Ravi C. Nayar

554 total citations
45 papers, 339 citations indexed

About

Ravi C. Nayar is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ravi C. Nayar has authored 45 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ravi C. Nayar's work include Head and Neck Cancer Studies (4 papers), Advanced Image Fusion Techniques (3 papers) and Allergic Rhinitis and Sensitization (3 papers). Ravi C. Nayar is often cited by papers focused on Head and Neck Cancer Studies (4 papers), Advanced Image Fusion Techniques (3 papers) and Allergic Rhinitis and Sensitization (3 papers). Ravi C. Nayar collaborates with scholars based in India, United States and Ireland. Ravi C. Nayar's co-authors include Tripty Singh, Juma Al Kaabi, G Schwaab, B Luboïnski, Orlando Parise, Daniel Gandía, Rekha R Nair, V. Sreenivas, Elizabeth L. Wiley and Ann D. Thor and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Ravi C. Nayar

42 papers receiving 321 citations

Peers

Ravi C. Nayar
Comparison fields: 5 of 80
  • Pulmonary and Respiratory Medicine 93
  • Surgery 89
  • Molecular Biology 63
  • Oncology 51
  • Otorhinolaryngology 43
Replace Henry Zhang with:
Henry Zhang United Kingdom
Alexander Delides Greece
Juergen Hoffmann Germany
Nicolai Oetter Germany
C Martinenghi Italy
Jan Sigurd Røtnes Norway
Yu‐Hung Chen Taiwan
Paramjit Singh India
Ling-xiang Ruan China
Harris Canada
Henry Zhang United Kingdom View profile →
Citations per field, relative to Ravi C. Nayar
Ravi C. Nayar · 1×
Citations per year, relative to Ravi C. Nayar
Ravi C. Nayar · 1×

Countries citing papers authored by Ravi C. Nayar

Since Specialization
Citations

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

Fields of papers citing papers by Ravi C. Nayar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi C. Nayar. 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 Ravi C. Nayar. The network helps show where Ravi C. Nayar may publish in the future.

Co-authorship network of co-authors of Ravi C. Nayar

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi C. Nayar. A scholar is included among the top collaborators of Ravi C. Nayar 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 Ravi C. Nayar. Ravi C. Nayar 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 0
2 5
3 1
4 0
5 2
6 1
7 4
8 1
9 9
10 2
11 20
12 7
13
Does anesthetic induction for Cesarean section with a combination of ketamine and thiopentone confer any benefits over thiopentone or ketamine alone? A prospective randomized study.
16
14 11
15 5
16 2
17 31
18 10
19 6
20 2

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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