Carlos Riveros

493 total citations · 1 hit paper
41 papers, 226 citations indexed

About

Carlos Riveros is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Carlos Riveros has authored 41 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 16 papers in Pulmonary and Respiratory Medicine and 9 papers in Molecular Biology. Recurrent topics in Carlos Riveros's work include Bladder and Urothelial Cancer Treatments (11 papers), Renal cell carcinoma treatment (9 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). Carlos Riveros is often cited by papers focused on Bladder and Urothelial Cancer Treatments (11 papers), Renal cell carcinoma treatment (9 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). Carlos Riveros collaborates with scholars based in United States, Canada and Colombia. Carlos Riveros's co-authors include Christopher J.D. Wallis, Raj Satkunasivam, Zachary Klaassen, Angela Jerath, Allan S. Detsky, Arghavan Salles, Kirusanthy Kaneshwaran, Lesley Gotlib Conn, Khatereh Aminoltejari and Amy N. Luckenbaugh and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Carlos Riveros

32 papers receiving 220 citations

Hit Papers

Surgeon Sex and Long-Term Postoperative Outcomes Among Pa... 2023 2026 2024 2025 2023 25 50 75

Peers

Carlos Riveros
Comparison fields: 5 of 65
  • Gender Studies 91
  • Public Health, Environmental and Occupational Health 65
  • General Health Professions 46
  • Pulmonary and Respiratory Medicine 46
  • Surgery 44
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Citations per field, relative to Carlos Riveros
Carlos Riveros · 1×
Citations per year, relative to Carlos Riveros
Carlos Riveros · 1×

Countries citing papers authored by Carlos Riveros

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Riveros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Riveros

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Riveros. A scholar is included among the top collaborators of Carlos Riveros 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 Carlos Riveros. Carlos Riveros 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 1
3 1
4 0
5 7
6 1
7 2
8 3
9 1
10 6
11 11
12 1
13 1
14 7
15 15
16 2
17 3
18 11
19 1
20 0

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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