Anandhan Dhanasingh

1.6k total citations
59 papers, 1.2k citations indexed

About

Anandhan Dhanasingh is a scholar working on Cognitive Neuroscience, Sensory Systems and Otorhinolaryngology. According to data from OpenAlex, Anandhan Dhanasingh has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 36 papers in Sensory Systems and 20 papers in Otorhinolaryngology. Recurrent topics in Anandhan Dhanasingh's work include Hearing Loss and Rehabilitation (46 papers), Hearing, Cochlea, Tinnitus, Genetics (36 papers) and Ear Surgery and Otitis Media (20 papers). Anandhan Dhanasingh is often cited by papers focused on Hearing Loss and Rehabilitation (46 papers), Hearing, Cochlea, Tinnitus, Genetics (36 papers) and Ear Surgery and Otitis Media (20 papers). Anandhan Dhanasingh collaborates with scholars based in Austria, Germany and Saudi Arabia. Anandhan Dhanasingh's co-authors include Claude Jolly, Ingeborg Hochmair, George Alexiades, Jürgen Gröll, Jochen Salber, Martin Zenke, Peter S. Roland, Paul Van de Heyning, Sabine Neuß and Christian Apel and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

Anandhan Dhanasingh

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anandhan Dhanasingh Austria 17 751 587 270 240 211 59 1.2k
Andreas Radeloff Germany 20 834 1.1× 703 1.2× 401 1.5× 109 0.5× 260 1.2× 74 1.4k
Yann Nguyen France 27 903 1.2× 840 1.4× 755 2.8× 274 1.1× 153 0.7× 106 2.1k
Jeong Hun Jang South Korea 23 453 0.6× 562 1.0× 380 1.4× 375 1.6× 83 0.4× 125 1.5k
Martin Ďurišin Germany 16 254 0.3× 232 0.4× 159 0.6× 116 0.5× 84 0.4× 75 981
Kristen Rak Germany 17 450 0.6× 361 0.6× 225 0.8× 89 0.4× 145 0.7× 106 984
Gunesh P. Rajan Australia 27 971 1.3× 828 1.4× 600 2.2× 95 0.4× 262 1.2× 93 2.0k
Claude Jolly Austria 23 1.5k 2.0× 1.3k 2.2× 444 1.6× 261 1.1× 437 2.1× 36 1.9k
Verena Scheper Germany 20 543 0.7× 668 1.1× 190 0.7× 206 0.9× 86 0.4× 80 1.3k
Robert Mlynski Germany 24 890 1.2× 631 1.1× 943 3.5× 134 0.6× 159 0.8× 165 2.0k
Christoph Arnoldner Austria 26 1.2k 1.6× 936 1.6× 612 2.3× 125 0.5× 394 1.9× 112 1.9k

Countries citing papers authored by Anandhan Dhanasingh

Since Specialization
Citations

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

Fields of papers citing papers by Anandhan Dhanasingh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anandhan Dhanasingh

This figure shows the co-authorship network connecting the top 25 collaborators of Anandhan Dhanasingh. A scholar is included among the top collaborators of Anandhan Dhanasingh 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 Anandhan Dhanasingh. Anandhan Dhanasingh 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
1.
Dhanasingh, Anandhan, et al.. (2024). Cochlear implant electrode design for safe and effective treatment. Frontiers in Neurology. 15. 1348439–1348439. 7 indexed citations
2.
Almuhawas, Fida, et al.. (2024). Cochlear nerve visualization in Normal anatomy and inner ear malformations. Laryngoscope Investigative Otolaryngology. 9(6). e70023–e70023. 1 indexed citations
3.
Alsanosi, Abdulrahman, et al.. (2024). A novel radiological software prototype for automatically detecting the inner ear and classifying normal from malformed anatomy. Computers in Biology and Medicine. 171. 108168–108168. 3 indexed citations
4.
Weiss, Nora M., et al.. (2023). Volumetry improves the assessment of the vestibular aqueduct size in inner ear malformation. Laryngo-Rhino-Otologie. 102(S 02). S299–S300.
5.
Dhanasingh, Anandhan, et al.. (2023). Enhancing cochlear duct length estimation by incorporating second-turn parameters. Scientific Reports. 13(1). 21496–21496. 2 indexed citations
6.
Dhanasingh, Anandhan, et al.. (2023). Applications of visualizing cochlear basal turn in cochlear implantation. Laryngoscope Investigative Otolaryngology. 8(6). 1666–1672. 2 indexed citations
7.
Dhanasingh, Anandhan, et al.. (2023). The growth of the mastoid volume in children with a cochlear implant. Scientific Reports. 13(1). 10967–10967.
8.
Alhabib, Salman F., et al.. (2022). Mastoid Growth and the Configuration of Cochlear Implant Electrode Lead. Ear Nose & Throat Journal. 104(5). NP321–NP327. 2 indexed citations
9.
Weiss, Nora M., David Bächinger, Stefan Dazert, et al.. (2022). Volumetry improves the assessment of the vestibular aqueduct size in inner ear malformation. European Archives of Oto-Rhino-Laryngology. 280(5). 2155–2163. 5 indexed citations
10.
Dhanasingh, Anandhan, M. Schulze, Markus Kipp, et al.. (2021). CT imaging-based approaches to cochlear duct length estimation—a human temporal bone study. European Radiology. 32(2). 1014–1023. 22 indexed citations
11.
Almuhawas, Fida, et al.. (2021). A novel cochlear measurement that predicts inner-ear malformation. Scientific Reports. 11(1). 7339–7339. 10 indexed citations
12.
Dhanasingh, Anandhan, et al.. (2021). A novel method of identifying inner ear malformation types by pattern recognition in the mid modiolar section. Scientific Reports. 11(1). 20868–20868. 6 indexed citations
13.
Dhanasingh, Anandhan, Claude Jolly, Gunesh P. Rajan, & Paul Van de Heyning. (2020). Literature Review on the Distribution of Spiral Ganglion Cell Bodies inside the Human Cochlear Central Modiolar Trunk. The Journal of International Advanced Otology. 16(1). 104–110. 14 indexed citations
14.
Dhanasingh, Anandhan, et al.. (2020). New Classification of Cochlear Hypoplasia Type Malformation: Relevance in Cochlear Implantation. The Journal of International Advanced Otology. 16(2). 153–157. 7 indexed citations
15.
Dhanasingh, Anandhan, Aarno Dietz, Claude Jolly, & Peter S. Roland. (2019). Human Inner-ear Malformation Types Captured in 3D. The Journal of International Advanced Otology. 15(1). 77–82. 36 indexed citations
16.
Dhanasingh, Anandhan. (2019). Why Pre-Curved Modiolar Hugging Electrodes Only Cover The Basal Turn of The Cochlea and Not Beyond that?. The Journal of International Advanced Otology. 14(3). 376–381.
17.
Dhanasingh, Anandhan & Claude Jolly. (2017). An overview of cochlear implant electrode array designs. Hearing Research. 356. 93–103. 229 indexed citations
18.
Zou, Jing, Juha Koivisto, Anandhan Dhanasingh, et al.. (2015). Imaging cochlear implantation with round window insertion in human temporal bones and cochlear morphological variation using high-resolution cone beam CT. Acta Oto-Laryngologica. 135(5). 466–472. 23 indexed citations
19.
Wimmer, Wilhelm, Nicolas Gerber, Anandhan Dhanasingh, et al.. (2013). In-vitro microCT validation of preoperative cochlear duct length estimation.. 143–146. 2 indexed citations
20.
Neuß, Sabine, Christian Apel, Bernd Denecke, et al.. (2007). Assessment of stem cell/biomaterial combinations for stem cell-based tissue engineering. Biomaterials. 29(3). 302–313. 147 indexed citations

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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