Nicholas Trainor

1.7k total citations · 1 hit paper
25 papers, 1.0k citations indexed

About

Nicholas Trainor is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Nicholas Trainor has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 18 papers in Materials Chemistry and 4 papers in Artificial Intelligence. Recurrent topics in Nicholas Trainor's work include 2D Materials and Applications (17 papers), Advanced Memory and Neural Computing (10 papers) and Perovskite Materials and Applications (6 papers). Nicholas Trainor is often cited by papers focused on 2D Materials and Applications (17 papers), Advanced Memory and Neural Computing (10 papers) and Perovskite Materials and Applications (6 papers). Nicholas Trainor collaborates with scholars based in United States, South Korea and Saudi Arabia. Nicholas Trainor's co-authors include Joan M. Redwing, Saptarshi Das, Akhil Dodda, Darsith Jayachandran, Andrew Pannone, Saiphaneendra Bachu, Rahul Pendurthi, Amritanand Sebastian, Babak Anasori and Yury Gogotsi and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Nicholas Trainor

23 papers receiving 1.0k citations

Hit Papers

Three-dimensional integration of two-dimensional field-ef... 2024 2026 2025 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
Nicholas Trainor United States 13 683 627 216 84 71 25 1.0k
Andrew J. Arnold United States 9 661 1.0× 833 1.3× 191 0.9× 99 1.2× 59 0.8× 10 1.1k
Benjamin Grisafe United States 20 1.0k 1.5× 430 0.7× 117 0.5× 80 1.0× 84 1.2× 35 1.1k
Enxiu Wu China 20 864 1.3× 805 1.3× 247 1.1× 52 0.6× 37 0.5× 61 1.3k
Yongmo Park United States 10 576 0.8× 388 0.6× 120 0.6× 161 1.9× 73 1.0× 17 847
Yangbin Zhu China 16 770 1.1× 550 0.9× 216 1.0× 175 2.1× 75 1.1× 34 1.0k
Dongsheng Peng China 10 441 0.6× 406 0.6× 206 1.0× 112 1.3× 41 0.6× 30 858
Huiming Shang China 14 495 0.7× 497 0.8× 211 1.0× 45 0.5× 31 0.4× 16 753
Ertao Hu China 21 761 1.1× 532 0.8× 197 0.9× 116 1.4× 41 0.6× 78 1.1k

Countries citing papers authored by Nicholas Trainor

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Trainor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Trainor

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Trainor. A scholar is included among the top collaborators of Nicholas Trainor 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 Nicholas Trainor. Nicholas Trainor 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.
Song, Seunguk, Kwan‐Ho Kim, Nicholas Trainor, et al.. (2025). High Current and Carrier Densities in 2D MoS2/AlScN Field-Effect Transistors via Ferroelectric Gating and Ohmic Contacts. ACS Nano. 19(9). 8985–8996. 8 indexed citations
2.
Zhang, Xiaotian, Nicholas Trainor, Thomas V. Mc Knight, et al.. (2025). Metal–organic chemical vapour deposition for 2D chalcogenides. Nature Reviews Methods Primers. 5(1).
3.
Trainor, Nicholas, et al.. (2025). Influence of metal-induced doping on different 2D MoS2 epilayers for field effect transistors. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 44(1).
4.
Bachu, Saiphaneendra, Benjamin Huet, Steffi Y. Woo, et al.. (2024). Quantum Confined Luminescence in Two Dimensions. ACS Photonics. 12(1). 364–374. 3 indexed citations
5.
Lin, Yu‐Chuan, Chen Chen, Nicholas Trainor, et al.. (2024). Low-Frequency Raman Study of Large-Area Twisted Bilayers of WS2 Stacked by an Etchant-Free Transfer Method. ACS Applied Materials & Interfaces. 16(2). 2902–2911. 3 indexed citations
6.
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 →
7.
Kim, Kwan‐Ho, Seunguk Song, Bumho Kim, et al.. (2024). Tuning Polarity in WSe2/AlScN FeFETs via Contact Engineering. ACS Nano. 18(5). 4180–4188. 41 indexed citations
8.
Singh, Simrjit, Kwan‐Ho Kim, Kiyoung Jo, et al.. (2024). Nonvolatile Control of Valley Polarized Emission in 2D WSe2-AlScN Heterostructures. ACS Nano. 18(27). 17958–17968. 5 indexed citations
9.
Shen, Yaqing, Kaichen Zhu, Theresia Knobloch, et al.. (2024). Two-dimensional-materials-based transistors using hexagonal boron nitride dielectrics and metal gate electrodes with high cohesive energy. Nature Electronics. 7(10). 856–867. 14 indexed citations
10.
Schranghamer, Thomas F., Sergei P. Stepanoff, Nicholas Trainor, et al.. (2023). Ultra-scaled phototransistors based on monolayer MoS2. Device. 1(4). 100102–100102. 7 indexed citations
11.
Sayer, Thomas, Nicholas Trainor, Joan M. Redwing, et al.. (2023). Quantifying interfacial energetics of 2D semiconductor electrodes using in situ spectroelectrochemistry and many-body theory. Energy & Environmental Science. 16(10). 4522–4529. 5 indexed citations
12.
Ravichandran, Harikrishnan, Dipanjan Sen, Akshay Wali, et al.. (2023). A Peripheral-Free True Random Number Generator Based on Integrated Circuits Enabled by Atomically Thin Two-Dimensional Materials. ACS Nano. 17(17). 16817–16826. 9 indexed citations
13.
Sebastian, Amritanand, Rahul Pendurthi, Azimkhan Kozhakhmetov, et al.. (2022). Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks. Nature Communications. 13(1). 6139–6139. 40 indexed citations
14.
Ravichandran, Harikrishnan, et al.. (2022). A Monolithic Stochastic Computing Architecture for Energy Efficient Arithmetic. Advanced Materials. 35(2). e2206168–e2206168. 15 indexed citations
15.
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
16.
Kim, Gwangwoo, Pawan Kumar, Mahfujur Rahaman, et al.. (2022). High-Density, Localized Quantum Emitters in Strained 2D Semiconductors. ACS Nano. 16(6). 9651–9659. 40 indexed citations
17.
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
18.
Ravichandran, Harikrishnan, et al.. (2022). Hardware implementation of Bayesian network based on two-dimensional memtransistors. Nature Communications. 13(1). 5578–5578. 51 indexed citations
19.
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
20.
Chubarov, Mikhail, Tanushree H. Choudhury, Danielle Reifsnyder Hickey, et al.. (2021). Wafer-Scale Epitaxial Growth of Unidirectional WS2 Monolayers on Sapphire. ACS Nano. 15(2). 2532–2541. 193 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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