Amit Sharma

100 papers receiving 1.3k citations

Hit Papers

A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis 2023 · 118 citations
118201720262020202350100150200250

Peers

Amit Sharma
Comparison fields: 5 of 165
  • General Energy 20
  • General Social Sciences 32
  • Artificial Intelligence 282
  • Information Systems 171
  • Economics and Econometrics 204
Replace Meen Chul Kim with:
Meen Chul Kim United States
Norman P. Hummon United States
Irfan Ullah Khan Pakistan
Yan Su United States
Sarah Darby United Kingdom
Shengbo Liu China
Zhigang Hu China
David Pendlebury United States
Siming Chen China
Jianguo Wei China
Amit Sharma relative to Meen Chul Kim United States Meen Chul Kim's profile →
Citations per field
00.5×10×15×20×
Meen Chul Kim · 1×
Citations per year

Countries citing papers authored by Amit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Amit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amit Sharma, 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 Amit Sharma Line = papers co-authored together Amit Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 202413
4 20243
5 20246
6 20243
7 20242
8 202413
9 20235
10 202316
11 202313
12 20223
13 202120
14
Automated Plant Disease Detection and Diagnosis using Deep Learning, A Review
20201
15 202010
16
Tutorial on Causal Inference and Counterfactual Reasoning
20183
17
A Comparative Study on Motives of Online and Offline Banking Consumers: A Case Study of Udaipur City
20170
18
Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter
20160
19
Analysis of conscious awareness for natural colors
20130
20
Moderation of eco-friendly trends in Indian festival; Holi
20131

About Amit Sharma

Amit Sharma is a scholar working on General Energy, Artificial Intelligence, Applied Psychology, Statistical and Nonlinear Physics and Signal Processing, having authored 119 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Recommender Systems and Techniques (7 papers), Privacy-Preserving Technologies in Data (6 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Privacy, Security, and Data Protection (6 papers), Oil and Gas Production Techniques (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in General Energy (20 citations), General Social Sciences (32 citations), Artificial Intelligence (282 citations), Information Systems (171 citations) and Economics and Econometrics (204 citations). Amit Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Duncan J. Watts, Jake M. Hofman, Robert A. Schwartz, Gagandeep Kaur, Perry Sadorsky, Wasim Ahmad, Dan Cosley, Kenneth G. Swan, Michael D. Ekstrand and C K Janniger. Their work appears in journals such as Journal of Energy Storage, Journal of Ambient Intelligence and Humanized Computing, The American Surgeon, Scientific Reports and Renewable Energy.

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