Archana Saini

59 total papers · 400 total citations
42 papers, 257 citations indexed

About

Archana Saini is a scholar working on Plant Science, Analytical Chemistry and Artificial Intelligence. According to data from OpenAlex, Archana Saini has authored 42 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 9 papers in Analytical Chemistry and 7 papers in Artificial Intelligence. Recurrent topics in Archana Saini's work include Smart Agriculture and AI (19 papers), Spectroscopy and Chemometric Analyses (9 papers) and Leaf Properties and Growth Measurement (9 papers). Archana Saini is often cited by papers focused on Smart Agriculture and AI (19 papers), Spectroscopy and Chemometric Analyses (9 papers) and Leaf Properties and Growth Measurement (9 papers). Archana Saini collaborates with scholars based in India, United States and Nepal. Archana Saini's co-authors include Shagun Sharma, Kalpna Guleria, Sanjay Chhibber, F.E. Massoth, Sanjay Chhibber, Kusum Harjai, Sameer Sharma, Saroj Sharma, Rajpal Singh Punia and Renu Chadha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Molecular Structure and European Journal of Clinical Microbiology & Infectious Diseases.

In The Last Decade

Archana Saini

33 papers receiving 246 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Archana Saini 68 33 31 24 23 42 257
Pallavi Singh 78 1.1× 8 0.2× 20 0.6× 9 0.4× 9 0.4× 41 245
Jin Cao 44 0.6× 6 0.2× 11 0.4× 13 0.5× 42 1.8× 30 302
Debasish Pradhan 68 1.0× 4 0.1× 10 0.3× 9 0.4× 8 0.3× 57 316
Ruihao Liu 19 0.3× 14 0.4× 24 0.8× 8 0.3× 36 1.6× 29 273
Shan He 39 0.6× 20 0.6× 41 1.3× 6 0.3× 2 0.1× 45 297
Akanksha Akanksha 15 0.2× 49 1.5× 20 0.6× 5 0.2× 10 0.4× 39 272
Hágata Cremasco 37 0.5× 43 1.3× 28 0.9× 29 1.2× 10 0.4× 22 295
Luciane Effting 40 0.6× 28 0.8× 46 1.5× 26 1.1× 9 0.4× 27 318
Won Tae Jeong 51 0.8× 22 0.7× 5 0.2× 20 0.8× 4 0.2× 36 272
Yubo Han 41 0.6× 12 0.4× 4 0.1× 14 0.6× 38 1.7× 24 283

Countries citing papers authored by Archana Saini

Since Specialization
Citations

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

Fields of papers citing papers by Archana Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Saini

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

All Works

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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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