A. Narmilan

581 total citations
31 papers, 381 citations indexed

About

A. Narmilan is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, A. Narmilan has authored 31 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 12 papers in Plant Science and 7 papers in Environmental Engineering. Recurrent topics in A. Narmilan's work include Smart Agriculture and AI (10 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and LiDAR Applications (6 papers). A. Narmilan is often cited by papers focused on Smart Agriculture and AI (10 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and LiDAR Applications (6 papers). A. Narmilan collaborates with scholars based in Sri Lanka, Australia and United States. A. Narmilan's co-authors include Felipé Gonzalez, Arachchige Surantha Ashan Salgadoe, K.S. Powell, Juan Sandino, J. Kelly, Lihong Zheng, Grant Hamilton, Remy Dehaan, Mark Hamilton and Hillary Cherry and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Remote Sensing.

In The Last Decade

A. Narmilan

30 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Narmilan Sri Lanka	9	204	192	72	67	36	31	381
Arachchige Surantha Ashan Salgadoe Australia	7	243 1.2×	201 1.0×	68 0.9×	79 1.2×	30 0.8×	14	360
Jinbang Peng China	8	136 0.7×	237 1.2×	114 1.6×	73 1.1×	41 1.1×	10	322
Shengping Liu China	10	252 1.2×	235 1.2×	98 1.4×	73 1.1×	70 1.9×	41	563
Maurício de Souza Brazil	7	230 1.1×	218 1.1×	120 1.7×	55 0.8×	30 0.8×	27	366
Yoseline Angel Saudi Arabia	9	239 1.2×	273 1.4×	127 1.8×	87 1.3×	57 1.6×	15	449
Wenxin Yin China	10	188 0.9×	223 1.2×	125 1.7×	157 2.3×	56 1.6×	20	503
Xiaochun Zhong China	9	208 1.0×	175 0.9×	93 1.3×	54 0.8×	29 0.8×	25	410
Brenon Diennevan Souza Barbosa Brazil	11	202 1.0×	209 1.1×	140 1.9×	38 0.6×	28 0.8×	23	392
Mauro dos Santos de Arruda Brazil	8	238 1.2×	237 1.2×	176 2.4×	42 0.6×	23 0.6×	11	475
Morten Stigaard Laursen Denmark	9	278 1.4×	150 0.8×	117 1.6×	39 0.6×	23 0.6×	21	441

Countries citing papers authored by A. Narmilan

Since Specialization

Citations

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

Fields of papers citing papers by A. Narmilan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Narmilan

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

Narmilan, A., Juan Sandino, Ashray Doshi, et al.. (2025). Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning. International Journal of Applied Earth Observation and Geoinformation. 141. 104577–104577. 1 indexed citations

Narmilan, A., et al.. (2025). Mapping of insect pest infestation for precision agriculture: A UAV-based multispectral imaging and deep learning techniques. International Journal of Applied Earth Observation and Geoinformation. 137. 104413–104413. 2 indexed citations

Sandino, Juan, et al.. (2025). Unmanned Aerial Vehicles for Real-Time Vegetation Monitoring in Antarctica: A Review. Remote Sensing. 17(2). 304–304. 4 indexed citations

Narmilan, A., J. Kelly, Remy Dehaan, et al.. (2024). African Lovegrass Segmentation with Artificial Intelligence Using UAS-Based Multispectral and Hyperspectral Imagery. Remote Sensing. 16(13). 2363–2363. 2 indexed citations

Narmilan, A., Juan Sandino, Ashray Doshi, et al.. (2024). Monitoring of Antarctica’s Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI. Sensors. 24(4). 1063–1063. 11 indexed citations

Narmilan, A., Mark Hamilton, J. Kelly, et al.. (2023). Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning. Remote Sensing. 15(6). 1633–1633. 13 indexed citations

Narmilan, A., et al.. (2023). Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation. International Journal of Remote Sensing. 44(18). 5628–5685. 10 indexed citations

Narmilan, A., et al.. (2022). Farmers’ Perception on Precision Farming Technologies: A Novel Approach. 77(2). 264–276. 3 indexed citations

Narmilan, A., Felipé Gonzalez, Arachchige Surantha Ashan Salgadoe, Juan Sandino, & K.S. Powell. (2022). Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models. Remote Sensing. 14(23). 6137–6137. 46 indexed citations

10.

Narmilan, A., et al.. (2021). Domestic water consumption pattern and awareness of urban households. SHILAP Revista de lepidopterología. 5 indexed citations

11.

Narmilan, A., et al.. (2021). Relationship between Temperature-humidity Index and Milk Production of Dairy Cows in Tropical Climate. Asian Journal of Dairy and Food Research. 6 indexed citations

12.

Narmilan, A., et al.. (2021). An IoT based Low-cost Weather Monitoring System for Smart Farming. Agricultural Science Digest - A Research Journal. 6 indexed citations

13.

Narmilan, A., et al.. (2020). Domestic water consumption pattern by urban households. 2 indexed citations

14.

Narmilan, A., et al.. (2020). Assessment of current status on smart farming technologies in Batticaloa District, Sri Lanka.

15.

Narmilan, A., et al.. (2020). Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review. Agricultural Reviews. 41(3). 5 indexed citations

16.

Narmilan, A., et al.. (2020). Assessment on Consequences and Benefits of the Smart Farming Techniques in Batticaloa District, Sri Lanka. International Journal of Research Publications. 61. 4 indexed citations

17.

Narmilan, A., et al.. (2020). The Effect of Different Planting Methods on Growth and Yield of Selected of Cassava (Manihot esculenta) Cultivars. Agricultural Science Digest - A Research Journal. 1 indexed citations

18.

Narmilan, A., et al.. (2020). Reduction Techniques for Consequences of Climate Change by Internet of Things (IoT) with an Emphasis on the Agricultural Production: A Review. 2(3). 6–13. 2 indexed citations

19.

Narmilan, A., et al.. (2018). Modelling the crop water requirement in Batticaloa district, Sri Lanka: FAO-Cropwat modelling for rice. 1 indexed citations

20.

Narmilan, A.. (2017). E-agricultural concepts for improving productivity: a review. 8 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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