Ajay Kaul

1.2k total citations
22 papers, 848 citations indexed

About

Ajay Kaul is a scholar working on Media Technology, Computer Networks and Communications and Plant Science. According to data from OpenAlex, Ajay Kaul has authored 22 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Media Technology, 7 papers in Computer Networks and Communications and 6 papers in Plant Science. Recurrent topics in Ajay Kaul's work include Remote-Sensing Image Classification (7 papers), Smart Agriculture and AI (6 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). Ajay Kaul is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Smart Agriculture and AI (6 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). Ajay Kaul collaborates with scholars based in India and United States. Ajay Kaul's co-authors include Siddharth Singh Chouhan, Uday Pratap Singh, Sparsh Sharma, Sanjeev Jain, Surbhi Sharma, Suhaib Ahmed, Monika Sharma, Baijnath Kaushik, Monika Sharma and Mohd Naseem and has published in prestigious journals such as IEEE Access, Multimedia Tools and Applications and Archives of Computational Methods in Engineering.

In The Last Decade

Ajay Kaul

22 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ajay Kaul India	12	313	224	202	146	145	22	848
Lijun He China	15	175 0.6×	142 0.6×	206 1.0×	60 0.4×	237 1.6×	53	756
Mohammed Saleh Ali Muthanna Russia	17	154 0.5×	220 1.0×	335 1.7×	65 0.4×	84 0.6×	64	796
U. Venkanna India	15	156 0.5×	175 0.8×	248 1.2×	43 0.3×	106 0.7×	72	728
Himanshu Mittal India	19	276 0.9×	72 0.3×	90 0.4×	83 0.6×	428 3.0×	47	1.1k
Harshadkumar B. Prajapati India	15	429 1.4×	70 0.3×	82 0.4×	257 1.8×	91 0.6×	42	1.1k
Yonghua Xiong China	15	98 0.3×	140 0.6×	245 1.2×	58 0.4×	217 1.5×	69	737
Cong Zhao China	17	93 0.3×	173 0.8×	242 1.2×	33 0.2×	348 2.4×	63	971
Ahmed Khattab Egypt	15	242 0.8×	535 2.4×	554 2.7×	23 0.2×	88 0.6×	99	1.1k
Zhendong Yin China	20	241 0.8×	479 2.1×	240 1.2×	111 0.8×	100 0.7×	93	1.3k
Jaya Sil India	16	338 1.1×	68 0.3×	52 0.3×	223 1.5×	270 1.9×	101	1.1k

Countries citing papers authored by Ajay Kaul

Since Specialization

Citations

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

Fields of papers citing papers by Ajay Kaul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Kaul

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

All Works

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20 of 20 papers shown

Kaushik, Baijnath, et al.. (2023). Takri touching text segmentation using statistical approach. Sadhana. 48(3). 1 indexed citations

Sharma, Monika & Ajay Kaul. (2023). A review of detecting malware in android devices based on machine learning techniques. Expert Systems. 41(1). 4 indexed citations

Sharma, Monika & Ajay Kaul. (2023). Suspicious Permissions Detection of Covid-19 Themed Malicious Android Applications. 1–6. 1 indexed citations

Kaul, Ajay, et al.. (2022). Hyperspectral imaging and target detection algorithms: a review. Multimedia Tools and Applications. 81(30). 44141–44206. 31 indexed citations

Kaul, Ajay, et al.. (2022). A Review of Hyperspectral Image Classification with Various Segmentation Approaches Based on Labelled Samples. Advances in intelligent systems and computing. 69–92. 3 indexed citations

Kaul, Ajay, et al.. (2022). Support vector machine versus convolutional neural network for hyperspectral image classification: A systematic review. Concurrency and Computation Practice and Experience. 34(15). 36 indexed citations

Sharma, Sparsh, Sparsh Sharma, Ajay Kaul, et al.. (2021). A detailed tutorial survey on VANETs: Emerging architectures, applications, security issues, and solutions. International Journal of Communication Systems. 34(14). 25 indexed citations

Sharma, Sparsh, et al.. (2021). Automatic Prediction of Road Angles using Deep Learning-Based Transfer Learning Models. IOP Conference Series Materials Science and Engineering. 1099(1). 12060–12060. 1 indexed citations

Kaul, Ajay, et al.. (2021). A Fundamental Review on Hyperspectral Segmentation Algorithms. 165–185. 3 indexed citations

10.

Sharma, Sparsh & Ajay Kaul. (2020). VANETs Cloud: Architecture, Applications, Challenges, and Issues. Archives of Computational Methods in Engineering. 28(4). 2081–2102. 31 indexed citations

11.

Kaushik, Baijnath, et al.. (2020). A Comparative analysis for identification and classification of text segmentation challenges in Takri Script. Sadhana. 45(1). 3 indexed citations

12.

Chouhan, Siddharth Singh, Uday Pratap Singh, Ajay Kaul, & Sanjeev Jain. (2019). A Data Repository of Leaf Images: Practice towards Plant Conservation with Plant Pathology. 700–707. 53 indexed citations

13.

Chouhan, Siddharth Singh, Ajay Kaul, & Uday Pratap Singh. (2019). Image segmentation using fuzzy competitive learning based counter propagation network. Multimedia Tools and Applications. 78(24). 35263–35287. 15 indexed citations

14.

Chouhan, Siddharth Singh, Ajay Kaul, & Uday Pratap Singh. (2019). A deep learning approach for the classification of diseased plant leaf images. 1168–1172. 15 indexed citations

15.

Chouhan, Siddharth Singh, Ajay Kaul, & Uday Pratap Singh. (2019). Radial Basis Function Neural Network for the Segmentation of Plant leaf disease. 713–716. 11 indexed citations

16.

Chouhan, Siddharth Singh, Ajay Kaul, & Uday Pratap Singh. (2018). Soft computing approaches for image segmentation: a survey. Multimedia Tools and Applications. 77(21). 28483–28537. 82 indexed citations

17.

Chouhan, Siddharth Singh, Ajay Kaul, Uday Pratap Singh, & Sanjeev Jain. (2018). Bacterial Foraging Optimization Based Radial Basis Function Neural Network (BRBFNN) for Identification and Classification of Plant Leaf Diseases: An Automatic Approach Towards Plant Pathology. IEEE Access. 6. 8852–8863. 208 indexed citations

18.

Chouhan, Siddharth Singh, Ajay Kaul, & Uday Pratap Singh. (2018). Image Segmentation Using Computational Intelligence Techniques: Review. Archives of Computational Methods in Engineering. 26(3). 533–596. 97 indexed citations

19.

Sharma, Sparsh & Ajay Kaul. (2018). Hybrid fuzzy multi-criteria decision making based multi cluster head dolphin swarm optimized IDS for VANET. Vehicular Communications. 12. 23–38. 76 indexed citations

20.

Kaul, Ajay, et al.. (2015). Performance Analysis of Video Streaming Applications over VANETs. 112(14). 13–18. 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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