Maria Ida Iacono

784 citations
19 papers · 594 indexed · h-index 13

Maria Ida Iacono

19 papers receiving 581 citations

Peers

Maria Ida Iacono
Comparison fields: 5 of 82
  • Radiology, Nuclear Medicine and Imaging 324
  • Biophysics 78
  • Neurology 185
  • Neurology 73
  • Cellular and Molecular Neuroscience 122
Replace Yiğitcan Eryaman with:
Yiğitcan Eryaman United States
Gregory M. Noetscher United States
Leonardo M. Angelone United States
Ángel Torrado-Carvajal Spain
Peter Serano United States
Johannes Reichold Switzerland
Devashish Shrivastava United States
Ivan S. Klyuzhin Canada
Andrew J. Asman United States
Leeor Alon United States
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Citations per year

Countries citing papers authored by Maria Ida Iacono

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ida Iacono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Ida Iacono. 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 Maria Ida Iacono. The network helps show where Maria Ida Iacono may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20221
2 201915
3 201912
4 201832
5 201829
6 201827
7 201835
8
Construction and modeling of a reconfigurable MRI coil for lowering SAR in patients with deep brain stimulation implants
20171
9 201654
10 201617
11 201673
12 20154
13 2015201
14 201529
15 20147
16 20145
17 201322
18 201229
19 20081

About Maria Ida Iacono

Maria Ida Iacono is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 19 papers that have together received 594 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Neurological disorders and treatments (8 papers), Neuroscience and Neural Engineering (5 papers), Electromagnetic Fields and Biological Effects (4 papers), Ultrasound Imaging and Elastography (4 papers), Functional Brain Connectivity Studies (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (324 citations), Biophysics (78 citations) and Neurology (185 citations). Maria Ida Iacono has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Leonardo M. Angelone, Giorgio Bonmassar, Lawrence L. Wald, Wolfgang Kainz, Laleh Golestanirad, Ioannis Vogiatzis Oikonomidis, Nikos Makris, Niels Kuster, Esra Neufeld and András Jakab. Their work appears in journals such as Physics in Medicine and Biology, Magnetic Resonance in Medicine, Frontiers in Physiology, IEEE Transactions on Biomedical Engineering and NeuroImage.

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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