Pramod Kumar

447 citations
47 papers · 220 indexed · h-index 10
Topics
Smart Agriculture and AI (4 papers)Leaf Properties and Growth Measurement (3 papers)Spectroscopy and Chemometric Analyses (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Pramod Kumar

35 papers receiving 190 citations

Peers

Pramod Kumar
Comparison fields: 5 of 95
  • Plant Science 35
  • Molecular Biology 34
  • Computer Vision and Pattern Recognition 30
  • Immunology 21
  • Artificial Intelligence 18
Replace Jingjing Zhao with:
Jingjing Zhao China
Shaik Mahaboob Basha India
Cairong Wang China
Tingting Dong China
Yue Mi China
Abhishek Singh India
Xiaoqing Ma China
Teddy Suparyanto Indonesia
Pramod Kumar relative to Jingjing Zhao China Jingjing Zhao's profile →
Citations per field
00.5×10×
Jingjing Zhao · 1×
Citations per year

Countries citing papers authored by Pramod Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pramod Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramod Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pramod Kumar. A scholar is included among the top collaborators of Pramod Kumar 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 Pramod Kumar. Pramod Kumar 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 1
2 1
3 0
4 0
5 19
6 4
7 0
8 1
9 4
10 2
11 2
12 2
13 1
14 0
15 6
16 3
17
Removal of heavy metal ions using polydithiocarbamate resin supported on polystyrene
10
18
Adverse reactions to gentamicin
2
19 4
20 6

About Pramod Kumar

Pramod Kumar is a scholar working on Industrial and Manufacturing Engineering, Soil Science and Analytical Chemistry, having authored 47 papers that have together received 220 indexed citations. Recurring topics across this work include Smart Agriculture and AI (4 papers), Leaf Properties and Growth Measurement (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (30 citations), Soil Science (14 citations) and Media Technology (12 citations). Pramod Kumar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Abhay Bansal, Prabhishek Singh, Punnoth Poonkuzhi Naseef, Geetha Venkatachalam, Veena Choudhary, Prasun Kumar Roy, Kanika Solanki, Arbind Prasad, Alaknanda Ashok and S Ramakrishnan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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