M. Sam Navin

457 total citations
14 papers, 339 citations indexed

About

M. Sam Navin is a scholar working on Media Technology, Ecology and Atmospheric Science. According to data from OpenAlex, M. Sam Navin has authored 14 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 10 papers in Ecology and 7 papers in Atmospheric Science. Recurrent topics in M. Sam Navin's work include Remote-Sensing Image Classification (11 papers), Remote Sensing in Agriculture (10 papers) and Remote Sensing and Land Use (7 papers). M. Sam Navin is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Remote Sensing in Agriculture (10 papers) and Remote Sensing and Land Use (7 papers). M. Sam Navin collaborates with scholars based in India and Saudi Arabia. M. Sam Navin's co-authors include L. Agilandeeswari, Prabukumar Manoharan, Farhan A. Alenizi and Gilles Richard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Applied Sciences.

In The Last Decade

M. Sam Navin

10 papers receiving 321 citations

Peers

M. Sam Navin

ECOLO

MT

GPC

AS

EE

Hong Fang China

Fan Xia China

Shahab Jozdani Japan

Xiao Sang China

Jiajun Liu China

Andrew Tewkesbury United Kingdom

Yingpin Yang China

Shengjie Liu Hong Kong

Tobias Leichtle Germany

Hermann Johann Heinrich Kux Brazil

Hong Fang China

M. Sam Navin

104 ×0.6

ECOLO

119 ×0.7

MT

98 ×0.7

GPC

116 ×0.9

AS

59 ×1.0

EE

Citations per year, relative to M. Sam Navin M. Sam Navin (= 1×) peers Hong Fang

Countries citing papers authored by M. Sam Navin

Since Specialization

Citations

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

Fields of papers citing papers by M. Sam Navin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Sam Navin. 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 M. Sam Navin. The network helps show where M. Sam Navin may publish in the future.

Co-authorship network of co-authors of M. Sam Navin

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

All Works

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14 of 14 papers shown

1.

Navin, M. Sam, et al.. (2025). Fuzzy Shuffled Frog Leaping Optimization-based enhanced ConvLSTM for Land Use/ Land Cover Prediction. Earth Science Informatics. 18(2). 3 indexed citations

2.

Navin, M. Sam, L. Agilandeeswari, Prabukumar Manoharan, & Farhan A. Alenizi. (2024). Fuzzy Swin transformer for Land Use/ Land Cover change detection using LISS-III Satellite data. Earth Science Informatics. 17(2). 1745–1764. 18 indexed citations

3.

Navin, M. Sam, et al.. (2024). Integrating the NDVI-Random Forest Classification for Vegetation Analysis - Yercaud Hills, India. 1–6.

4.

Navin, M. Sam, et al.. (2024). Brovey Weighted Mean Fusion-based CNN Satellite Image Classification Model for Ukkadam Lake-Coimbatore, India. 1–6.

5.

Navin, M. Sam, et al.. (2024). Unveiling the Hydrological NDWI: Random Forest Analysis of Landsat Images - Siruvani Dam, India. 1–6.

6.

Richard, Gilles & M. Sam Navin. (2024). Land Use Land Cover Change Detection Using Hybrid Machine Learning Algorithms – Anaimalai Hills, Tamil Nadu, India. 659–664.

7.

Navin, M. Sam & L. Agilandeeswari. (2023). A novel fuzzy Harris hawks optimization-based supervised vegetation and bare soil prediction system for Javadi Hills, India. Arabian Journal of Geosciences. 16(8). 13 indexed citations

8.

Navin, M. Sam & L. Agilandeeswari. (2022). Novel Vision Transformer–Based Bi-LSTM Model for LU/LC Prediction—Javadi Hills, India. Applied Sciences. 12(13). 6387–6387. 32 indexed citations

9.

Navin, M. Sam, L. Agilandeeswari, & Prabukumar Manoharan. (2020). Survey on Land Use/Land Cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and Challenges. Environmental Science and Pollution Research. 27(24). 29900–29926. 132 indexed citations

10.

Navin, M. Sam, et al.. (2020). Dimensionality Reduction and Vegetation Monitoring On LISS III Satellite Image Using Principal Component Analysis and Normalized Difference Vegetation Index. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 16. 1–5. 4 indexed citations

11.

Navin, M. Sam & L. Agilandeeswari. (2020). Multispectral and hyperspectral images based land use / land cover change prediction analysis: an extensive review. Multimedia Tools and Applications. 79(39-40). 29751–29774. 64 indexed citations

12.

Navin, M. Sam & L. Agilandeeswari. (2020). Comprehensive review on land use/land cover change classification in remote sensing. SHILAP Revista de lepidopterología. 30 indexed citations

13.

Navin, M. Sam & L. Agilandeeswari. (2020). Modelling Spatial Drivers for LU/LC Change Prediction Using Hybrid Machine Learning Methods in Javadi Hills, Tamil Nadu, India. Journal of the Indian Society of Remote Sensing. 49(4). 913–934. 28 indexed citations

14.

Navin, M. Sam & L. Agilandeeswari. (2019). Land use Land Cover Change Detection using K-means Clustering and Maximum Likelihood Classification Method in the Javadi Hills, Tamil Nadu, India. International Journal of Engineering and Advanced Technology. 9(1s3). 51–56. 15 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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