Sanjay Sharma

1.1k total citations · 1 hit paper
19 papers, 766 citations indexed

About

Sanjay Sharma is a scholar working on Environmental Engineering, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sanjay Sharma has authored 19 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 6 papers in Global and Planetary Change and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sanjay Sharma's work include COVID-19 impact on air quality (6 papers), Air Quality Monitoring and Forecasting (6 papers) and Air Quality and Health Impacts (5 papers). Sanjay Sharma is often cited by papers focused on COVID-19 impact on air quality (6 papers), Air Quality Monitoring and Forecasting (6 papers) and Air Quality and Health Impacts (5 papers). Sanjay Sharma collaborates with scholars based in India and United States. Sanjay Sharma's co-authors include Hynek Heřmanský, Dan Ellis, Prachi Jain, Daniel P. W. Ellis, Sachin Kajarekar, Si Zheng, A. Pant, Baoqiang Cong, Mamta Bansal and Varinder S. Kanwar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Asian Journal of Pharmaceutics and International Journal of Information Technology.

In The Last Decade

Sanjay Sharma

15 papers receiving 651 citations

Hit Papers

Tandem connectionist feature extraction for conventional ... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers

Sanjay Sharma
Comparison fields: 5 of 56
  • Artificial Intelligence 636
  • Signal Processing 598
  • Computer Vision and Pattern Recognition 81
  • Environmental Engineering 32
  • Experimental and Cognitive Psychology 29
Replace Chunlei Zhang with:
Chunlei Zhang United States
Michael Pitz Germany
Ivan Magrin‐Chagnolleau France
Débora Corrêa Australia
Meet Soni India
Wei-Cheng Tseng Taiwan
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Sunil Sivadas Singapore
Nobukatsu Hojo Japan
Chunlei Zhang United States View profile →
Citations per field, relative to Sanjay Sharma
Sanjay Sharma · 1×
Citations per year, relative to Sanjay Sharma
Sanjay Sharma · 1×

Countries citing papers authored by Sanjay Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Sharma

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 10
3 5
4 1
5 0
6 2
7 0
8 5
9 2
10 13
11 2
12 0
13 1
14 1
15 2
16 14
17
Tandem connectionist feature extraction for conventional HMM systems breakdown →
531
18 47
19 128

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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