Samuel R. Barber

1.1k citations
41 papers · 751 indexed · h-index 15
Topics
Surgical Simulation and Training (12 papers)Ear Surgery and Otitis Media (11 papers)Hearing, Cochlea, Tinnitus, Genetics (9 papers)

In The Last Decade

Samuel R. Barber

40 papers receiving 744 citations

Peers

Samuel R. Barber
Comparison fields: 5 of 91
  • Surgery 454
  • Biomedical Engineering 176
  • Otorhinolaryngology 155
  • Physiology 120
  • Sensory Systems 109
Replace Massimo Dellepiane with:
Massimo Dellepiane Italy
Eric J. Formeister United States
Sebastian P. Schraven Germany
Koichi Tsunoda Japan
Kurt Tschopp Switzerland
Sung‐Won Choi South Korea
Chi‐Te Wang Taiwan
Jae‐Hyun Seo South Korea
Shawn M. Stevens United States
M Russolo Italy
Samuel R. Barber relative to Massimo Dellepiane Italy Massimo Dellepiane's profile →
Citations per field
00.5×4.7×
Massimo Dellepiane · 1×
Citations per year

Countries citing papers authored by Samuel R. Barber

Since Specialization
Citations

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

Fields of papers citing papers by Samuel R. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel R. Barber. 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 Samuel R. Barber. The network helps show where Samuel R. Barber may publish in the future.

Co-authorship network of co-authors of Samuel R. Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel R. Barber. A scholar is included among the top collaborators of Samuel R. Barber 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 Samuel R. Barber. Samuel R. Barber 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
#WorkIndexed citations
1 32
2 37
3 8
4 4
5 9
6 4
7 4
8 6
9 42
10 1
11 67
12 31
13 4
14 7
15 14
16 12
17 6
18 77
19 3
20 16

About Samuel R. Barber

Samuel R. Barber is a scholar working on Otorhinolaryngology, Sensory Systems and Anesthesiology and Pain Medicine, having authored 41 papers that have together received 751 indexed citations. Recurring topics across this work include Surgical Simulation and Training (12 papers), Ear Surgery and Otitis Media (11 papers) and Hearing, Cochlea, Tinnitus, Genetics (9 papers). The work is most often cited by research in Otorhinolaryngology (155 citations), Sensory Systems (109 citations) and Anesthesiology and Pain Medicine (101 citations). Samuel R. Barber has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Elliott D. Kozin, Aaron K. Remenschneider, Daniel J. Lee, Young‐Jun Son, Saurabh Jain, Eugene H. Chang, Vivek V. Kanumuri, Brian M. Lin, Daniel J. Lee and Pedro Aguilar‐Salinas. Their work appears in journals such as The Journal of the Acoustical Society of America, The Laryngoscope and Journal of Neurotrauma.

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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