Siddharth Gaba

3.6k citations
18 papers · 2.9k indexed · 2 hit papers · h-index 13

Impact in

Papers in

Siddharth Gaba

18 papers receiving 2.9k citations

Hit Papers

Observation of conducting filament growth in nanoscale resistive memories 2012 · 987 citations
9872011202620162021250500750

Peers

Siddharth Gaba
Comparison fields: 5 of 48
  • Cellular and Molecular Neuroscience 1.4k
  • Electrical and Electronic Engineering 2.9k
  • Polymers and Plastics 512
  • Cognitive Neuroscience 529
  • Hardware and Architecture 80
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Citations per field
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Citations per year

Countries citing papers authored by Siddharth Gaba

Since Specialization
Citations

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

Fields of papers citing papers by Siddharth Gaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siddharth Gaba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siddharth Gaba Line = papers co-authored together Siddharth Gaba links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2016102
2 201512
3 201547
4 201435
5 201451
6 20144
7 2013243
8
Observation of conducting filament growth in nanoscale resistive memories
Hit paper breakdown →
2012987
9 20122
10 201161
11 201176
12 2011339
13 20112
14
A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications
Hit paper breakdown →
2011727
15 201183
16 2010140
17 201026
18
Experimental, modeling and simulation studies of nanoscale resistance switching devices
20092

About Siddharth Gaba

Siddharth Gaba is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Polymers and Plastics and Materials Chemistry, having authored 18 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Neuroscience and Neural Engineering (7 papers), Semiconductor materials and devices (6 papers), Neural dynamics and brain function (4 papers), CCD and CMOS Imaging Sensors (2 papers), Transition Metal Oxide Nanomaterials (2 papers) and Electronic and Structural Properties of Oxides (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Electrical and Electronic Engineering (2.9k citations), Polymers and Plastics (512 citations), Cognitive Neuroscience (529 citations) and Hardware and Architecture (80 citations). Siddharth Gaba has collaborated with scholars based in United States and China. Frequent co-authors include Wei Lü, Ting‐Chang Chang, Yuchao Yang, Peng Gao, Xiaoqing Pan, Sungho Kim, Patrick Sheridan, T. Hussain, Dana Wheeler and Narayan Srinivasa. Their work appears in journals such as Nanoscale, IEEE Electron Device Letters, Nano Letters, ACM Journal on Emerging Technologies in Computing Systems and Applied Physics Letters.

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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