John N. Daigle

1.1k citations
58 papers · 684 · h-index 13

Impact in

Papers in

John N. Daigle

54 papers receiving 646 citations

Peers

John N. Daigle
Comparison fields: 5 of 66
  • Management Information Systems 237
  • Computer Networks and Communications 480
  • Electrical and Electronic Engineering 334
  • Hardware and Architecture 29
  • Management Science and Operations Research 36
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Countries citing papers authored by John N. Daigle

Since Specialization
Citations

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

Fields of papers citing papers by John N. Daigle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. Daigle. 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 John N. Daigle. The network helps show where John N. Daigle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986200
2 200564
3 201442
4
Throughput analysis of an asynchronous code division multiple access (CDMA) system
198238
5 201927
6 199227
7 198922
8 199421
9 198116
10 200513
11 201112
12 198812
13 199012
14 200311
15
Queueing Theory for Computer Communications
199110
16 201610
17 198710
18 20039
19 20029
20 20068

About John N. Daigle

John N. Daigle is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Management Information Systems, Signal Processing and Artificial Intelligence, having authored 58 papers that have together received 684 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (20 papers), Network Traffic and Congestion Control (18 papers), Wireless Communication Networks Research (14 papers), Advanced Wireless Network Optimization (14 papers), Wireless Networks and Protocols (8 papers), Interconnection Networks and Systems (8 papers), Advanced Optical Network Technologies (6 papers) and Advanced Wireless Communication Techniques (6 papers). The work is most often cited by research in Management Information Systems (237 citations), Computer Networks and Communications (480 citations), Electrical and Electronic Engineering (334 citations), Hardware and Architecture (29 citations) and Management Science and Operations Research (36 citations). John N. Daigle has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Mauro Femminella, Catherine Houstis, Gianluca Reali, Qiang Duan, Marco Malvestiti, Luca Felicetti, Paolo Gresele, Ning Xiang, Zhongju Zhang and Juan Pimentel. Their work appears in journals such as Computer Networks, The Journal of the Acoustical Society of America, IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Computers.

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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