Kieran Parsons

2.3k total citations
140 papers, 1.6k citations indexed

About

Kieran Parsons is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kieran Parsons has authored 140 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Electrical and Electronic Engineering, 39 papers in Computer Networks and Communications and 22 papers in Artificial Intelligence. Recurrent topics in Kieran Parsons's work include Optical Network Technologies (76 papers), Advanced Photonic Communication Systems (34 papers) and Photonic and Optical Devices (30 papers). Kieran Parsons is often cited by papers focused on Optical Network Technologies (76 papers), Advanced Photonic Communication Systems (34 papers) and Photonic and Optical Devices (30 papers). Kieran Parsons collaborates with scholars based in United States, Japan and United Kingdom. Kieran Parsons's co-authors include Toshiaki Koike‐Akino, Keisuke Kojima, David S. Millar, Devesh K. Jha, Bingnan Wang, Mohammad H. Tahersima, Chung-Wei Lin, Philip V. Orlik, Tsuyoshi Yoshida and Ye Wang and has published in prestigious journals such as Scientific Reports, Optics Letters and Optics Express.

In The Last Decade

Kieran Parsons

126 papers receiving 1.5k citations

Peers

Kieran Parsons
Comparison fields: 5 of 67
  • Electrical and Electronic Engineering 1.3k
  • Computer Networks and Communications 348
  • Atomic and Molecular Physics, and Optics 276
  • Artificial Intelligence 265
  • Biomedical Engineering 142
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Citations per field, relative to Kieran Parsons
Kieran Parsons · 1×
Citations per year, relative to Kieran Parsons
Kieran Parsons · 1×

Countries citing papers authored by Kieran Parsons

Since Specialization
Citations

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

Fields of papers citing papers by Kieran Parsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kieran Parsons

This figure shows the co-authorship network connecting the top 25 collaborators of Kieran Parsons. A scholar is included among the top collaborators of Kieran Parsons based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kieran Parsons. Kieran Parsons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 0
5 3
6 0
7 3
8 278
9 6
10 1
11 10
12 2
13 6
14
Experimental demonstration of nonbinary LDPC convolutional codes for DP-64QAM/256QAM
2
15 0
16 6
17 6
18 30
19 8
20 1

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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