Munish Kumar

8.8k total citations · 3 hit papers
197 papers, 5.6k citations indexed

About

Munish Kumar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Munish Kumar has authored 197 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Computer Vision and Pattern Recognition, 62 papers in Media Technology and 34 papers in Artificial Intelligence. Recurrent topics in Munish Kumar's work include Handwritten Text Recognition Techniques (71 papers), Vehicle License Plate Recognition (54 papers) and Image Processing and 3D Reconstruction (26 papers). Munish Kumar is often cited by papers focused on Handwritten Text Recognition Techniques (71 papers), Vehicle License Plate Recognition (54 papers) and Image Processing and 3D Reconstruction (26 papers). Munish Kumar collaborates with scholars based in India, United States and Pakistan. Munish Kumar's co-authors include Shaveta Dargan, Maruthi Rohit Ayyagari, Gulshan Kumar, M. K. Jindal, Monika Bansal, Krishan Kumar, Naresh Kumar Garg, Surbhi Gupta, Monika Sachdeva and Amandeep Kaur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Expert Systems with Applications.

In The Last Decade

Munish Kumar

177 papers receiving 5.2k 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 Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning

2019 794 citations Munish Kumar et al. profile →
Transfer learning for image classification using VGG19: Caltech-101 image data set

2021 223 citations Munish Kumar, Monika Sachdeva et al. profile →
Self-supervised Learning: A Succinct Review

2023 120 citations Veenu Rani, Munish Kumar et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Munish Kumar India	38	2.9k	1.2k	925	649	425	197	5.6k
Anastasios Doulamis Greece	31	2.4k 0.8×	1.2k 1.0×	999 1.1×	493 0.8×	212 0.5×	225	6.3k
Song Wang United States	39	4.5k 1.6×	1.4k 1.1×	719 0.8×	301 0.5×	578 1.4×	334	8.2k
George Bebis United States	41	4.7k 1.6×	1.2k 1.0×	919 1.0×	785 1.2×	258 0.6×	194	6.9k
Imran Razzak Australia	40	2.0k 0.7×	2.4k 1.9×	745 0.8×	451 0.7×	688 1.6×	235	5.7k
Xin Ning China	38	2.1k 0.7×	1.2k 1.0×	375 0.4×	269 0.4×	525 1.2×	168	4.3k
Min Xu China	44	3.0k 1.0×	1.4k 1.1×	479 0.5×	985 1.5×	601 1.4×	467	8.4k
Loris Nanni Italy	45	3.0k 1.0×	1.7k 1.4×	551 0.6×	1.5k 2.3×	726 1.7×	260	7.3k
Muhammad Sajjad South Korea	36	2.8k 1.0×	1.5k 1.3×	273 0.3×	477 0.7×	276 0.6×	116	5.0k
Borko Furht United States	28	2.5k 0.9×	1.0k 0.8×	283 0.3×	495 0.8×	388 0.9×	160	5.0k
Marcin Woźniak Poland	48	2.1k 0.7×	2.1k 1.7×	410 0.4×	409 0.6×	755 1.8×	273	7.2k

Countries citing papers authored by Munish Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Munish Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munish Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Munish Kumar. A scholar is included among the top collaborators of Munish Kumar 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 Munish Kumar. Munish Kumar 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.

Kumar, Munish, et al.. (2024). A Comparative Analysis of Grape Plant Leaf Disease Detection - Methods and Challenges. 1–6. 2 indexed citations

2.

Kumar, Munish, et al.. (2024). Next-Generation Smart Homes: An IoT Approach to Home Automation and User Experience. 1–6.

3.

Verma, Rashmi, et al.. (2024). Deep Neural Network Model for Improved DDoS Attack Detection in Cloud Environments. 1–6. 6 indexed citations

4.

Kumar, Munish, et al.. (2024). Knowledge Navigator – Guiding You Through Your Learning Journey Using AI. 309–316.

5.

Kumar, Sandeep, et al.. (2024). Comparative Analysis of Different Machine Learning Models with Different Phishing Datasets. 112–118. 1 indexed citations

6.

Rani, Veenu, Munish Kumar, Aastha Gupta, et al.. (2024). Self-supervised learning for medical image analysis: a comprehensive review. Evolving Systems. 15(4). 1607–1633. 17 indexed citations

7.

Kumar, Munish, et al.. (2024). Bridging the gap between AI and human emotion: a multimodal recognition system. Control and Cybernetics. 53(4). 619–638.

8.

Kumar, Munish, et al.. (2024). A Review on Pharmacist Impact on patient safety. Asian Journal of Pharmacy and Technology. 87–94. 1 indexed citations

9.

Kumar, Munish, et al.. (2023). Low molarity geopolymer concrete: Effects on compressive strength, elastic modulus, sorptivity and chloride migration. Construction and Building Materials. 409. 134065–134065. 11 indexed citations

10.

Prasanna, J., Chella Santhosh, Munish Kumar, & K. Gayathri. (2023). IoT based automatic fuel level montoring system for automobiles. IET conference proceedings.. 2023(5). 56–61. 1 indexed citations

11.

Sethi, Monika, Munish Kumar, & M. K. Jindal. (2023). Gender prediction system through behavioral biometric handwriting: a comprehensive review. Soft Computing. 27(10). 6307–6327. 4 indexed citations

12.

Jindal, M. K., et al.. (2023). An efficient technique for breaking of coloured Hindi CAPTCHA. Soft Computing. 27(16). 11661–11686. 10 indexed citations

13.

Kumar, Sandeep, et al.. (2023). Advancing Facial Recognition: Enhanced Model with Improved Deepface Algorithm for Robust Adaptability in Diverse Scenarios. 1. 1384–1389.

14.

Kumar, Munish, et al.. (2022). Detection of Depression Using Machine Learning Algorithms. International Journal of Online and Biomedical Engineering (iJOE). 18(4). 155–163. 4 indexed citations

15.

Kapoor, Kanika, et al.. (2021). Hybrid local phase quantization and grey wolf optimization based SVM for finger vein recognition. Multimedia Tools and Applications. 80(10). 15233–15271. 40 indexed citations

16.

Kumar, Munish, et al.. (2021). Implementation of Segment Routing-Traffic Engineering over MPLS. 1–5. 2 indexed citations

17.

Jindal, Manish Kumar, et al.. (2019). Drop flow method: an iterative algorithm for complete segmentation of Devanagari ancient manuscripts. Multimedia Tools and Applications. 78(16). 23255–23280. 9 indexed citations

18.

Kaur, Rupinder, et al.. (2018). Zone Segmentation of a Text Line Printed in Gurmukhi Script Newspaper. 51. 330–334. 2 indexed citations

19.

Kumar, Munish, et al.. (2016). Object detection using multiple shape-based features. 3. 433–437. 3 indexed citations

20.

Kumar, Munish, et al.. (2012). Text Line Segmentation of Handwritten Documents using Clustering Method based on Thresholding Approach. The Medical Journal of Australia. 192(1). 9–12. 7 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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