Pamela Guevara
- Computational Mathematics top 1%
- Tensor decomposition and applications 9
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- Advanced Neuroimaging Techniques and Applications 56
- Advanced MRI Techniques and Applications 29
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 33
- Neural dynamics and brain function 4
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- Fetal and Pediatric Neurological Disorders 13
- Psychiatry and Mental health top 10%
- Bipolar Disorder and Treatment 3
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- Medical Image Segmentation Techniques 5
- Co-authors
- Cyril PouponJean‐François ManginJosselin HouenouDelphine DuclapClaudio RománMarion LeboyerLinda Marrakchi‐KacemMiguel Guevara
- Partner nations
- ChileFranceUnited States
In The Last Decade
Pamela Guevara
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Computational Mathematics 82
- Radiology, Nuclear Medicine and Imaging 907
- Cognitive Neuroscience 636
- Pediatrics, Perinatology and Child Health 258
- Psychiatry and Mental health 177
Countries citing papers authored by Pamela Guevara
This map shows the geographic impact of Pamela Guevara'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 Pamela Guevara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Guevara more than expected).
Fields of papers citing papers by Pamela Guevara
This network shows the impact of papers produced by Pamela Guevara. 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 Pamela Guevara. The network helps show where Pamela Guevara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pamela Guevara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 20 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 32 | |
| 15 | 2019 | 50 | |
| 16 | 2017 | 53 | |
| 17 | 2016 | 34 | |
| 18 | 2015 | 29 | |
| 19 | 2014 | 39 | |
| 20 | 2010 | 97 |
About Pamela Guevara
Pamela Guevara is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (56 papers), Functional Brain Connectivity Studies (33 papers), Advanced MRI Techniques and Applications (29 papers), Fetal and Pediatric Neurological Disorders (13 papers), Tensor decomposition and applications (9 papers), Medical Image Segmentation Techniques (5 papers), Neural dynamics and brain function (4 papers) and Bipolar Disorder and Treatment (3 papers). The work is most often cited by research in Computational Mathematics (82 citations), Radiology, Nuclear Medicine and Imaging (907 citations) and Cognitive Neuroscience (636 citations). Pamela Guevara has collaborated with scholars based in Chile, France and United States. Frequent co-authors include Cyril Poupon, Jean‐François Mangin, Josselin Houenou, Delphine Duclap, Claudio Román, Marion Leboyer, Linda Marrakchi‐Kacem, Miguel Guevara, Alan Tucholka and Pierre Fillard. Their work appears in journals such as Journal of Neuroscience, PLoS ONE 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.