Shankar Mali

583 total citations · 1 hit paper
18 papers, 335 citations indexed

About

Shankar Mali is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecology. According to data from OpenAlex, Shankar Mali has authored 18 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Ecology. Recurrent topics in Shankar Mali's work include Handwritten Text Recognition Techniques (10 papers), Remote Sensing in Agriculture (5 papers) and Vehicle License Plate Recognition (3 papers). Shankar Mali is often cited by papers focused on Handwritten Text Recognition Techniques (10 papers), Remote Sensing in Agriculture (5 papers) and Vehicle License Plate Recognition (3 papers). Shankar Mali collaborates with scholars based in India. Shankar Mali's co-authors include Chandrashekhar H. Patil, Amol D. Vibhute, Atiya Khan and Sharad D. Gore and has published in prestigious journals such as Ecological Informatics, Data in Brief and Applied Geomatics.

In The Last Decade

Shankar Mali

16 papers receiving 312 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.

A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications

2022 225 citations Atiya Khan, Amol D. Vibhute et al. Ecological Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shankar Mali India	6	95	90	86	83	65	18	335
Chandrashekhar H. Patil India	7	94 1.0×	89 1.0×	59 0.7×	83 1.0×	28 0.4×	20	337
Shuo Zhuang China	11	143 1.5×	46 0.5×	68 0.8×	97 1.2×	120 1.8×	25	398
Atiya Khan India	4	95 1.0×	91 1.0×	56 0.7×	70 0.8×	21 0.3×	11	272
Zhiyong Li China	11	136 1.4×	60 0.7×	112 1.3×	47 0.6×	63 1.0×	57	432
Zhihao Liu China	7	311 3.3×	91 1.0×	34 0.4×	62 0.7×	58 0.9×	15	474
Divya Meena Sundaram India	12	49 0.5×	32 0.4×	136 1.6×	77 0.9×	91 1.4×	37	359
Diogo Nunes Gonçalves Brazil	12	224 2.4×	80 0.9×	50 0.6×	181 2.2×	110 1.7×	22	515
Vijaya Musande India	9	87 0.9×	50 0.6×	119 1.4×	108 1.3×	59 0.9×	21	345
Khilola Amankulova Hungary	8	122 1.3×	61 0.7×	76 0.9×	142 1.7×	15 0.2×	10	320
Xiaomei Yi China	11	52 0.5×	45 0.5×	26 0.3×	41 0.5×	37 0.6×	40	306

Countries citing papers authored by Shankar Mali

Since Specialization

Citations

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

Fields of papers citing papers by Shankar Mali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankar Mali

This figure shows the co-authorship network connecting the top 25 collaborators of Shankar Mali. A scholar is included among the top collaborators of Shankar Mali 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 Shankar Mali. Shankar Mali 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:

18 of 18 papers shown

1.

Patil, Chandrashekhar H., et al.. (2025). Database Development and Recognition of Facial Expression using Deep Learning. International Journal of Computing. 1 indexed citations

2.

Patil, Chandrashekhar H., et al.. (2024). A Comprehensive Literature Review on Air-written OnlineHandwritten Recognition. International Journal of Computing and Digital Systems. 15(1). 307–322. 4 indexed citations

3.

Patil, Chandrashekhar H., et al.. (2024). An Air-Written Real-Time Multilingual Numeral String Recognition System Using Deep Convolutional Neural Networks. Journal of Computer Science. 20(12). 1712–1722.

4.

Khan, Atiya, Chandrashekhar H. Patil, Amol D. Vibhute, & Shankar Mali. (2024). Mapping Crop Types At a 10 m Scale Using Sentinel-2 Data and Machine Learning Methods. International Journal of Computing and Digital Systems. 15(1). 1745–1759. 1 indexed citations

5.

Vibhute, Amol D., et al.. (2023). Spatial and Seasonal Change Detection in Vegetation Cover Using Time-Series Landsat Satellite Images and Machine Learning Methods. SN Computer Science. 4(3). 7 indexed citations

6.

Patil, Chandrashekhar H., et al.. (2023). An online multilingual numeral dataset on Devnagari and English languages for pattern recognition research. Data in Brief. 51. 109743–109743. 1 indexed citations

7.

Khan, Atiya, Amol D. Vibhute, Chandrashekhar H. Patil, & Shankar Mali. (2023). Spectral Unmixing for End Member Extraction and Abundance Estimation. 653–658. 3 indexed citations

8.

Patil, Chandrashekhar H., et al.. (2023). Classification of Brahmi script characters using HOG features and multiclass error-correcting output codes (ECOC) model containing SVM binary learners. 448–451. 4 indexed citations

9.

Khan, Atiya, Amol D. Vibhute, Shankar Mali, & Chandrashekhar H. Patil. (2022). A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications. Ecological Informatics. 69. 101678–101678. 225 indexed citations breakdown →

10.

Patil, Chandrashekhar H., et al.. (2022). An IoT based Smart Medicine Dispenser Model for Healthcare. 391–395. 12 indexed citations

11.

Vibhute, Amol D., et al.. (2022). A review of agricultural drought assessment with remote sensing data: methods, issues, challenges and opportunities. Applied Geomatics. 15(1). 1–13. 30 indexed citations

12.

Mali, Shankar, et al.. (2022). Salient Features Selection Techniques for Instruction Detection in Mobile Ad Hoc Networks. Tehnički glasnik. 16(1). 40–46. 3 indexed citations

13.

Mali, Shankar, et al.. (2016). Handwritten Marathi Consonants Recognition using Multilevel Classification. 21–30. 1 indexed citations

14.

Mali, Shankar, et al.. (2015). Marathi Handwritten Numeral Recognition using Zernike Moments and Fourier Descriptors. 32–34. 2 indexed citations

15.

Mali, Shankar, et al.. (2015). Segmentation of Isolated Handwritten Marathi Words. 21–26.

16.

Mali, Shankar. (2013). Multiple Feature Extraction Methods for Handwritten Marathi Numeral Recognition. 2(10). 1 indexed citations

17.

Mali, Shankar, et al.. (2010). Marathi Handwritten Numeral Recognition using Fourier Descriptors and Normalized Chain Code. 141–145. 10 indexed citations

18.

Mali, Shankar, et al.. (2010). Fourier Descriptor based Isolated Marathi Handwritten Numeral Recognition. International Journal of Computer Applications. 3(4). 9–13. 30 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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