Rohan Doshi

849 total citations · 1 hit paper
11 papers, 680 citations indexed

About

Rohan Doshi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Rohan Doshi has authored 11 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Rohan Doshi's work include Advanced Memory and Neural Computing (4 papers), Advanced Neural Network Applications (4 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Rohan Doshi is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Advanced Neural Network Applications (4 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Rohan Doshi collaborates with scholars based in United States, Taiwan and Macao. Rohan Doshi's co-authors include Changhao Xu, Jihong Min, Aaron D. Ames, Rachel Gehlhar, Joanna M. Nassar, Adam Dai, You Yu, Wei Gao, Yu Song and Yiran Yang and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Science Robotics and Clean Technologies and Environmental Policy.

In The Last Decade

Rohan Doshi

11 papers receiving 667 citations

Hit Papers

Biofuel-powered soft electronic skin with multiplexed and... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohan Doshi United States 9 468 264 165 146 71 11 680
Kinde Anlay Fante Ethiopia 13 366 0.8× 343 1.3× 241 1.5× 88 0.6× 49 0.7× 42 937
Allan Zhao United States 7 662 1.4× 248 0.9× 164 1.0× 244 1.7× 159 2.2× 10 858
Taemin Lee South Korea 11 644 1.4× 274 1.0× 245 1.5× 286 2.0× 91 1.3× 35 831
Yu Xiao China 13 466 1.0× 402 1.5× 135 0.8× 114 0.8× 87 1.2× 49 765
Satoko Honda Japan 14 642 1.4× 286 1.1× 164 1.0× 194 1.3× 78 1.1× 21 776
Rachel Gehlhar United States 6 554 1.2× 193 0.7× 168 1.0× 144 1.0× 71 1.0× 8 652
Qiang Zou China 14 569 1.2× 229 0.9× 167 1.0× 227 1.6× 61 0.9× 46 728
Siyu Gao China 6 356 0.8× 203 0.8× 105 0.6× 185 1.3× 51 0.7× 35 597
Adam Dai United States 4 464 1.0× 192 0.7× 165 1.0× 144 1.0× 68 1.0× 8 577
Yajie Qin China 17 591 1.3× 518 2.0× 255 1.5× 166 1.1× 94 1.3× 97 1.1k

Countries citing papers authored by Rohan Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Rohan Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohan Doshi

This figure shows the co-authorship network connecting the top 25 collaborators of Rohan Doshi. A scholar is included among the top collaborators of Rohan Doshi 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 Rohan Doshi. Rohan Doshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Doshi, Rohan, et al.. (2024). Distributed MQTT Broker: A Load-Balanced Redis-Based Architecture. 1–6. 2 indexed citations
3.
Radway, Robert M., Massimo Giordano, Rohan Doshi, et al.. (2022). CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference. IEEE Journal of Solid-State Circuits. 57(4). 1013–1026. 39 indexed citations
5.
Giordano, Massimo, Robert M. Radway, Rohan Doshi, et al.. (2021). CHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference. 1–2. 35 indexed citations
6.
Doshi, Rohan, Xia Zhang, Fadi Biadsy, et al.. (2021). Extending Parrotron: An End-to-End, Speech Conversion and Speech Recognition Model for Atypical Speech. 6988–6992. 15 indexed citations
7.
Yu, Wei-Han, Massimo Giordano, Rohan Doshi, et al.. (2021). A 4-bit Mixed-Signal MAC Array with Swing Enhancement and Local Kernel Memory. 326–329. 8 indexed citations
8.
Yu, You, Joanna M. Nassar, Changhao Xu, et al.. (2020). Biofuel-powered soft electronic skin with multiplexed and wireless sensing for human-machine interfaces. Science Robotics. 5(41). 531 indexed citations breakdown →
9.
Doshi, Rohan, et al.. (2017). IoT network monitor. 1–5. 8 indexed citations
10.
Doshi, Rohan, et al.. (2016). Deep learning neural networks optimization using hardware cost penalty. 1954–1957. 9 indexed citations
11.
Doshi, Rohan, Urmila M. Diwekar, Pahola Thathiana Benavides, Kirti M. Yenkie, & Heriberto Cabezas. (2014). Maximizing sustainability of ecosystem model through socio-economic policies derived from multivariable optimal control theory. Clean Technologies and Environmental Policy. 17(6). 1573–1583. 23 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026