Mihir Mody

429 total citations
59 papers, 300 citations indexed

About

Mihir Mody is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Mihir Mody has authored 59 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 23 papers in Electrical and Electronic Engineering and 14 papers in Signal Processing. Recurrent topics in Mihir Mody's work include Video Coding and Compression Technologies (14 papers), CCD and CMOS Imaging Sensors (12 papers) and Advanced Neural Network Applications (12 papers). Mihir Mody is often cited by papers focused on Video Coding and Compression Technologies (14 papers), CCD and CMOS Imaging Sensors (12 papers) and Advanced Neural Network Applications (12 papers). Mihir Mody collaborates with scholars based in United States, India and United Kingdom. Mihir Mody's co-authors include Manu Mathew, Soyeb Nagori, Hrushikesh Garud, Buyue Zhang, Mahesh Mehendale, Deepak Poddar, Jason W. Jones, Gang Hua, Mohit Sharma and Zoran Nikolić and has published in prestigious journals such as Microprocessors and Microsystems and Electronic Imaging.

In The Last Decade

Mihir Mody

50 papers receiving 288 citations

Peers

Mihir Mody
Hao Xiao China
Pei-Kuei Tsung Taiwan
Abdessalem Ben Abdelali Tunisia
Nalini C. Iyer India
Bogdan Ciubotaru Romania
Liping Lu China
Hsiao-Rong Tyan Taiwan
Arnav Vaibhav Malawade United States
Weijing Shi China
Ahmed Al Maashri Oman
Hao Xiao China
Mihir Mody
Citations per year, relative to Mihir Mody Mihir Mody (= 1×) peers Hao Xiao

Countries citing papers authored by Mihir Mody

Since Specialization
Citations

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

Fields of papers citing papers by Mihir Mody

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihir Mody

This figure shows the co-authorship network connecting the top 25 collaborators of Mihir Mody. A scholar is included among the top collaborators of Mihir Mody 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 Mihir Mody. Mihir Mody 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.
Mody, Mihir, et al.. (2024). Efficient Fault Tolerant Architecture for Neural Network Compute. Electronic Imaging. 36(17). 113–1. 1 indexed citations
2.
Mathew, Manu, et al.. (2023). OpTIFlow – An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs. Electronic Imaging. 35(16). 113. 1 indexed citations
3.
4.
Mody, Mihir, et al.. (2023). Single Chip Traction Inverter System using High Performance and Real-time AM263 MCU. 1–5. 1 indexed citations
5.
Mody, Mihir, et al.. (2023). Single Chip Radar Processing for Object Detection. 1–6. 2 indexed citations
6.
7.
Mody, Mihir, et al.. (2022). Efficient in-cabin monitoring solution using TI TDA2PxSOCs. Electronic Imaging. 34(16). 116–1. 1 indexed citations
8.
Pathak, A. P., et al.. (2022). Open source deep learning inference libraries for autonomous driving systems. Electronic Imaging. 34(16). 118–1.
9.
Mody, Mihir, et al.. (2018). Understanding Vehicle E/E Architecture Topologies for Automated Driving: System Partitioning and Tradeoff Parameters. Electronic Imaging. 30(17). 358–1. 12 indexed citations
10.
Mody, Mihir, et al.. (2018). Multi-sensor fusion for Automated Driving: Selecting model and optimizing on Embedded platform. Electronic Imaging. 30(17). 256–1. 6 indexed citations
11.
Mody, Mihir, et al.. (2017). Enabling Functional Safety ASIL Compliance for Autonomous Driving Software Systems. Electronic Imaging. 29(19). 35–40. 14 indexed citations
12.
Mody, Mihir, et al.. (2017). Novel OpenVX implementation for heterogeneous multi-core systems. 77–80. 3 indexed citations
13.
Mody, Mihir, et al.. (2017). Efficient Pre-Processor for CNN. Electronic Imaging. 29(19). 50–53. 2 indexed citations
14.
Mody, Mihir, et al.. (2017). A 216 GOPS flexible WDR Image Processor for ADAS SoC. 46. 1–2. 2 indexed citations
15.
Mody, Mihir, Deepak Poddar, Zoran Nikolić, et al.. (2015). High Performance Front Camera ADAS Applications on TI's TDA3X Platform. 456–463. 13 indexed citations
16.
Mody, Mihir, et al.. (2014). Trends in camera based Automotive Driver Assistance Systems (ADAS). 1110–1115. 37 indexed citations
17.
18.
Mody, Mihir, et al.. (2014). Understanding system level caching behavior in multimedia SoC. 317–320.
19.
Mody, Mihir, et al.. (2014). Generic transfer scheme for outputting video frame in Ultra-HD video Engine. 294–297. 1 indexed citations
20.
Mody, Mihir. (2014). HEVC video encoder & decoder architecture for multi-cores. 1–5. 3 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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2026