Darsith Jayachandran

1.0k total citations · 2 hit papers
8 papers, 730 citations indexed

About

Darsith Jayachandran is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Darsith Jayachandran has authored 8 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 2 papers in Biomedical Engineering. Recurrent topics in Darsith Jayachandran's work include Advanced Memory and Neural Computing (5 papers), 2D Materials and Applications (4 papers) and CCD and CMOS Imaging Sensors (2 papers). Darsith Jayachandran is often cited by papers focused on Advanced Memory and Neural Computing (5 papers), 2D Materials and Applications (4 papers) and CCD and CMOS Imaging Sensors (2 papers). Darsith Jayachandran collaborates with scholars based in United States and India. Darsith Jayachandran's co-authors include Saptarshi Das, Joan M. Redwing, Najam U Sakib, Nicholas Trainor, Andrew Pannone, Aaryan Oberoi, Balakrishnan Shankar, Tanushree H. Choudhury, Amritanand Sebastian and Rahul Pendurthi and has published in prestigious journals such as Nature, Nature Materials and ACS Nano.

In The Last Decade

Darsith Jayachandran

8 papers receiving 721 citations

Hit Papers

Three-dimensional integration of two-dimensional field-ef... 2024 2026 2025 2024 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darsith Jayachandran United States 8 540 367 140 101 60 8 730
Andrew Pannone United States 13 571 1.1× 329 0.9× 164 1.2× 123 1.2× 70 1.2× 20 789
Thomas F. Schranghamer United States 12 495 0.9× 284 0.8× 107 0.8× 144 1.4× 54 0.9× 16 655
Chi Liu China 8 398 0.7× 218 0.6× 97 0.7× 124 1.2× 73 1.2× 18 568
Minseong Park United States 12 368 0.7× 212 0.6× 116 0.8× 75 0.7× 79 1.3× 29 575
Jin Feng Leong Singapore 11 496 0.9× 290 0.8× 78 0.6× 100 1.0× 62 1.0× 17 604
Hangyu Xu China 9 426 0.8× 235 0.6× 83 0.6× 80 0.8× 73 1.2× 25 542
Rebecca Park United States 7 664 1.2× 379 1.0× 214 1.5× 101 1.0× 43 0.7× 8 883
Feng‐Shou Yang Taiwan 13 606 1.1× 386 1.1× 174 1.2× 134 1.3× 67 1.1× 19 782
Aaryan Oberoi United States 10 608 1.1× 366 1.0× 128 0.9× 157 1.6× 91 1.5× 11 822

Countries citing papers authored by Darsith Jayachandran

Since Specialization
Citations

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

Fields of papers citing papers by Darsith Jayachandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darsith Jayachandran

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

All Works

8 of 8 papers shown
1.
Jayachandran, Darsith, Rahul Pendurthi, Muhtasim Ul Karim Sadaf, et al.. (2024). Three-dimensional integration of two-dimensional field-effect transistors. Nature. 625(7994). 276–281. 169 indexed citations breakdown →
2.
Pendurthi, Rahul, Najam U Sakib, Muhtasim Ul Karim Sadaf, et al.. (2024). Monolithic three-dimensional integration of complementary two-dimensional field-effect transistors. Nature Nanotechnology. 19(7). 970–977. 67 indexed citations breakdown →
3.
Jayachandran, Darsith, Najam U Sakib, & Saptarshi Das. (2024). 3D integration of 2D electronics. 1(5). 300–316. 54 indexed citations
4.
Jayachandran, Darsith, et al.. (2022). Insect-Inspired, Spike-Based, in-Sensor, and Night-Time Collision Detector Based on Atomically Thin and Light-Sensitive Memtransistors. ACS Nano. 17(2). 1068–1080. 23 indexed citations
5.
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
6.
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
7.
Pendurthi, Rahul, Darsith Jayachandran, Azimkhan Kozhakhmetov, et al.. (2022). Heterogeneous Integration of Atomically Thin Semiconductors for Non‐von Neumann CMOS. Small. 18(33). e2202590–e2202590. 36 indexed citations
8.
Jayachandran, Darsith, Aaryan Oberoi, Amritanand Sebastian, et al.. (2020). A low-power biomimetic collision detector based on an in-memory molybdenum disulfide photodetector. Nature Electronics. 3(10). 646–655. 183 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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