Vanita Jain

2.1k total citations · 1 hit paper
88 papers, 1.2k citations indexed

About

Vanita Jain is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Vanita Jain has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 21 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Vanita Jain's work include Plant responses to elevated CO2 (16 papers), Plant nutrient uptake and metabolism (14 papers) and Atmospheric chemistry and aerosols (10 papers). Vanita Jain is often cited by papers focused on Plant responses to elevated CO2 (16 papers), Plant nutrient uptake and metabolism (14 papers) and Atmospheric chemistry and aerosols (10 papers). Vanita Jain collaborates with scholars based in India, United States and Belgium. Vanita Jain's co-authors include Achin Jain, Arun Kumar Dubey, Siddhartha Proteem Saikia, Steven C. Huber, Renu Pandey, Rajesh Kumar Pathak, Suneet Gupta, Parisa Rashidi, Neha Gupta and Jasjit S. Suri and has published in prestigious journals such as Scientific Reports, Biochemical Journal and Environmental Pollution.

In The Last Decade

Vanita Jain

79 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human activity recognition in artificial intelligence framework: a narrative review

2022 176 citations Neha Gupta, Suneet Gupta et al. Artificial Intelligence Review profile →

Peers

Vanita Jain

PS

CVPR

MB

AS

AI

Yufei Liu China

Qian Sun China

Bo Xu China

Mingyan Li China

Jian Huang United States

Rui Xu China

Xiaocheng Li United States

Masayuki Hirafuji Japan

Kaiyi Wang China

Yufei Liu China

Vanita Jain

550 ×1.0

PS

135 ×0.6

CVPR

110 ×0.7

MB

92 ×0.6

AS

98 ×0.7

AI

Citations per year, relative to Vanita Jain Vanita Jain (= 1×) peers Yufei Liu

Countries citing papers authored by Vanita Jain

Since Specialization

Citations

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

Fields of papers citing papers by Vanita Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanita Jain

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Panwar, Arvind, et al.. (2025). Enhancing Trust and Transparency in Education Using Blockchain: A Hyperledger Fabric-Based Framework.

2.

Kumar, Ashish, et al.. (2025). Enhancing security systems: human activity recognition using transfer learning model. International Journal of Information Technology. 17(5). 2927–2939.

3.

Jain, Vanita, et al.. (2024). PVSyst enabled real time evaluation of grid connected solar photovoltaic system. International Journal of Information Technology. 16(2). 745–752. 19 indexed citations

4.

Jain, Vanita, et al.. (2023). Major Determinants of Bank Profitability in India: A Machine Learning Approach. Global Business Review. 3 indexed citations

5.

Gupta, Neha, Suneet Gupta, Rajesh Kumar Pathak, et al.. (2022). Human activity recognition in artificial intelligence framework: a narrative review. Artificial Intelligence Review. 55(6). 4755–4808. 176 indexed citations breakdown →

6.

Jain, Vanita, et al.. (2021). American Sign Language recognition using Support Vector Machine and Convolutional Neural Network. International Journal of Information Technology. 13(3). 1193–1200. 32 indexed citations

7.

Jain, Vanita, et al.. (2021). Numerical solution of optimal control problem. Soft Computing. 27(6). 3389–3401. 1 indexed citations

8.

Jain, Vanita, et al.. (2021). A Comprehensive Review on Design of Autonomous Robotic Boat for Rescue Applications. Mathematical Problems in Engineering. 2021. 1–17. 2 indexed citations

9.

Jain, Vanita, et al.. (2020). Temperature invariant and high precision absolute rotary encoder using photocells on visible light spectrum. International Journal of Information Technology. 12(4). 1403–1409. 1 indexed citations

10.

Jain, Vanita. (2017). Perspective analysis of telecommunication fraud detection using data stream analytics and neural network classification based data mining. International Journal of Information Technology. 9(3). 303–310. 18 indexed citations

11.

Jain, Vanita, et al.. (2016). Impact of climate change on medicinal and aromatic plants: Review. The Indian Journal of Agricultural Sciences. 86(11). 21 indexed citations

12.

Jain, Vanita, et al.. (2016). Comparative analysis of machine learning algorithms in OCR. International Conference on Computing for Sustainable Global Development. 1089–1092. 4 indexed citations

13.

Dubey, Arun Kumar, Vanita Jain, & A.P. Mittal. (2015). Stock market prediction using Hadoop Map-Reduce ecosystem. International Conference on Computing for Sustainable Global Development. 616–621. 10 indexed citations

14.

Jain, Vanita, et al.. (2009). EFFECT OF ELEVATED CARBON DIOXIDE ON KINETICS OF NITRATE UPTAKE IN WHEAT ROOTS. Indian Journal of Plant Physiology. 14(1). 16–22. 16 indexed citations

15.

Saikia, Siddhartha Proteem & Vanita Jain. (2007). Biological nitrogen fixation with non-legumes : An achievable target or a dogma?. Current Science. 29(3). 317–322. 68 indexed citations

16.

Gupta, Sachin, et al.. (2006). Studies on Carving Quality of some Indian Timbers. Indian Forester. 132(8). 1019–1023. 1 indexed citations

17.

Pal, Madan, Liqun Rao, Ashish Srivastava, Vanita Jain, & Urmi Sengupta. (2003). Impact of CO<sub>2</sub> Enrichment and Variable Nitrogen Supplies on Composition and Partitioning of Essential Nutrients of Wheat. Biologia Plantarum. 46(2). 227–231. 16 indexed citations

18.

Uprety, Dinesh Chandra, et al.. (2002). Effect of Elevated Carbon Dioxide Concentration on the Stomatal Parameters of Rice Cultivars. Photosynthetica. 40(2). 315–319. 46 indexed citations

19.

Jain, Vanita, Madan Pal, K. C. Lakkineni, & Y. P. Abrol. (1999). Photosynthetic Characteristics in Two Wheat Genotypes as Affected by Nitrogen Nutrition. Biologia Plantarum. 42(2). 217–222. 10 indexed citations

20.

Abrol, Y. P., et al.. (1999). Improvement in nitrogen use efficiency: physiological and molecular approacheses. Current Science. 76(10). 1357–1364. 31 indexed citations

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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