Jonathan Ashdown

1.3k citations
65 papers · 892 · h-index 17

Impact in

Papers in

Jonathan Ashdown

60 papers receiving 870 citations

Peers

Jonathan Ashdown
Comparison fields: 5 of 75
  • Computer Networks and Communications 351
  • Electrical and Electronic Engineering 601
  • Aerospace Engineering 212
  • Media Technology 44
  • Ocean Engineering 59
Replace Steven Lanzisera with:
Steven Lanzisera United States
Tiago Gomes Portugal
Kamran Sayrafian United States
Stephan Sand Germany
Kaifeng Han China
César A. Azurdia-Meza Chile
Mohamed Ibrahim Egypt
Daniele Puccinelli Switzerland
Feng Yan China
Ning Yu China
Jonathan Ashdown relative to Steven Lanzisera United States Steven Lanzisera's profile →
Citations per field
00.5×10×13.4×
Steven Lanzisera · 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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 201952
3 202149
4 201847
5 200745
6 201336
7 201836
8 201931
9 201029
10 201729
11 201128
12 202222
13 201621
14 202119
15 201318
16 202017
17 201817
18 201916
19 202015
20 201014

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 65 papers that have together received 892 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 (8 papers), Wireless Signal Modulation Classification (6 papers), Cooperative Communication and Network Coding (6 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Computer Networks and Communications (351 citations), Electrical and Electronic Engineering (601 citations), Aerospace Engineering (212 citations), Media Technology (44 citations) and Ocean Engineering (59 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, Jung‐Min Park, Gaurang Naik, William Lehr, 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, Ad Hoc Networks and IEEE Transactions on Mobile Computing.

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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