V. Kalist

512 total citations
18 papers, 318 citations indexed

About

V. Kalist is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, V. Kalist has authored 18 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in V. Kalist's work include Remote-Sensing Image Classification (6 papers), Image Retrieval and Classification Techniques (5 papers) and Retinal Imaging and Analysis (3 papers). V. Kalist is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Image Retrieval and Classification Techniques (5 papers) and Retinal Imaging and Analysis (3 papers). V. Kalist collaborates with scholars based in India and Jordan. V. Kalist's co-authors include B. S. Sathish, P. Ganesan, Khamar Basha Shaik, V. Rajini, L. Megalan Leo, K. Vasanth, L. M. I. Leo Joseph and Radha Murugesan and has published in prestigious journals such as Indian Journal of Science and Technology, Research Journal of Pharmacy and Technology and Journal of the Indian Chemical Society.

In The Last Decade

V. Kalist

15 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Kalist India	6	157	59	53	44	32	18	318
Khamar Basha Shaik India	6	160 1.0×	59 1.0×	57 1.1×	45 1.0×	39 1.2×	6	329
Sarifuddin Madenda Indonesia	11	107 0.7×	32 0.5×	30 0.6×	104 2.4×	13 0.4×	81	330
Sareer Ul Amin South Korea	11	120 0.8×	30 0.5×	15 0.3×	125 2.8×	18 0.6×	15	377
Kurban Ubul China	10	240 1.5×	21 0.4×	72 1.4×	120 2.7×	13 0.4×	67	402
Savita Ahlawat India	7	289 1.8×	45 0.8×	160 3.0×	111 2.5×	25 0.8×	19	466
Bekhzod Olimov South Korea	11	106 0.7×	57 1.0×	20 0.4×	110 2.5×	9 0.3×	14	302
Jiandan Zhong China	5	281 1.8×	34 0.6×	37 0.7×	130 3.0×	13 0.4×	8	440
Hussam Qassim United States	3	139 0.9×	12 0.2×	41 0.8×	100 2.3×	33 1.0×	4	348
Meenakshi M. Pawar India	7	121 0.8×	9 0.2×	51 1.0×	105 2.4×	40 1.3×	10	303

Countries citing papers authored by V. Kalist

Since Specialization

Citations

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

Fields of papers citing papers by V. Kalist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Kalist

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

All Works

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18 of 18 papers shown

Kalist, V., et al.. (2025). Assessment of waterborne metal contaminants by integrating deep learning with support vector machine and random Forest classifiers through Lemna minor phenotyping. Journal of the Indian Chemical Society. 102(8). 101906–101906. 1 indexed citations

Kalist, V., et al.. (2024). INN: Experimental Evaluation of Machine Learning Based Obesity and Overweight Prediction Using Intensive Neural Networks. 1–6.

Leo, L. Megalan, et al.. (2022). Experimental Analysis of Data Storage and Integrity Management over Cloud Environment using Integrated Data Security Strategy. 2022 International Conference on Electronics and Renewable Systems (ICEARS). 952–957. 2 indexed citations

Kalist, V., et al.. (2022). Intensive Path Loss Analysis and Improve Energy Efficiency over Wireless Mobile Sensor Network using Hybrid Routing Model. 2022 International Conference on Electronics and Renewable Systems (ICEARS). 8. 829–835. 5 indexed citations

Kalist, V., et al.. (2022). A Novel Lanemark Identification System using Kalman Filtration Logic and Image Processing Principles. 2022 International Conference on Electronics and Renewable Systems (ICEARS). 71. 1098–1104. 1 indexed citations

Kalist, V., et al.. (2022). Point of Interest Assisted Dynamic Travel Route Suggestion Model using Keyword Representation Logic. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 1581–1586. 2 indexed citations

Leo, L. Megalan, et al.. (2022). An Extensive Analysis of Retina Segmentation based on Structural Screening using Fuzzy based Morphologic Theories. 2022 International Conference on Electronics and Renewable Systems (ICEARS). 2021. 1113–1119. 1 indexed citations

Kalist, V., et al.. (2021). Home Security System using Raspberry PI with IOT. 450–453. 5 indexed citations

Kalist, V., et al.. (2020). An Aid for Speechless, Visually and Hearing Impaired Students in Classroom. 64. 104–108. 1 indexed citations

10.

Sathish, B. S., Radha Murugesan, L. M. I. Leo Joseph, V. Kalist, & P. Ganesan. (2019). Central Retinal Artery Occlusion: The Identification and Segmentation of Retinal Blood Vessels. Research Journal of Pharmacy and Technology. 12(10). 5011–5011.

11.

Ganesan, P., et al.. (2019). Retinal Blood Vessels and Optical Disc Segmentation in Branch Retinal Vein Occluded Fundus Images Using Digital Image Processing Techniques. Research Journal of Pharmacy and Technology. 12(4). 1901–1901. 2 indexed citations

12.

Ganesan, P., V. Kalist, & B. S. Sathish. (2016). Histogram based hill climbing optimization for the segmentation of region of interest in satellite images. 7. 1–5. 6 indexed citations

13.

Ganesan, P., V. Rajini, B. S. Sathish, V. Kalist, & Khamar Basha Shaik. (2015). Satellite Image Segmentation Based on YCbCr Color Space. Indian Journal of Science and Technology. 8(1). 35–35. 18 indexed citations

14.

Shaik, Khamar Basha, et al.. (2015). Comparative Study of Skin Color Detection and Segmentation in HSV and YCbCr Color Space. Procedia Computer Science. 57. 41–48. 235 indexed citations

15.

Ganesan, P., et al.. (2015). Performance of fuzzy based clustering algorithms for the segmentation of satellite images — A comparative study. 23–27. 7 indexed citations

16.

Sathish, B. S., et al.. (2015). Neural network based SOM for multispectral image segmentation in RGB and HSV color space. 2. 1–6. 5 indexed citations

17.

Kalist, V., et al.. (2015). Possiblistic-Fuzzy C-Means Clustering Approach for the Segmentation of Satellite Images in HSL Color Space. Procedia Computer Science. 57. 49–56. 25 indexed citations

18.

Ganesan, P., et al.. (2014). Comparative study of performance of distance measures in fuzzy C means clustering for CIELUV color images. 7. 95–100. 2 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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