Akhil Dodda

1.3k total citations
14 papers, 875 citations indexed

About

Akhil Dodda is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Hardware and Architecture. According to data from OpenAlex, Akhil Dodda has authored 14 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Hardware and Architecture. Recurrent topics in Akhil Dodda's work include Advanced Memory and Neural Computing (7 papers), 2D Materials and Applications (4 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). Akhil Dodda is often cited by papers focused on Advanced Memory and Neural Computing (7 papers), 2D Materials and Applications (4 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). Akhil Dodda collaborates with scholars based in United States, India and Hong Kong. Akhil Dodda's co-authors include Saptarshi Das, Joan M. Redwing, Shiva Subbulakshmi Radhakrishnan, Nicholas Trainor, Aaryan Oberoi, Sarbashis Das, Andrew Pannone, Amritanand Sebastian, Mauricio Terrones and Thomas F. Schranghamer and has published in prestigious journals such as Nature Communications, Nature Materials and ACS Nano.

In The Last Decade

Akhil Dodda

14 papers receiving 868 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akhil Dodda United States 13 623 346 185 177 148 14 875
Shiva Subbulakshmi Radhakrishnan United States 10 565 0.9× 244 0.7× 182 1.0× 92 0.5× 120 0.8× 12 713
Kaichen Zhu China 16 810 1.3× 424 1.2× 210 1.1× 64 0.4× 113 0.8× 38 1000
Aaryan Oberoi United States 10 608 1.0× 366 1.1× 157 0.8× 40 0.2× 128 0.9× 11 822
Chung Lam United States 16 924 1.5× 477 1.4× 175 0.9× 99 0.6× 70 0.5× 48 1.1k
Liang Fang China 19 1.1k 1.8× 290 0.8× 220 1.2× 117 0.7× 149 1.0× 123 1.3k
Xi Jin China 11 525 0.8× 204 0.6× 94 0.5× 43 0.2× 66 0.4× 49 721
Thomas F. Schranghamer United States 12 495 0.8× 284 0.8× 144 0.8× 105 0.6× 107 0.7× 16 655
Lan Wei Canada 24 1.7k 2.7× 394 1.1× 304 1.6× 294 1.7× 243 1.6× 95 2.1k
Hongsik Jeong South Korea 15 728 1.2× 528 1.5× 48 0.3× 96 0.5× 80 0.5× 43 910
Chao Wen China 16 1.1k 1.8× 676 2.0× 239 1.3× 44 0.2× 163 1.1× 30 1.4k

Countries citing papers authored by Akhil Dodda

Since Specialization
Citations

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

Fields of papers citing papers by Akhil Dodda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akhil Dodda

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

All Works

14 of 14 papers shown
1.
Dodda, Akhil, Darsith Jayachandran, Shiva Subbulakshmi Radhakrishnan, et al.. (2022). Bioinspired and Low-Power 2D Machine Vision with Adaptive Machine Learning and Forgetting. ACS Nano. 16(12). 20010–20020. 41 indexed citations
2.
Dodda, Akhil, Darsith Jayachandran, Andrew Pannone, et al.. (2022). Active pixel sensor matrix based on monolayer MoS2 phototransistor array. Nature Materials. 21(12). 1379–1387. 157 indexed citations
3.
Radhakrishnan, Shiva Subbulakshmi, Akhil Dodda, & Saptarshi Das. (2022). An All-in-One Bioinspired Neural Network. ACS Nano. 16(12). 20100–20115. 25 indexed citations
4.
Dodda, Akhil, Nicholas Trainor, Joan M. Redwing, & Saptarshi Das. (2022). All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors. Nature Communications. 13(1). 3587–3587. 86 indexed citations
5.
Dodda, Akhil, et al.. (2021). Graphene-based physically unclonable functions that are reconfigurable and resilient to machine learning attacks. Nature Electronics. 4(5). 364–374. 122 indexed citations
6.
Oberoi, Aaryan, Akhil Dodda, He Liu, Mauricio Terrones, & Saptarshi Das. (2021). Secure Electronics Enabled by Atomically Thin and Photosensitive Two-Dimensional Memtransistors. ACS Nano. 15(12). 19815–19827. 59 indexed citations
7.
Dodda, Akhil & Saptarshi Das. (2021). Demonstration of Stochastic Resonance, Population Coding, and Population Voting Using Artificial MoS2 Based Synapses. ACS Nano. 15(10). 16172–16182. 15 indexed citations
8.
Grasseschi, Daniel, Akhil Dodda, Kazunori Fujisawa, et al.. (2020). Spontaneous chemical functionalization via coordination of Au single atoms on monolayer MoS 2. Science Advances. 6(49). 70 indexed citations
9.
Dodda, Akhil, Aaryan Oberoi, Amritanand Sebastian, et al.. (2020). Stochastic resonance in MoS2 photodetector. Nature Communications. 11(1). 4406–4406. 96 indexed citations
10.
Das, Sarbashis, Akhil Dodda, & Saptarshi Das. (2019). A biomimetic 2D transistor for audiomorphic computing. Nature Communications. 10(1). 3450–3450. 78 indexed citations
11.
Wali, Akshay, Akhil Dodda, Andrew Pannone, et al.. (2019). Biological physically unclonable function. Communications Physics. 2(1). 60 indexed citations
12.
Sebastian, Amritanand, Fu Zhang, Akhil Dodda, et al.. (2018). Electrochemical Polishing of Two-Dimensional Materials. ACS Nano. 13(1). 78–86. 41 indexed citations
13.
Dodda, Akhil, Akshay Wali, Andrew Pannone, et al.. (2018). Biological One‐Way Functions for Secure Key Generation. Advanced Theory and Simulations. 2(2). 12 indexed citations
14.
Huang, Yu-Ting, Akhil Dodda, Daniel S. Schulman, et al.. (2017). Anomalous Corrosion of Bulk Transition Metal Diselenides Leading to Stable Monolayers. ACS Applied Materials & Interfaces. 9(44). 39059–39068. 13 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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