Gittaly Dhingra

426 total citations
9 papers, 281 citations indexed

About

Gittaly Dhingra is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gittaly Dhingra has authored 9 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 3 papers in Analytical Chemistry and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gittaly Dhingra's work include Smart Agriculture and AI (4 papers), Spectroscopy and Chemometric Analyses (3 papers) and Retinal Imaging and Analysis (2 papers). Gittaly Dhingra is often cited by papers focused on Smart Agriculture and AI (4 papers), Spectroscopy and Chemometric Analyses (3 papers) and Retinal Imaging and Analysis (2 papers). Gittaly Dhingra collaborates with scholars based in India. Gittaly Dhingra's co-authors include Hem Dutt Joshi, Vinay Kumar, Vinay Kumar, Vinay Kumar, Suman Lata Tripathi, Deepika Ghai, Nitin Kumar Saxena and Megha Gupta and has published in prestigious journals such as Chemometrics and Intelligent Laboratory Systems, Measurement and Multimedia Tools and Applications.

In The Last Decade

Gittaly Dhingra

8 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gittaly Dhingra India	5	251	134	38	17	11	9	281
C. K. Sunil India	6	309 1.2×	134 1.0×	50 1.3×	15 0.9×	16 1.5×	7	361
Malusi Sibiya South Africa	5	218 0.9×	106 0.8×	33 0.9×	9 0.5×	8 0.7×	15	268
Ramachandra Hebbar India	4	320 1.3×	120 0.9×	45 1.2×	13 0.8×	16 1.5×	9	356
Vibhor Kumar Vishnoi India	6	329 1.3×	140 1.0×	45 1.2×	30 1.8×	10 0.9×	6	379
Poornima Singh Thakur India	4	323 1.3×	129 1.0×	37 1.0×	16 0.9×	18 1.6×	8	357
Jihen Amara Tunisia	4	301 1.2×	123 0.9×	56 1.5×	16 0.9×	26 2.4×	5	341
Mehmet Metin Özgüven Türkiye	9	313 1.2×	119 0.9×	57 1.5×	32 1.9×	13 1.2×	28	378
Parul Sharma India	7	293 1.2×	81 0.6×	42 1.1×	14 0.8×	20 1.8×	23	401
Chowdhury Rafeed Rahman Bangladesh	5	356 1.4×	152 1.1×	45 1.2×	20 1.2×	23 2.1×	11	476
Fanfeng Meng China	4	435 1.7×	228 1.7×	69 1.8×	16 0.9×	19 1.7×	6	486

Countries citing papers authored by Gittaly Dhingra

Since Specialization

Citations

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

Fields of papers citing papers by Gittaly Dhingra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gittaly Dhingra

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

All Works

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9 of 9 papers shown

Ghai, Deepika, et al.. (2024). A comprehensive review on performance-based comparative analysis, categorization, classification and mapping of text extraction system techniques for images. Multimedia Tools and Applications. 84(5). 2327–2484.

Gupta, Megha, et al.. (2023). Human podiatric disabilities and their correction using a 3D printed technology: a short review. Elsevier eBooks. 175–194. 1 indexed citations

Kumar, Vinay, et al.. (2022). Machine learning based analysis of learner-centric teaching of punjabi grammar with multimedia tools in rural indian environment. Multimedia Tools and Applications. 81(28). 40775–40792. 1 indexed citations

Dhingra, Gittaly, Vinay Kumar, & Hem Dutt Joshi. (2021). Clustering-based shadow detection from images with texture and color analysis. Multimedia Tools and Applications. 80(25). 33763–33778. 6 indexed citations

Dhingra, Gittaly, Vinay Kumar, & Hem Dutt Joshi. (2020). Quality assessment of leaves quality using texture and DWT based local feature extraction analysis. Chemometrics and Intelligent Laboratory Systems. 208. 104195–104195. 3 indexed citations

Dhingra, Gittaly, Vinay Kumar, & Hem Dutt Joshi. (2019). A novel computer vision based neutrosophic approach for leaf disease identification and classification. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations

Dhingra, Gittaly, Vinay Kumar, & Hem Dutt Joshi. (2019). Basil leaves disease classification and identification by incorporating survival of fittest approach. Chemometrics and Intelligent Laboratory Systems. 186. 1–11. 7 indexed citations

Dhingra, Gittaly, Vinay Kumar, & Hem Dutt Joshi. (2018). A novel computer vision based neutrosophic approach for leaf disease identification and classification. Measurement. 135. 782–794. 94 indexed citations

Dhingra, Gittaly, Vinay Kumar, & Hem Dutt Joshi. (2017). Study of digital image processing techniques for leaf disease detection and classification. Multimedia Tools and Applications. 77(15). 19951–20000. 161 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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