Pamela Guevara
- Radiology, Nuclear Medicine and Imaging top 1%
- Cognitive Neuroscience top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Clinical Psychology top 10%
- Psychiatry and Mental health top 10%
- Co-authors
- Cyril PouponJean‐François ManginJosselin HouenouDelphine DuclapClaudio RománMarion LeboyerLinda Marrakchi‐KacemMiguel Guevara
- Topics
- Advanced Neuroimaging Techniques and Applications (56 papers)Functional Brain Connectivity Studies (33 papers)Advanced MRI Techniques and Applications (29 papers)
- Partner nations
- ChileFranceUnited States
In The Last Decade
Pamela Guevara
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 907
- Cognitive Neuroscience 636
- Pediatrics, Perinatology and Child Health 258
- Clinical Psychology 188
- 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 of co-authors of Pamela Guevara
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Guevara. A scholar is included among the top collaborators of Pamela Guevara 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 Pamela Guevara. Pamela Guevara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 32 | |
| 15 | 50 | |
| 16 | 53 | |
| 17 | 34 | |
| 18 | 29 | |
| 19 | 39 | |
| 20 | 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) and Advanced MRI Techniques and Applications (29 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.