Anna M. R. Dixon

641 citations
10 papers · 483 indexed · h-index 8

Anna M. R. Dixon

10 papers receiving 473 citations

Peers

Anna M. R. Dixon
Comparison fields: 5 of 55
  • Computational Mechanics 268
  • Signal Processing 129
  • Biomedical Engineering 359
  • Cardiology and Cardiovascular Medicine 131
  • Acoustics and Ultrasonics 3
Replace Daibashish Gangopadhyay with:
Daibashish Gangopadhyay United States
Hossein Mamaghanian Switzerland
Sérgio Almeida Brazil
Andreas G. Katsiamis United Kingdom
JaeWook Shin South Korea
P. Celka Switzerland
Iñaki Romero Netherlands
C. Hutchens United States
Nirmal Kumar Rout India
Rahul Kher India
Anna M. R. Dixon relative to Daibashish Gangopadhyay United States Daibashish Gangopadhyay's profile →
Citations per field
00.5×1.5×
Daibashish Gangopadhyay · 1×
Citations per year

Countries citing papers authored by Anna M. R. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. R. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. R. Dixon. 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 Anna M. R. Dixon. The network helps show where Anna M. R. Dixon may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Anna M. R. Dixon, 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 Anna M. R. Dixon Line = papers co-authored together Anna M. R. Dixon links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20238
2 20182
3 2014123
4 2012247
5 201121
6 201111
7 201115
8 201123
9 201031
10 20092

About Anna M. R. Dixon

Anna M. R. Dixon is a scholar working on Computational Mechanics, Signal Processing, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Health, having authored 10 papers that have together received 483 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (8 papers), Sparse and Compressive Sensing Techniques (7 papers), ECG Monitoring and Analysis (3 papers), Blind Source Separation Techniques (3 papers), Genital Health and Disease (1 paper), Neural dynamics and brain function (1 paper), Advancements in Semiconductor Devices and Circuit Design (1 paper) and Advancements in PLL and VCO Technologies (1 paper). The work is most often cited by research in Computational Mechanics (268 citations), Signal Processing (129 citations), Biomedical Engineering (359 citations), Cardiology and Cardiovascular Medicine (131 citations) and Acoustics and Ultrasonics (3 citations). Anna M. R. Dixon has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include D.J. Allstot, Daibashish Gangopadhyay, Subhanshu Gupta, Andrew Y. Chen, Mohammed Ismail, Evelyn Waweru, Jacqueline Pienaar, Krishna Jafa, Caryl Feldacker and Geoffrey Setswe. Their work appears in journals such as Journal of Medical Internet Research, IEEE Transactions on Biomedical Circuits and Systems, IEEE Journal of Solid-State Circuits and PubMed.

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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