Jyoti Rawat

1.3k total citations
37 papers, 761 citations indexed

About

Jyoti Rawat is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Jyoti Rawat has authored 37 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 14 papers in Plant Science. Recurrent topics in Jyoti Rawat's work include Digital Imaging for Blood Diseases (13 papers), AI in cancer detection (12 papers) and Cell Image Analysis Techniques (7 papers). Jyoti Rawat is often cited by papers focused on Digital Imaging for Blood Diseases (13 papers), AI in cancer detection (12 papers) and Cell Image Analysis Techniques (7 papers). Jyoti Rawat collaborates with scholars based in India, Nepal and Saudi Arabia. Jyoti Rawat's co-authors include Annapurna Singh, Jitendra Virmani, H.S. Bhadauria, Indrajeet Kumar, Noor Mohd, Manoj Kumar, Bhupendra Singh, Abhilasha Singh, Prateek Jain and Ram K. Agrawal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientia Horticulturae and Multimedia Tools and Applications.

In The Last Decade

Jyoti Rawat

36 papers receiving 714 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jyoti Rawat India 13 350 269 213 143 90 37 761
Andrea Loddo Italy 13 287 0.8× 176 0.7× 169 0.8× 142 1.0× 68 0.8× 39 622
Eros Comunello Brazil 13 138 0.4× 89 0.3× 109 0.5× 54 0.4× 26 0.3× 49 686
Shiva Mehta India 21 139 0.4× 273 1.0× 548 2.6× 61 0.4× 7 0.1× 231 1.4k
Sifat Momen Bangladesh 12 183 0.5× 221 0.8× 226 1.1× 35 0.2× 20 0.2× 42 717
Ernest Mwebaze Uganda 11 104 0.3× 98 0.4× 155 0.7× 32 0.2× 14 0.2× 28 431
Jatinder Manhas India 12 69 0.2× 186 0.7× 66 0.3× 103 0.7× 56 0.6× 32 475
María Isabel López Spain 22 355 1.0× 54 0.2× 21 0.1× 787 5.5× 73 0.8× 57 1.5k
Wiharto Wiharto Indonesia 14 136 0.4× 178 0.7× 44 0.2× 97 0.7× 9 0.1× 54 501
Ersin Elbaşı Kuwait 14 364 1.0× 175 0.7× 133 0.6× 94 0.7× 3 0.0× 64 977
Esti Suryani Indonesia 11 155 0.4× 121 0.4× 46 0.2× 79 0.6× 10 0.1× 73 362

Countries citing papers authored by Jyoti Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti Rawat. A scholar is included among the top collaborators of Jyoti Rawat 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 Jyoti Rawat. Jyoti Rawat 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
1.
Rawat, Jyoti, et al.. (2024). Green synthesis of agro-waste–derived potassium-doped graphene oxide for antimicrobial activity. SHILAP Revista de lepidopterología. 10. 100119–100119. 1 indexed citations
2.
Kumar, Indrajeet & Jyoti Rawat. (2024). Segmentation and classification of white blood SMEAR images using modified CNN architecture. SHILAP Revista de lepidopterología. 6(11). 1 indexed citations
3.
4.
Kumar, Indrajeet, et al.. (2021). Opportunities of Artificial Intelligence and Machine Learning in the Food Industry. Journal of Food Quality. 2021. 1–10. 153 indexed citations
5.
Rawat, Jyoti. (2020). Recommendations for Preventive Pediatric Health Care. Journal of Pediatric Neurology. 5(2). 1–1. 71 indexed citations
6.
Rawat, Jyoti, et al.. (2020). Determination of Physico-chemical Properties of Aonla (Emblica officinalis Gaerth) Fruits among Different Populations in Garhwal Himalaya. International Journal of Fruit Science. 20(sup3). S1579–S1589. 9 indexed citations
7.
Rawat, Jyoti, et al.. (2020). SSR Markers Based Genetic Diversity in Nepalese Maize Landraces. SAARC Journal of Agriculture. 18(1). 23–37. 5 indexed citations
8.
9.
Singh, Bhupendra, et al.. (2017). Influence of sowing depth and orientation on germination and seedling emergence of Cinnamomum tamala Nees. Journal of Environmental Biology. 38(2). 271–276. 8 indexed citations
10.
Rawat, Jyoti, et al.. (2017). Leukocyte Classification using Adaptive Neuro-Fuzzy Inference System in Microscopic Blood Images. Arabian Journal for Science and Engineering. 43(12). 7041–7058. 17 indexed citations
11.
Rawat, Jyoti, et al.. (2017). Classification of acute lymphoblastic leukaemia using hybrid hierarchical classifiers. Multimedia Tools and Applications. 76(18). 19057–19085. 82 indexed citations
12.
Rawat, Jyoti, H.S. Bhadauria, Annapurna Singh, & Jitendra Virmani. (2015). Review of leukocyte classification techniques for microscopic blood images. International Conference on Computing for Sustainable Global Development. 1948–1954. 20 indexed citations
13.
Rawat, Jyoti, Abhilasha Singh, & H.S. Bhadauria. (2014). An approach for leukocytes nuclei segmentation based on image fusion. 456–461. 13 indexed citations
14.
Kumar, Indrajeet, H.S. Bhadauria, Jitendra Virmani, & Jyoti Rawat. (2014). Reduction of speckle noise from medical images using principal component analysis image fusion. 1–6. 10 indexed citations
15.
Singh, Karan, et al.. (2013). Effect of IBA and NAA concentrations on rooting in stem cuttings of night queen (Cestrum nocturnum L) under sub-tropical valley conditions.. HortFlora research spectrum. 2(1). 81–83. 5 indexed citations
16.
Singh, Manjit, et al.. (2011). Effect of GA 3 and kinetin on growth, yield and quality of sprouting broccoli ( Brassica oleracea var. italica). Journal of Horticulture and Forestry. 3(9). 282–285. 12 indexed citations
17.
Ahmad, Shabbir, et al.. (2010). Physico-chemical studies of some aonla (Emblica officinalis) cultivars.. Advances in plant sciences. 23(1). 129–130. 1 indexed citations
18.
Rawat, Jyoti, et al.. (2009). EFFEECT OF PRETREATMENTS ONMYRICA ESCULENTAD.DON (KAPHAL) SEED GERMINATION AND SEEDLING PERFOMANCE. Forests Trees and Livelihoods. 19(2). 193–197. 2 indexed citations
19.
Rawat, Jyoti, et al.. (2008). Effect of Stratification on Seed Germination and Seedling Performance of Wild Pomegranate. 8(1). 15–16. 16 indexed citations
20.
Rawat, Jyoti, et al.. (2003). Chemical control of cone worm, Dioryctria abietella, infesting cones of silver fir (Abies pindrow) by systemic insecticides. Indian Forester. 129(3). 401–406. 5 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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