Jonathan Ashdown

1.3k citations
66 papers · 960 · h-index 18

Impact in

Papers in

Jonathan Ashdown

64 papers receiving 938 citations

Peers

Jonathan Ashdown
Comparison fields: 5 of 77
  • Computer Networks and Communications 377
  • Electrical and Electronic Engineering 628
  • Aerospace Engineering 231
  • Media Technology 45
  • Artificial Intelligence 133
Replace Tiago Gomes with:
Tiago Gomes Portugal
Stephan Sand Germany
Steven Lanzisera United States
Kaifeng Han China
Quan Yu China
Kamran Sayrafian United States
Basem M. ElHalawany Egypt
Fabian de Ponte Müller Germany
César A. Azurdia-Meza Chile
Yang Lu China
Jonathan Ashdown relative to Tiago Gomes Portugal Tiago Gomes's profile →
Citations per field
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Tiago Gomes · 1×
Citations per year

Countries citing papers authored by Jonathan Ashdown

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Ashdown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020128
2 201959
3 202154
4 201851
5 200745
6 201841
7 201336
8 201733
9 201932
10 201029
11 201128
12 202225
13 202124
14 201621
15 201819
16 201318
17 202018
18 201917
19 202017
20 202015

About Jonathan Ashdown

Jonathan Ashdown is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence and Biomedical Engineering, having authored 66 papers that have together received 960 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (16 papers), Energy Harvesting in Wireless Networks (13 papers), UAV Applications and Optimization (11 papers), Wireless Power Transfer Systems (9 papers), Cognitive Radio Networks and Spectrum Sensing (9 papers), Advanced Memory and Neural Computing (6 papers), Wireless Signal Modulation Classification (6 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Computer Networks and Communications (377 citations), Electrical and Electronic Engineering (628 citations), Aerospace Engineering (231 citations), Media Technology (45 citations) and Artificial Intelligence (133 citations). Jonathan Ashdown has collaborated with scholars based in United States, Italy and Chile. Frequent co-authors include Fatemeh Afghah, Lingjia Liu, Yang Yi, G.J. Saulnier, Gaurang Naik, William Lehr, Jung‐Min Park, Henry A. Scarton, Abolfazl Razi and A. J. Gavens. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Wireless Communications, IEEE Open Journal of the Communications Society and International Journal of Wireless Information Networks.

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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