Sapan Agarwal

5.2k citations
89 papers · 4.2k indexed · 3 hit papers · h-index 22
Topics
Advanced Memory and Neural Computing (54 papers)Semiconductor materials and devices (42 papers)Ferroelectric and Negative Capacitance Devices (38 papers)

In The Last Decade

Sapan Agarwal

78 papers receiving 4.1k citations

Hit Papers

A non-volatile organic electrochemical device as a low-vo...20162026201920222017201920164008001.2k

Peers

Sapan Agarwal
Comparison fields: 5 of 74
  • Electrical and Electronic Engineering 3.8k
  • Cellular and Molecular Neuroscience 1.4k
  • Polymers and Plastics 1.1k
  • Artificial Intelligence 594
  • Materials Chemistry 548
Replace Matthew Marinella with:
Matthew Marinella United States
Jiewei Chen Hong Kong
Kyung Min Kim South Korea
Yi Ren China
Doo Seok Jeong South Korea
Elliot J. Fuller United States
Feichi Zhou China
Qingqing Sun China
Jinfeng Kang China
Changhwan Choi South Korea
Sapan Agarwal relative to Matthew Marinella United States Matthew Marinella's profile →
Citations per field
00.5×
Matthew Marinella · 1×
Citations per year

Countries citing papers authored by Sapan Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sapan Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sapan Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Sapan Agarwal. A scholar is included among the top collaborators of Sapan Agarwal 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 Sapan Agarwal. Sapan Agarwal 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
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 7
6 1
7 3
8 3
9 1
10 17
11 7
12 6
13 7
14 137
15 94
16 32
17 21
18
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computingbreakdown →
598
19 14
20 11

About Sapan Agarwal

Sapan Agarwal is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Bioengineering, having authored 89 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (54 papers), Semiconductor materials and devices (42 papers) and Ferroelectric and Negative Capacitance Devices (38 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Cellular and Molecular Neuroscience (1.4k citations) and Electrical and Electronic Engineering (3.8k citations). Sapan Agarwal has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Matthew Marinella, Elliot J. Fuller, A. Alec Talin, Scott T. Keene, Alberto Salleo, Yoeri van de Burgt, Gregório Couto Faria, Conrad D. James, Steven J. Plimpton and Robin Jacobs-Gedrim. Their work appears in journals such as Science, Advanced Materials and Nature Materials.

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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