Pulakesh Das

1.4k total citations
37 papers, 598 citations indexed

About

Pulakesh Das is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Pulakesh Das has authored 37 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 15 papers in Ecology and 10 papers in Environmental Engineering. Recurrent topics in Pulakesh Das's work include Remote Sensing in Agriculture (12 papers), Hydrology and Watershed Management Studies (8 papers) and Land Use and Ecosystem Services (8 papers). Pulakesh Das is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Hydrology and Watershed Management Studies (8 papers) and Land Use and Ecosystem Services (8 papers). Pulakesh Das collaborates with scholars based in India, United States and Nepal. Pulakesh Das's co-authors include Mukunda Dev Behera, P. S. Roy, Saroj Kanta Barik, Varsha Pandey, Satiprasad Sahoo, Anirban Dhar, S. K. Srivastava, Amlanjyoti Kar, Y. V. N. Krishnamurthy and Poonam Tripathi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Environmental Management.

In The Last Decade

Pulakesh Das

37 papers receiving 583 citations

Peers

Pulakesh Das

GPC

ECOLO

WST

J. Anchang United States

Zhihai Gao China

Chen‐Fa Wu Taiwan

Chuanhua Li China

Deyong Yu China

Cun Chang China

Xin Dou China

Xuemei Yang China

Boshra Salem Egypt

Kun Feng China

J. Anchang United States

Pulakesh Das

352 ×1.0

GPC

201 ×1.0

ECOLO

187 ×1.1

129 ×0.9

WST

65 ×0.7

Citations per year, relative to Pulakesh Das Pulakesh Das (= 1×) peers J. Anchang

Countries citing papers authored by Pulakesh Das

Since Specialization

Citations

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

Fields of papers citing papers by Pulakesh Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pulakesh Das

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

Behera, Mukunda Dev, Pulakesh Das, Basanta Kumar Prusty, et al.. (2025). A Synergistic Approach Using Machine Learning and Deep Learning for Forest Fire Susceptibility in Himalayan Forests. Journal of the Indian Society of Remote Sensing. 1 indexed citations

Vilímek, Vít, et al.. (2024). Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques. Geoenvironmental Disasters. 11(1). 16 indexed citations

Pandey, Varsha, et al.. (2024). Hydrological modelling for post-monsoon agricultural drought assessment and implications for the agro-economy. Hydrological Sciences Journal. 69(7). 923–938. 3 indexed citations

Rahimzadeh-Bajgiran, Parinaz, et al.. (2024). Monitoring Eastern White Pine Health by Using Field-Measured Foliar Traits and Hyperspectral Data. Sensors. 24(18). 6129–6129. 2 indexed citations

Burman, Pramit Kumar Deb & Pulakesh Das. (2024). A Data‐Driven Approach to Assess the Impact of Climate Change on a Tropical Mangrove in India. Journal of Geophysical Research Biogeosciences. 129(8). 4 indexed citations

Das, Pulakesh, Mukunda Dev Behera, P. S. Roy, & Saroj Kanta Barik. (2024). Predicting tipping points of vegetation resilience as a response to precipitation: Implications for understanding impacts of climate change in India. Biodiversity and Conservation. 33(12). 3441–3458. 5 indexed citations

Das, Pulakesh, et al.. (2024). Modeling forest canopy structure and developing a stand health index using satellite remote sensing. Ecological Informatics. 84. 102864–102864. 6 indexed citations

Das, Pulakesh, et al.. (2024). Spatial Analysis and Forecasting of Coastal Dynamics Using Optical and SAR Imageries: A Case Study of Contai Coastal Tract of Bay of Bengal. Journal of the Indian Society of Remote Sensing. 52(12). 2783–2806. 2 indexed citations

Das, Pulakesh, et al.. (2023). Near real-time flood inundation and hazard mapping of Baitarani River Basin using Google Earth Engine and SAR imagery. Environmental Monitoring and Assessment. 195(11). 1331–1331. 6 indexed citations

10.

Das, Pulakesh, et al.. (2023). A rapid assessment of stubble burning and air pollutants from satellite observations. Tropical Ecology. 65(1). 152–157. 12 indexed citations

11.

Ghosh, Sujit Madhab, Mukunda Dev Behera, Shubham Kumar, et al.. (2022). Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India. Remote Sensing. 14(23). 5968–5968. 21 indexed citations

12.

Kumar, Shubham, et al.. (2022). Impact of extreme weather events on cropland inundation over Indian subcontinent. Environmental Monitoring and Assessment. 195(1). 50–50. 5 indexed citations

13.

Singh, Raj Kumar, Mukunda Dev Behera, Pulakesh Das, et al.. (2022). Agroforestry Suitability for Planning Site-Specific Interventions Using Machine Learning Approaches. Sustainability. 14(9). 5189–5189. 14 indexed citations

14.

Shit, Pravat Kumar, Pulakesh Das, Gouri Sankar Bhunia, & Dipanwita Dutta. (2021). Mapping, Monitoring, and Modeling Land and Water Resources. 1 indexed citations

15.

Das, Pulakesh, Mukunda Dev Behera, Saroj Kanta Barik, et al.. (2021). Shifting cultivation induced burn area dynamics using ensemble approach in Northeast India. Trees Forests and People. 7. 100183–100183. 10 indexed citations

16.

Das, Pulakesh, et al.. (2019). Studying land use dynamics using decadal satellite images and Dyna-CLUE model in the Mahanadi River basin, India. Environmental Monitoring and Assessment. 191(S3). 804–804. 16 indexed citations

17.

Behera, Mukunda Dev, Çhandrashekhar Biradar, Pulakesh Das, & V. M. Chowdary. (2019). Developing quantifiable approaches for delineating suitable options for irrigating fallow areas during dry season—a case study from Eastern India. Environmental Monitoring and Assessment. 191(S3). 805–805. 12 indexed citations

18.

Behera, Mukunda Dev, Anil K. Gupta, Saroj Kanta Barik, Pulakesh Das, & Rajendra Mohan Panda. (2018). Use of satellite remote sensing as a monitoring tool for land and water resources development activities in an Indian tropical site. Environmental Monitoring and Assessment. 190(7). 401–401. 19 indexed citations

19.

Behera, Mukunda Dev, M. S. R. Murthy, Pulakesh Das, & Eklabya Sharma. (2018). Modelling forest resilience in Hindu Kush Himalaya using geoinformation. Journal of Earth System Science. 127(7). 12 indexed citations

20.

Behera, Mukunda Dev, Poonam Tripathi, Pulakesh Das, et al.. (2017). Remote sensing based deforestation analysis in Mahanadi and Brahmaputra river basin in India since 1985. Journal of Environmental Management. 206. 1192–1203. 55 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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