J. K. Garg

954 total citations
42 papers, 708 citations indexed

About

J. K. Garg is a scholar working on Ecology, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, J. K. Garg has authored 42 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 17 papers in Global and Planetary Change and 12 papers in Water Science and Technology. Recurrent topics in J. K. Garg's work include Remote Sensing in Agriculture (11 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Hydrology and Watershed Management Studies (6 papers). J. K. Garg is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Hydrology and Watershed Management Studies (6 papers). J. K. Garg collaborates with scholars based in India, United States and Netherlands. J. K. Garg's co-authors include A.K. Gupta, Varun Joshi, Sangeeta Bansal, Deeksha Katyal, Reshu Agarwal, Krishna Prasad Vadrevu, Chris Justice, Kristofer Lasko, Sumalika Biswas and Saroj Kumar Sahu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

J. K. Garg

38 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. K. Garg India	13	262	246	173	170	153	42	708
Qing Fu China	14	197 0.8×	198 0.8×	254 1.5×	273 1.6×	141 0.9×	31	723
Weihong Zhu China	14	224 0.9×	200 0.8×	161 0.9×	110 0.6×	191 1.2×	56	757
Amirhossein Shadmehri Toosi Iran	13	378 1.4×	305 1.2×	367 2.1×	309 1.8×	127 0.8×	17	991
Brijendra Pateriya India	16	329 1.3×	302 1.2×	204 1.2×	127 0.7×	134 0.9×	51	886
Mingzhou Qin China	15	237 0.9×	99 0.4×	319 1.8×	208 1.2×	124 0.8×	40	795
Wenjun Yang China	13	121 0.5×	334 1.4×	202 1.2×	132 0.8×	163 1.1×	29	694
Zulpiya Mamat China	13	291 1.1×	158 0.6×	386 2.2×	242 1.4×	108 0.7×	23	826
Velјko Perović Serbia	16	154 0.6×	122 0.5×	264 1.5×	108 0.6×	113 0.7×	49	686
Xiao Pu China	10	104 0.4×	114 0.5×	200 1.2×	134 0.8×	98 0.6×	35	678

Countries citing papers authored by J. K. Garg

Since Specialization

Citations

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

Fields of papers citing papers by J. K. Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. K. Garg. 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 J. K. Garg. The network helps show where J. K. Garg may publish in the future.

Co-authorship network of co-authors of J. K. Garg

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

Joshi, Varun, et al.. (2021). Riverine landscape dynamics of the Upper Ganga River (Haridwar-Narora), India. Environmental Monitoring and Assessment. 193(2). 96–96. 9 indexed citations

Joshi, Varun, et al.. (2020). Heavy metal pollution in surface water of the Upper Ganga River, India: human health risk assessment. Environmental Monitoring and Assessment. 192(11). 742–742. 78 indexed citations

Vadrevu, Krishna Prasad, Sumalika Biswas, Kristofer Lasko, et al.. (2020). Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period. Scientific Reports. 10(1). 16574–16574. 100 indexed citations

Garg, J. K., et al.. (2020). Multi-Hazard Risk Zonation Based on Functions Responsible for Hazards Like Landslides, Floods, Forest Fires and Earthquakes in Mandakini Valley. International Journal of Recent Technology and Engineering (IJRTE). 8(5). 3874–3885. 2 indexed citations

Garg, J. K., et al.. (2019). Assessing the efficacy of Landsat-8 OLI imagery derived models for remotely estimating chlorophyll- a concentration in the Upper Ganga River, India. International Journal of Remote Sensing. 41(7). 2439–2456. 20 indexed citations

Garg, J. K., et al.. (2019). Analysis of Long-Term Spatio-Temporal Trends in Land Use/Land Cover in Devikulam Taluk, Kerala Using Geospatial Techniques. SHILAP Revista de lepidopterología. 8(3). 34–52. 1 indexed citations

Gupta, A.K., et al.. (2018). Impact of heavy metals on inhibitory concentration of Escherichia coli—a case study of river Yamuna system, Delhi, India. Environmental Monitoring and Assessment. 190(11). 674–674. 25 indexed citations

Bansal, Sangeeta, J. K. Garg, C. Sharma, & Deeksha Katyal. (2018). Spatial methane emission modelling from wetlands using geospatial tools. International Journal of Remote Sensing. 39(18). 5907–5933. 12 indexed citations

Garg, J. K., et al.. (2018). Assessment of monthly variations of urban heat island in Delhi using Landsat 8 dataset. 4. 14–14. 1 indexed citations

10.

Gupta, A.K., et al.. (2017). Evaluation of heavy metal contamination using environmetrics and indexing approach for River Yamuna, Delhi stretch, India. Water Science. 31(1). 52–66. 158 indexed citations

11.

Garg, J. K., et al.. (2017). Spectral discrimination of macrophyte species during different seasons in a tropical wetland using in-situ hyperspectral remote sensing. 1 indexed citations

12.

Garg, J. K., et al.. (2017). Macrophyte species composition and structure along littoral region in relation to limnological variables of a tropical wetland ecosystem. Chemistry and Ecology. 33(6). 499–515. 5 indexed citations

13.

Garg, J. K., et al.. (2016). Trophic state assessment of Bhindawas Lake, Haryana, India. Environmental Monitoring and Assessment. 189(1). 32–32. 46 indexed citations

14.

Gupta, A.K., et al.. (2015). Prevalence of multidrug resistance in Escherichia coli strains isolated from river Yamuna, Delhi stretch. International Journal of Bioassays. 4(11). 4492–4498. 2 indexed citations

15.

Garg, J. K.. (2014). Wetland assessment, monitoring and management in India using geospatial techniques. Journal of Environmental Management. 148. 112–123. 55 indexed citations

16.

Garg, J. K., et al.. (2010). Impact of regulated flow on biological water quality in upper ecological segment of River Yamuna.. JOURNAL OF EXPERIMENTAL ZOOLOGY INDIA. 13(2). 419–424. 1 indexed citations

17.

Agarwal, Reshu & J. K. Garg. (2009). Methane emission modelling from wetlands and waterlogged areas using MODIS data. Current Science. 96(1). 36–40. 13 indexed citations

18.

Agarwal, Reshu, Rakesh Gupta, & J. K. Garg. (2009). A hierarchical model for estimating methane emission from wetlands using MODIS data and ARIMA modeling. Journal of the Indian Society of Remote Sensing. 37(3). 473–481. 2 indexed citations

19.

Joshi, Varun, et al.. (2003). Landslide hazard zonation of Dharasu -Tehri-Ghansali area of Garhwal Himalaya, India using remote sensing and GIS techniques. Journal of Nepal Geological Society. 28. 6 indexed citations

20.

Varshney, C. K., J. K. Garg, W. K. Lauenroth, & R. K. Heitschmidt. (1979). Plant responses to sulfur dioxide pollution. 9(1). 27–49. 31 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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