Ravish Mehra

1.8k total citations
57 papers, 1.3k citations indexed

About

Ravish Mehra is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ravish Mehra has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 32 papers in Cognitive Neuroscience and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ravish Mehra's work include Speech and Audio Processing (34 papers), Hearing Loss and Rehabilitation (28 papers) and Acoustic Wave Phenomena Research (15 papers). Ravish Mehra is often cited by papers focused on Speech and Audio Processing (34 papers), Hearing Loss and Rehabilitation (28 papers) and Acoustic Wave Phenomena Research (15 papers). Ravish Mehra collaborates with scholars based in United States, Israel and United Kingdom. Ravish Mehra's co-authors include Dinesh Manocha, Nikunj Raghuvanshi, Ming C. Lin, Carl Schissler, Alla Sheffer, Niloy J. Mitra, Lakulish Antani, Brett R. Jones, Lior Shapira and Eyal Ofek and has published in prestigious journals such as The Journal of the Acoustical Society of America, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Ravish Mehra

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
Ravish Mehra United States 18 541 469 458 241 238 57 1.3k
Nicolas Tsingos France 18 625 1.2× 317 0.7× 566 1.2× 129 0.5× 303 1.3× 57 1.2k
Nikunj Raghuvanshi United States 16 559 1.0× 258 0.6× 457 1.0× 203 0.8× 194 0.8× 42 1.1k
Lauri Savioja Finland 26 943 1.7× 1.2k 2.5× 1.5k 3.4× 82 0.3× 196 0.8× 140 2.7k
Kees van den Doel Canada 20 504 0.9× 357 0.8× 261 0.6× 161 0.7× 158 0.7× 47 1.3k
Durand R. Begault United States 16 332 0.6× 1.1k 2.4× 651 1.4× 162 0.7× 33 0.1× 84 1.6k
Maarten van Walstijn United Kingdom 16 703 1.3× 507 1.1× 620 1.4× 107 0.4× 28 0.1× 73 1.2k
Damian Murphy United Kingdom 18 305 0.6× 398 0.8× 564 1.2× 55 0.2× 13 0.1× 122 972
Jyri Huopaniemi Finland 18 654 1.2× 600 1.3× 1.2k 2.7× 47 0.2× 55 0.2× 52 1.6k
Elizabeth M. Wenzel United States 20 309 0.6× 1.5k 3.2× 793 1.7× 211 0.9× 34 0.1× 54 1.9k
U. Peter Svensson Norway 15 235 0.4× 369 0.8× 622 1.4× 14 0.1× 70 0.3× 76 1.1k

Countries citing papers authored by Ravish Mehra

Since Specialization
Citations

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

Fields of papers citing papers by Ravish Mehra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravish Mehra

This figure shows the co-authorship network connecting the top 25 collaborators of Ravish Mehra. A scholar is included among the top collaborators of Ravish Mehra 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 Ravish Mehra. Ravish Mehra 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.
Mehra, Ravish, et al.. (2022). On the Differences in Preferred Headphone Response for Spatial and Stereo Content. Journal of the Audio Engineering Society. 70(4). 271–283. 5 indexed citations
2.
Keidser, Gitte, Graham Naylor, Douglas S. Brungart, et al.. (2022). Comment on the Point of View “Ecological Validity, External Validity and Mundane Realism in Hearing Science”. Ear and Hearing. 43(5). 1601–1602. 3 indexed citations
3.
Mehra, Ravish, et al.. (2021). Binaural Reproduction Based on Bilateral Ambisonics and Ear-Aligned HRTFs. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 901–913. 17 indexed citations
4.
Tourbabin, Vladimir, et al.. (2021). Adaptive Multi-Channel Signal Enhancement Based on Multi-Source Contribution Estimation. 2021 29th European Signal Processing Conference (EUSIPCO). 276–280. 1 indexed citations
5.
Pulkki, Ville, et al.. (2020). Numerical simulations of near-field head-related transfer functions: Magnitude verification and validation with laser spark sources. The Journal of the Acoustical Society of America. 148(1). 153–166. 9 indexed citations
6.
Geronazzo, Michele, et al.. (2020). Pinna-related transfer functions and lossless wave equation using finite-difference methods: Validation with measurements. The Journal of the Acoustical Society of America. 147(5). 3631–3645. 6 indexed citations
7.
Mehra, Ravish, et al.. (2020). Binaural Reproduction using Bilateral Ambisonics. 2 indexed citations
8.
Mehra, Ravish, et al.. (2019). Efficient Representation and Sparse Sampling of Head-Related Transfer Functions Using Phase-Correction Based on Ear Alignment. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(12). 2249–2262. 22 indexed citations
9.
Rafaely, Boaz, et al.. (2019). Loudness stability of binaural sound with spherical harmonic representation of sparse head-related transfer functions. EURASIP Journal on Audio Speech and Music Processing. 2019(1). 26 indexed citations
10.
Mehra, Ravish, et al.. (2019). Sparse Representation of Hrtfs by Ear Alignment. 55. 70–74. 2 indexed citations
11.
Garí, Sebastià V. Amengual, et al.. (2019). Evaluation of Real-Time Sound Propagation Engines in a Virtual Reality Framework. 3 indexed citations
12.
Robinson, Philip, et al.. (2019). The Effect of Generic Headphone Compensation on Binaural Renderings. 7 indexed citations
13.
Fayek, Haytham M., et al.. (2017). On Data-Driven Approaches to Head-Related-Transfer Function Personalization. Journal of the Audio Engineering Society. 5 indexed citations
14.
Hillis, James, et al.. (2017). Spatial perception in binaural reproduction with sparse head-related transfer function measurement grids. The Journal of the Acoustical Society of America. 141(5_Supplement). 3855–3855.
15.
Mehra, Ravish, et al.. (2015). WAVE: Interactive Wave-based Sound Propagation for Virtual Environments. IEEE Transactions on Visualization and Computer Graphics. 21(4). 434–442. 42 indexed citations
16.
Mehra, Ravish, Lakulish Antani, Sujeong Kim, & Dinesh Manocha. (2014). Source and Listener Directivity for Interactive Wave-Based Sound Propagation. IEEE Transactions on Visualization and Computer Graphics. 20(4). 495–503. 36 indexed citations
17.
Mehra, Ravish, et al.. (2014). Efficient HRTF Computation Using Adaptive Rectangular Decomposition. 8 indexed citations
18.
Jones, Brett R., Rajinder Singh Sodhi, Ravish Mehra, et al.. (2014). RoomAlive. 637–644. 226 indexed citations
19.
Yeh, Hengchin, Ravish Mehra, Zhimin Ren, et al.. (2013). Wave-ray coupling for interactive sound propagation in large complex scenes. ACM Transactions on Graphics. 32(6). 1–11. 44 indexed citations
20.
Raghuvanshi, Nikunj, John Snyder, Ravish Mehra, Ming C. Lin, & Naga K. Govindaraju. (2010). Precomputed wave simulation for real-time sound propagation of dynamic sources in complex scenes. ACM Transactions on Graphics. 29(4). 1–11. 58 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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