Shweta Lamba

26 papers receiving 414 citations

Peers

Shweta Lamba
Comparison fields: 5 of 63
  • Plant Science 244
  • Analytical Chemistry 78
  • Artificial Intelligence 72
  • Computer Networks and Communications 69
  • Computer Vision and Pattern Recognition 47
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Citations per year

Countries citing papers authored by Shweta Lamba

Since Specialization
Citations

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

Fields of papers citing papers by Shweta Lamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shweta Lamba

This figure shows the co-authorship network connecting the top 25 collaborators of Shweta Lamba. A scholar is included among the top collaborators of Shweta Lamba 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 Shweta Lamba. Shweta Lamba 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 7
2 23
3 1
4 1
5 1
6 3
7 19
8 5
9 11
10 2
11 1
12 0
13 72
14 6
15 4
16 74
17 23
18 10
19 4
20 19

About Shweta Lamba

Shweta Lamba is a scholar working on Analytical Chemistry, Plant Science and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 426 indexed citations. Recurring topics across this work include Smart Agriculture and AI (16 papers), Spectroscopy and Chemometric Analyses (9 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Analytical Chemistry (78 citations), Plant Science (244 citations) and Health Information Management (24 citations). Shweta Lamba has collaborated with scholars based in India, South Korea and Lebanon. Frequent co-authors include Vinay Kukreja, Anupam Baliyan, Bhanu Sharma, Shalli Rani, Syed Hassan Ahmed, Avinash Sharma, Thippa Reddy Gadekallu, Jungeun Kim, Deepali Gupta and Junaid Rashid. Their work appears in journals such as Frontiers in Plant Science, Sustainability and International Journal of Information Technology.

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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