J.P. Parkerson

576 citations
33 papers · 387 indexed · h-index 11

Impact in

Papers in

J.P. Parkerson

31 papers receiving 342 citations

Peers

J.P. Parkerson
Comparison fields: 5 of 47
  • Computational Theory and Mathematics 138
  • Hardware and Architecture 57
  • Artificial Intelligence 183
  • Electrical and Electronic Engineering 284
  • Human-Computer Interaction 15
Replace Gurmohan Singh with:
Gurmohan Singh India
Nitin Chandrachoodan India
Oliver Keszöcze Germany
Mohammad Javad Dousti United States
Dilip Vasudevan United States
Chia-Chun Lin Taiwan
E.Y. Chou United States
Ali Jahanian Iran
Muya Chang United States
J.P. Parkerson relative to Gurmohan Singh India Gurmohan Singh's profile →
Citations per field
00.5×4.4×
Gurmohan Singh · 1×
Citations per year

Countries citing papers authored by J.P. Parkerson

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Parkerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside J.P. Parkerson, 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 J.P. Parkerson Line = papers co-authored together J.P. Parkerson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20191
2 20151
3 201327
4 20131
5 201025
6 20101
7 200759
8 20060
9 2006108
10 200514
11 20041
12 200428
13 20032
14 20023
15 20022
16 20021
17 20026
18 20007
19 199920
20
a Signal Noise Comparison of the Interconnected Mesh Power System (imps) with a Standard Four-Layer Mcm Topology
19961

About J.P. Parkerson

J.P. Parkerson is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Human-Computer Interaction, Artificial Intelligence and Software, having authored 33 papers that have together received 387 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (8 papers), Quantum Computing Algorithms and Architecture (7 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Satellite Communication Systems (4 papers), Energy Harvesting in Wireless Networks (3 papers), VLSI and Analog Circuit Testing (3 papers), Spacecraft Design and Technology (3 papers) and Advanced MEMS and NEMS Technologies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (138 citations), Hardware and Architecture (57 citations), Artificial Intelligence (183 citations), Electrical and Electronic Engineering (284 citations) and Human-Computer Interaction (15 citations). J.P. Parkerson has collaborated with scholars based in United States. Frequent co-authors include P.K. Lala, Dilip Vasudevan, Jia Di, Pinaki Chakraborty, Nilanjan Banerjee, L.W. Schaper, Simon S. Ang, W.D. Brown, Alexander Nelson and Hameed A. Naseem. Their work appears in journals such as International Journal of Satellite Communications and Networking, ACM Transactions on Embedded Computing Systems, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Advanced Packaging and IEEE Transactions on Circuits and Systems I Regular Papers.

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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