Norman Lay

701 citations
37 papers · 372 · h-index 9

Impact in

Papers in

Norman Lay

36 papers receiving 350 citations

Peers

Norman Lay
Comparison fields: 5 of 56
  • Aerospace Engineering 112
  • Atomic and Molecular Physics, and Optics 134
  • Signal Processing 31
  • Astronomy and Astrophysics 44
  • Artificial Intelligence 86
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Guolong He China
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Citations per year

Countries citing papers authored by Norman Lay

Since Specialization
Citations

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

Fields of papers citing papers by Norman Lay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 200238
3 200723
4 200218
5 202015
6 201713
7 202012
8 200311
9
Developing Low-Power Transceiver Technologies for In Situ Communication Applications
200110
10 19916
11
Software Receiver Processing for Deep Space Telemetry Applications
20105
12 20025
13 20205
14 20214
15 20024
16 20054
17 20064
18 20204
19
Opportunistic MSPA Demonstration #1: Final Report
20153
20
The design and performance of a modem for land mobile satellite communications
19883

About Norman Lay

Norman Lay is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Astronomy and Astrophysics and Signal Processing, having authored 37 papers that have together received 372 indexed citations. Recurring topics across this work include Satellite Communication Systems (11 papers), Wireless Communication Networks Research (8 papers), Advanced Wireless Communication Techniques (8 papers), Planetary Science and Exploration (7 papers), Radio Astronomy Observations and Technology (6 papers), Spacecraft Design and Technology (5 papers), Blind Source Separation Techniques (5 papers) and Energy Harvesting in Wireless Networks (5 papers). The work is most often cited by research in Aerospace Engineering (112 citations), Atomic and Molecular Physics, and Optics (134 citations), Signal Processing (31 citations), Astronomy and Astrophysics (44 citations) and Artificial Intelligence (86 citations). Norman Lay has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include A. Polydoros, Kamal Oudrhiri, Robert J. Thompson, David C. Aveline, James M. Kohel, Jason Williams, Nan Yu, James R. Kellogg, Ethan Elliott and Robert Shotwell. Their work appears in journals such as IEEE Aerospace and Electronic Systems Magazine, Nature, Journal of Spacecraft and Rockets, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Vehicular Technology.

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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