Abhi Saxena

792 citations
16 papers · 522 indexed · 1 hit paper · h-index 9
Topics
Photonic and Optical Devices (8 papers)Strong Light-Matter Interactions (6 papers)Neural Networks and Reservoir Computing (5 papers)
Partner nations
United StatesItalyIndia

In The Last Decade

Abhi Saxena

15 papers receiving 494 citations

Hit Papers

Ultra-low-energy programmable non-volatile silicon photon...2022202620232024202250100150

Peers

Abhi Saxena
Comparison fields: 5 of 31
  • Electrical and Electronic Engineering 401
  • Materials Chemistry 233
  • Artificial Intelligence 218
  • Atomic and Molecular Physics, and Optics 136
  • Biomedical Engineering 94
Replace Daniel Lawson with:
Daniel Lawson United Kingdom
Nikolaos Farmakidis United Kingdom
Emanuele Gemo United Kingdom
Michael Moebius United States
Xingzhao Yan United Kingdom
Joaquín Faneca United Kingdom
James Whitehead United States
Dun Mao United States
Cosmin‐Constantin Popescu United States
Rubab Amin United States
Abhi Saxena relative to Daniel Lawson United Kingdom Daniel Lawson's profile →
Citations per field
00.5×1.5×1.9×
Daniel Lawson · 1×
Citations per year

Countries citing papers authored by Abhi Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Abhi Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhi Saxena

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 6
2 6
3 8
4 84
5 1
6 0
7
Ultra-low-energy programmable non-volatile silicon photonics based on phase-change materials with graphene heatersbreakdown →
176
8 12
9 12
10 2
11 14
12 124
13 3
14 53
15 19
16 2

About Abhi Saxena

Abhi Saxena is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 16 papers that have together received 522 indexed citations. Recurring topics across this work include Photonic and Optical Devices (8 papers), Strong Light-Matter Interactions (6 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (7 citations), Electrical and Electronic Engineering (401 citations) and Artificial Intelligence (218 citations). Abhi Saxena has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Arka Majumdar, Zhuoran Fang, Jiajiu Zheng, Yueyang Chen, James Whitehead, Rui Chen, Sarah Geiger, Michael Moebius, Eric Pop and Kathryn M. Neilson. Their work appears in journals such as Nature Communications, Nano Letters and Nature Nanotechnology.

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