María Helguera

431 total citations
38 papers, 316 citations indexed

About

María Helguera is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, María Helguera has authored 38 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Biomedical Engineering. Recurrent topics in María Helguera's work include Medical Imaging Techniques and Applications (11 papers), Ultrasound Imaging and Elastography (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). María Helguera is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Ultrasound Imaging and Elastography (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). María Helguera collaborates with scholars based in United States, Mexico and Canada. María Helguera's co-authors include Diane Dalecki, Denise C. Hocking, Andrzej Król, Stefi A. Baum, Próspero Di Pierro, Giovanna Rossi‐Márquez, Cristian A. Linte, Stephen A. McAleavey, Christoph J. Griessenauer and Ramin Zand and has published in prestigious journals such as Radiology, The Journal of the Acoustical Society of America and American Journal of Neuroradiology.

In The Last Decade

María Helguera

33 papers receiving 301 citations

Peers

María Helguera
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 125
  • Biomedical Engineering 121
  • Computer Vision and Pattern Recognition 57
  • Media Technology 39
  • Pulmonary and Respiratory Medicine 30
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Citations per field, relative to María Helguera
María Helguera · 1×
Citations per year, relative to María Helguera
María Helguera · 1×

Countries citing papers authored by María Helguera

Since Specialization
Citations

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

Fields of papers citing papers by María Helguera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Helguera

This figure shows the co-authorship network connecting the top 25 collaborators of María Helguera. A scholar is included among the top collaborators of María Helguera 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 María Helguera. María Helguera 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 1
2 2
3 22
4 20
5 6
6 3
7 1
8 1
9 9
10 32
11 35
12 1
13 4
14 8
15 13
16 2
17 5
18 31
19 6
20 6

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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