199836
5 200717
6 200211
7 200510
8 19945
9
Parallel Controller Synthesis for Concurrent Data Paths
19925
10 20033
11
On the use of artificial neural networks in a commercial holter algorithm
20062
12
IFIP Workshop on Control Dominated Synthesis from A Register Transfer Level Description
19922
13
Application of artificial neural networks to medical signal processing
19942
14
VHDL and its use in VLSI Design
19911
15 20031

About James Pardey

James Pardey is a scholar working on Hardware and Architecture, Cognitive Neuroscience, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 511 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (4 papers), EEG and Brain-Computer Interfaces (3 papers), Neonatal and fetal brain pathology (3 papers), Embedded Systems Design Techniques (3 papers), Formal Methods in Verification (3 papers), ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Cognitive Neuroscience (244 citations), Signal Processing (84 citations), Pediatrics, Perinatology and Child Health (141 citations), Endocrine and Autonomic Systems (34 citations) and Cardiology and Cardiovascular Medicine (99 citations). James Pardey has collaborated with scholars based in United Kingdom. Frequent co-authors include Lionel Tarassenko, Stephen Roberts, Christopher W.G. Redman, M. Moulden, John Stradling, Colin A. Espie, J. McFie, Audrey Z. Paul, John H. McColl and David L. Hamilton. Their work appears in journals such as Journal of Sleep Research, American Journal of Obstetrics and Gynecology, British Journal of Midwifery, Medical Engineering & Physics and Microprocessors and Microsystems.

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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