Shruti Sachdeva

478 total citations
9 papers, 355 citations indexed

About

Shruti Sachdeva is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Shruti Sachdeva has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 5 papers in Water Science and Technology and 4 papers in Environmental Engineering. Recurrent topics in Shruti Sachdeva's work include Flood Risk Assessment and Management (7 papers), Hydrology and Watershed Management Studies (5 papers) and Groundwater and Watershed Analysis (4 papers). Shruti Sachdeva is often cited by papers focused on Flood Risk Assessment and Management (7 papers), Hydrology and Watershed Management Studies (5 papers) and Groundwater and Watershed Analysis (4 papers). Shruti Sachdeva collaborates with scholars based in India. Shruti Sachdeva's co-authors include Bijendra Kumar, Tarunpreet Bhatia, Anil Kumar Verma and Praveen Aggarwal and has published in prestigious journals such as International Journal of Remote Sensing, Environmental Monitoring and Assessment and Natural Hazards.

In The Last Decade

Shruti Sachdeva

9 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shruti Sachdeva India	8	245	128	120	82	48	9	355
C. D. Aju India	12	245 1.0×	246 1.9×	130 1.1×	85 1.0×	38 0.8×	21	484
Xinxiang Lei China	7	336 1.4×	195 1.5×	143 1.2×	122 1.5×	46 1.0×	8	521
Asif Sajjad China	12	333 1.4×	106 0.8×	132 1.1×	170 2.1×	62 1.3×	22	499
Moung Jin Lee South Korea	5	312 1.3×	115 0.9×	127 1.1×	152 1.9×	25 0.5×	6	413
Jules Maurice Habumugisha China	7	214 0.9×	142 1.1×	53 0.4×	61 0.7×	28 0.6×	9	310
Saeid Khosrobeigi Bozchaloei Iran	6	256 1.0×	79 0.6×	131 1.1×	146 1.8×	44 0.9×	6	365
M. V. Khire India	8	242 1.0×	245 1.9×	120 1.0×	46 0.6×	51 1.1×	16	412
Seyed Vahid Razavi Termeh Iran	5	457 1.9×	143 1.1×	218 1.8×	246 3.0×	47 1.0×	7	583
Lianjing Zheng China	6	231 0.9×	149 1.2×	78 0.7×	121 1.5×	17 0.4×	8	341
Dimitrios Rozos Greece	6	129 0.5×	193 1.5×	63 0.5×	46 0.6×	27 0.6×	7	334

Countries citing papers authored by Shruti Sachdeva

Since Specialization

Citations

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

Fields of papers citing papers by Shruti Sachdeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Sachdeva

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

All Works

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9 of 9 papers shown

Sachdeva, Shruti & Bijendra Kumar. (2021). A novel ensemble model of automatic multilayer perceptron, random forest, and ZeroR for groundwater potential mapping. Environmental Monitoring and Assessment. 193(11). 722–722. 8 indexed citations

Sachdeva, Shruti & Bijendra Kumar. (2021). Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods. Ecological Informatics. 67. 101498–101498. 42 indexed citations

Sachdeva, Shruti, et al.. (2021). Predicting IRI Using Machine Learning Techniques. International Journal of Pavement Research and Technology. 16(1). 128–137. 27 indexed citations

Sachdeva, Shruti & Bijendra Kumar. (2020). A Comparative Study between Frequency Ratio Model and Gradient Boosted Decision Trees with Greedy Dimensionality Reduction in Groundwater Potential Assessment. Water Resources Management. 34(15). 4593–4615. 7 indexed citations

Sachdeva, Shruti & Bijendra Kumar. (2020). Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India. Stochastic Environmental Research and Risk Assessment. 35(2). 287–306. 77 indexed citations

Sachdeva, Shruti & Bijendra Kumar. (2020). Groundwater potential mapping using machine learning models for Northeastern Karbi Anglong district, Assam, India. 116–121. 1 indexed citations

Sachdeva, Shruti, Tarunpreet Bhatia, & Anil Kumar Verma. (2019). A novel voting ensemble model for spatial prediction of landslides using GIS. International Journal of Remote Sensing. 41(3). 929–952. 32 indexed citations

Sachdeva, Shruti, Tarunpreet Bhatia, & Anil Kumar Verma. (2018). GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping. Natural Hazards. 92(3). 1399–1418. 125 indexed citations

Sachdeva, Shruti, Tarunpreet Bhatia, & Anil Kumar Verma. (2017). Flood susceptibility mapping using GIS-based support vector machine and particle swarm optimization: A case study in Uttarakhand (India). 1–7. 36 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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