Arun Paidimarri

1.1k total citations
45 papers, 785 citations indexed

About

Arun Paidimarri is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Arun Paidimarri has authored 45 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 15 papers in Biomedical Engineering and 14 papers in Aerospace Engineering. Recurrent topics in Arun Paidimarri's work include Microwave Engineering and Waveguides (16 papers), Millimeter-Wave Propagation and Modeling (12 papers) and Radio Frequency Integrated Circuit Design (10 papers). Arun Paidimarri is often cited by papers focused on Microwave Engineering and Waveguides (16 papers), Millimeter-Wave Propagation and Modeling (12 papers) and Radio Frequency Integrated Circuit Design (10 papers). Arun Paidimarri collaborates with scholars based in United States, Japan and China. Arun Paidimarri's co-authors include Anantha P. Chandrakasan, Bodhisatwa Sadhu, Alberto Valdes‐Garcia, Danielle Griffith, Phillip Nadeau, Nathan Ickes, Xiaoxiong Gu, Alice Wang, Mark Yeck and Ning Guan and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Arun Paidimarri

40 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun Paidimarri United States 17 719 290 145 74 50 45 785
Binhee Kim South Korea 13 256 0.4× 201 0.7× 120 0.8× 71 1.0× 23 0.5× 23 443
Subhanshu Gupta United States 13 447 0.6× 275 0.9× 86 0.6× 35 0.5× 7 0.1× 50 591
Dag T. Wisland Norway 17 657 0.9× 500 1.7× 81 0.6× 41 0.6× 9 0.2× 73 830
Paolo Crovetti Italy 22 1.3k 1.8× 785 2.7× 23 0.2× 128 1.7× 44 0.9× 106 1.4k
Jaehyuk Choi South Korea 13 435 0.6× 114 0.4× 78 0.5× 30 0.4× 13 0.3× 64 592
Mo Huang Macao 20 1.3k 1.9× 560 1.9× 91 0.6× 61 0.8× 222 4.4× 97 1.4k
Dirk Hammerschmidt Germany 9 235 0.3× 191 0.7× 23 0.2× 99 1.3× 44 0.9× 45 371
Samad Sheikhaei Iran 14 510 0.7× 305 1.1× 18 0.1× 32 0.4× 45 0.9× 83 595
Kathleen Philips Netherlands 23 1.7k 2.4× 960 3.3× 80 0.6× 170 2.3× 157 3.1× 63 1.8k
Na Yan China 15 678 0.9× 135 0.5× 65 0.4× 36 0.5× 103 2.1× 118 762

Countries citing papers authored by Arun Paidimarri

Since Specialization
Citations

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

Fields of papers citing papers by Arun Paidimarri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Paidimarri

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Paidimarri. A scholar is included among the top collaborators of Arun Paidimarri 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 Arun Paidimarri. Arun Paidimarri 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.
Paidimarri, Arun, et al.. (2024). Eye-Beam: A mmWave 5G-Compliant Platform for Integrated Communications and Sensing Enabling AI-Based Object Recognition. IEEE Journal on Selected Areas in Communications. 42(9). 2354–2368. 6 indexed citations
2.
Paidimarri, Arun, et al.. (2024). The Problem of Spurious Emissions in 5G FR2 Phased Arrays, and a Solution Based on an Upmixer With Embedded LO Leakage Cancellation. SHILAP Revista de lepidopterología. 4. 193–211. 1 indexed citations
3.
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5.
Sadhu, Bodhisatwa, Arun Paidimarri, Atom O. Watanabe, et al.. (2024). A Heterogeneously Integrated 256-Element 5G Phased Array: Design, Assembly, Test. SHILAP Revista de lepidopterología. 5(1). 68–83.
6.
Liu, Duixian, Xiaoxiong Gu, Christian Baks, et al.. (2023). A Scalable Heterogeneous AiP Module for a 256-Element 5G Phased Array. 467–474. 4 indexed citations
7.
Chen, Tingjun, Hang Hu, Zhihui Gao, et al.. (2023). Open-access millimeter-wave software-defined radios in the PAWR COSMOS testbed: Design, deployment, and experimentation. Computer Networks. 234. 109922–109922. 10 indexed citations
8.
Paidimarri, Arun, Duixian Liu, Christian Baks, Bodhisatwa Sadhu, & Alberto Valdes‐Garcia. (2023). Module, antenna, and package design considerations for mm-scale IoT devices. 2101–2107.
9.
Sadhu, Bodhisatwa, Arun Paidimarri, Duixian Liu, et al.. (2022). A 24–30-GHz 256-Element Dual-Polarized 5G Phased Array Using Fast On-Chip Beam Calculators and Magnetoelectric Dipole Antennas. IEEE Journal of Solid-State Circuits. 57(12). 3599–3616. 60 indexed citations
10.
Sadhu, Bodhisatwa, Arun Paidimarri, Wooram Lee, et al.. (2022). A 24-to-30GHz 256-Element Dual-Polarized 5G Phased Array with Fast Beam-Switching Support for >30,000 Beams. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 436–438. 47 indexed citations
11.
Gu, Xiaoxiong, Duixian Liu, Yuta Hasegawa, et al.. (2021). Antenna-in-Package Integration for a Wideband Scalable 5G Millimeter-Wave Phased-Array Module. IEEE Microwave and Wireless Components Letters. 31(6). 682–684. 42 indexed citations
12.
Paidimarri, Arun, et al.. (2020). 3D Imaging using mmWave 5G Signals. 147–150. 14 indexed citations
13.
Vega, Augusto, et al.. (2019). Multi-Vehicle Map Fusion using GNU Radio. 4(1). 1 indexed citations
14.
Paidimarri, Arun, et al.. (2018). A −80dBm BLE-compliant, FSK wake-up receiver with system and within-bit dutycycling for scalable power and latency. DSpace@MIT (Massachusetts Institute of Technology). 1–4. 25 indexed citations
15.
Sadhu, Bodhisatwa, Arun Paidimarri, Mark Ferriss, et al.. (2018). A 128-element Dual-Polarized Software-Defined Phased Array Radio for mm-wave 5G Experimentation. 21–25. 13 indexed citations
16.
Paidimarri, Arun, et al.. (2017). A Random Linear Network Coding Accelerator in a 2.4GHz Transmitter for IoT Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 64(9). 2582–2590. 5 indexed citations
17.
Paidimarri, Arun & Anantha P. Chandrakasan. (2017). A Wide Dynamic Range Buck Converter With Sub-nW Quiescent Power. IEEE Journal of Solid-State Circuits. 52(12). 3119–3131. 30 indexed citations
18.
Paidimarri, Arun, Nathan Ickes, & Anantha P. Chandrakasan. (2015). A 0.68V 0.68mW 2.4GHz PLL for ultra-low power RF systems. 19 indexed citations
19.
Paidimarri, Arun, Phillip Nadeau, Patrick P. Mercier, & Anantha P. Chandrakasan. (2013). A 2.4 GHz Multi-Channel FBAR-based Transmitter With an Integrated Pulse-Shaping Power Amplifier. IEEE Journal of Solid-State Circuits. 48(4). 1042–1054. 37 indexed citations
20.
Nadeau, Phillip, Arun Paidimarri, Patrick P. Mercier, & Anantha P. Chandrakasan. (2012). Multi-channel 180pJ/b 2.4GHz FBAR-based receiver. 381–384. 11 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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