Khanindra Pathak

1.4k total citations
51 papers, 1.1k citations indexed

About

Khanindra Pathak is a scholar working on Artificial Intelligence, Environmental Engineering and Ecology. According to data from OpenAlex, Khanindra Pathak has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Environmental Engineering and 11 papers in Ecology. Recurrent topics in Khanindra Pathak's work include Geochemistry and Geologic Mapping (10 papers), Remote Sensing in Agriculture (7 papers) and Remote-Sensing Image Classification (7 papers). Khanindra Pathak is often cited by papers focused on Geochemistry and Geologic Mapping (10 papers), Remote Sensing in Agriculture (7 papers) and Remote-Sensing Image Classification (7 papers). Khanindra Pathak collaborates with scholars based in India, United States and China. Khanindra Pathak's co-authors include Narayan Kayet, Abhisek Chakrabarty, Satiprasad Sahoo, Rajakumar Ananthakrishnan, Ritesh Banerjee, Anita Mukherjee, Priya Goswami, Chandra Prakash Singh, V. M. Chowdary and Samir Kumar Pal and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Journal of Business Research.

In The Last Decade

Khanindra Pathak

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khanindra Pathak India 18 330 312 232 226 154 51 1.1k
Shulin Liu China 26 484 1.5× 138 0.4× 136 0.6× 420 1.9× 134 0.9× 60 1.9k
Futao Wang China 22 670 2.0× 197 0.6× 55 0.2× 191 0.8× 373 2.4× 78 1.7k
Majdi Abou Najm United States 26 255 0.8× 721 2.3× 319 1.4× 91 0.4× 486 3.2× 102 1.9k
Julius Musyoka Ndambuki South Africa 26 661 2.0× 488 1.6× 104 0.4× 307 1.4× 458 3.0× 125 2.8k
Zhenqi Hu China 26 453 1.4× 332 1.1× 153 0.7× 337 1.5× 130 0.8× 135 2.2k
Sufen Wang China 22 441 1.3× 150 0.5× 251 1.1× 267 1.2× 435 2.8× 96 1.7k
Sylvia Tramberend Austria 13 453 1.4× 337 1.1× 99 0.4× 176 0.8× 778 5.1× 39 1.6k
Wang Li China 18 207 0.6× 116 0.4× 225 1.0× 132 0.6× 152 1.0× 133 1.4k
Tarek Abichou United States 30 278 0.8× 1.0k 3.2× 112 0.5× 75 0.3× 130 0.8× 99 2.5k

Countries citing papers authored by Khanindra Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Khanindra Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khanindra Pathak

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

All Works

20 of 20 papers shown
1.
Pathak, Khanindra, et al.. (2025). Investigation of the settling dynamics and behaviour of PM2.5 and PM1.0 present in coal dusts in controlled environmental conditions. Atmospheric Pollution Research. 17(1). 102711–102711.
2.
Samal, Biswajit, et al.. (2025). Assessment of coastal litter trends in tourist vs. non-tourist beaches: A case study from Indian coastal smart city. The Science of The Total Environment. 959. 178339–178339. 4 indexed citations
3.
4.
Kayet, Narayan, et al.. (2024). Assessment and estimation of coal dust impact on vegetation using VIs difference model and PRISMA hyperspectral data in mining sites. Journal of Environmental Management. 367. 121935–121935. 8 indexed citations
5.
6.
Dubey, Brajesh, et al.. (2024). From slag to green: Aided-phytoremediation as a sustainable tool to rehabilitate land contaminated by steel slag and assessment of CO2 sequestration. The Science of The Total Environment. 919. 170858–170858. 1 indexed citations
7.
Pathak, Khanindra, et al.. (2023). Mapping the geometry dependent relative stress in stretched polymer membranes by polarization and interferometric techniques. Optical Materials. 137. 113595–113595. 2 indexed citations
8.
Kayet, Narayan, et al.. (2023). Detection and mapping of vegetation stress using AVIRIS-NG hyperspectral imagery in coal mining sites. Advances in Space Research. 73(2). 1368–1378. 3 indexed citations
9.
Pathak, Khanindra, et al.. (2023). Value chain and core competency based approach to outsourcing decision: a case of the Indian coal mining organisation. International Journal of Value Chain Management. 14(2). 168–168. 1 indexed citations
10.
Pathak, Khanindra, et al.. (2023). Design and Implementation of Solar-Powered Optical Fiber-Based Illumination and Communication System for Underground Coal Mines. Mining Metallurgy & Exploration. 40(3). 793–805. 2 indexed citations
11.
Kayet, Narayan, Khanindra Pathak, Chandra Prakash Singh, et al.. (2022). Vegetation health conditions assessment and mapping using AVIRIS-NG hyperspectral and field spectroscopy data for -environmental impact assessment in coal mining sites. Ecotoxicology and Environmental Safety. 239. 113650–113650. 15 indexed citations
12.
Pathak, Khanindra, et al.. (2021). Mine Waste as Resource: Indian Mining Scenario of Coal and Non Coal Mining Sector. International Journal of Recent Technology and Engineering (IJRTE). 9(6). 250–252. 2 indexed citations
13.
Pathak, Khanindra, et al.. (2021). Assessment and management of soil erosion in the hilltop mining dominated catchment using GIS integrated RUSLE model. Journal of Environmental Management. 294. 112987–112987. 32 indexed citations
14.
Kayet, Narayan, et al.. (2020). Assessment of mining activities on tree species and diversity in hilltop mining areas using Hyperion and Landsat data. Environmental Science and Pollution Research. 27(34). 42750–42766. 11 indexed citations
15.
Deb, Debasis, et al.. (2018). Modified E30 Model for assessing soil erosion potential in a highly precipitated hilly watershed of North-East India. Remote Sensing Applications Society and Environment. 10. 173–182. 2 indexed citations
16.
Pathak, Khanindra, et al.. (2018). A BSC-ANP approach to organizational outsourcing decision support-A case study. Journal of Business Research. 103. 432–447. 22 indexed citations
17.
Kayet, Narayan, Khanindra Pathak, Abhisek Chakrabarty, & Satiprasad Sahoo. (2018). Mapping the distribution of iron ore minerals and spatial correlation with environmental variables in hilltop mining areas. Environmental Earth Sciences. 77(8). 4 indexed citations
18.
Ananthakrishnan, Rajakumar, et al.. (2017). Effective oil removal from water by magnetically driven superhydrophobic and oleophilic magnetic titania nanotubes. Environmental Science and Pollution Research. 24(22). 18063–18072. 14 indexed citations
19.
Deb, Debasis, et al.. (2016). Development of a mining landscape and assessment of its soil erosion potential using GIS. Engineering Geology. 216. 1–12. 17 indexed citations
20.
Pathak, Khanindra, et al.. (2015). Discovering flood rising pattern in hydrological time series data mining during the pre monsoon period. 44(3). 303–317.

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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