Dharmendra Saraswat

1.8k citations
36 papers · 1.3k indexed · 1 hit paper · h-index 18
Topics
Smart Agriculture and AI (14 papers)Hydrology and Watershed Management Studies (12 papers)Plant Disease Management Techniques (8 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessRemote Sensing

In The Last Decade

Dharmendra Saraswat

32 papers receiving 1.2k citations

Hit Papers

A survey on using deep learning techniques for plant dise...2022202620232024202250100150

Peers

Dharmendra Saraswat
Comparison fields: 5 of 86
  • Plant Science 595
  • Water Science and Technology 411
  • Global and Planetary Change 261
  • Soil Science 196
  • Ecology 177
Replace Qi Yang with:
Qi Yang China
Amy L. Kaleita United States
Anton Thomsen Denmark
Ruixiu Sui United States
Wang Zhou United States
R. M. Patel Canada
Travis J. Esau Canada
Nithya Rajan United States
R. Troy Peters United States
Jianqiang Ren China
Dharmendra Saraswat relative to Qi Yang China Qi Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dharmendra Saraswat

Since Specialization
Citations

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

Fields of papers citing papers by Dharmendra Saraswat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dharmendra Saraswat

This figure shows the co-authorship network connecting the top 25 collaborators of Dharmendra Saraswat. A scholar is included among the top collaborators of Dharmendra Saraswat 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 Dharmendra Saraswat. Dharmendra Saraswat 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 1
4 5
5 52
6
A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate toolsbreakdown →
193
7 8
8 0
9 78
10 33
11 3
12 7
13 10
14 9
15 20
16 180
17 28
18 59
19 24
20 21

About Dharmendra Saraswat

Dharmendra Saraswat is a scholar working on Water Science and Technology, Environmental Chemistry and Environmental Engineering, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (14 papers), Hydrology and Watershed Management Studies (12 papers) and Plant Disease Management Techniques (8 papers). The work is most often cited by research in Water Science and Technology (411 citations), Soil Science (196 citations) and Analytical Chemistry (160 citations). Dharmendra Saraswat has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Aanis Ahmad, Aly El Gamal, Naresh Pai, Varun Aggarwal, Rebecca W. Zeckoski, Kyle R. Douglas‐Mankin, Prasad Daggupati, Prem B. Parajuli, Jaehak Jeong and Srinivasulu Ale. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Remote Sensing.

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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