Cameron Rivera

12 papers receiving 211 citations

Cameron Rivera's Hit Papers

Postoperative delirium and changes in the blood–brain barrier, neuroinflammation, and cerebrospinal fluid lactate: a prospective cohort study 2022 · 119 citations
1190+1+2Years since publication255075100

Peers

Cameron Rivera
Comparison fields: 5 of 34
  • Critical Care and Intensive Care Medicine 116
  • Developmental Neuroscience 45
  • Anesthesiology and Pain Medicine 16
  • Neurology 19
  • Health Informatics 2
Replace David Kunkel with:
David Kunkel Australia
Anna Schening Sweden
Patricia Rentowl United Kingdom
Ernesto Pastor Díaz de Garayo Spain
Mao Xu China
Xuyan Zhou China
Molly R. Nadelson United States
Minhye Kwak United States
Christopher G. Ward United States
Ching-Rong Cheng Taiwan
Cameron Rivera relative to David Kunkel Australia David Kunkel's profile →
Citations per field
00.5×1.5×
David Kunkel · 1×
Citations per year

Countries citing papers authored by Cameron Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Cameron Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Postoperative delirium and changes in the blood–brain barrier, neuroinflammation, and cerebrospinal fluid lactate: a prospective cohort study
Hit paper breakdown →
2022119
2 202328
3 202111
4 20239
5 20229
6 20248
7 20228
8 20238
9 20245
10 20243
11 20242
12 20251
13 20250
14 20260

About Cameron Rivera

Cameron Rivera is a scholar working on Critical Care and Intensive Care Medicine, Genetics, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 14 papers that have together received 211 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (5 papers), Neuroscience and Neural Engineering (1 paper), Glioma Diagnosis and Treatment (1 paper), Functional Brain Connectivity Studies (1 paper), Brain Metastases and Treatment (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (116 citations), Developmental Neuroscience (45 citations), Anesthesiology and Pain Medicine (16 citations), Neurology (19 citations) and Health Informatics (2 citations). Cameron Rivera has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Kunkel, Jennifer Taylor, Cameron Casey, Margaret Parker, Richard Lennertz, Robert A. Pearce, Robert D. Sanders, Kaj Blennow, Henrik Zetterberg and Sean Tanabe. Their work appears in journals such as British Journal of Anaesthesia, Journal of Neuro-Oncology, Neurosurgical FOCUS, Neurosurgery and Journal of neurosurgery.

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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