Anurag Malik

5.2k total citations
122 papers, 3.8k citations indexed

About

Anurag Malik is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Anurag Malik has authored 122 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Environmental Engineering, 58 papers in Global and Planetary Change and 43 papers in Water Science and Technology. Recurrent topics in Anurag Malik's work include Hydrological Forecasting Using AI (57 papers), Hydrology and Watershed Management Studies (34 papers) and Hydrology and Drought Analysis (29 papers). Anurag Malik is often cited by papers focused on Hydrological Forecasting Using AI (57 papers), Hydrology and Watershed Management Studies (34 papers) and Hydrology and Drought Analysis (29 papers). Anurag Malik collaborates with scholars based in India, Iran and Iraq. Anurag Malik's co-authors include Anil Kumar, Özgür Kişi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mehdi Jamei, Yazid Tikhamarine, Masoud Karbasi, Doudja Souag-Gamane, Saad Sh. Sammen, Nadhir Al‐Ansari and Quoc Bao Pham and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Anurag Malik

114 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anurag Malik India 40 2.0k 1.9k 1.5k 480 436 122 3.8k
Yuk Feng Huang Malaysia 35 1.8k 0.9× 1.9k 1.0× 1.4k 1.0× 487 1.0× 408 0.9× 152 3.8k
Ali Danandeh Mehr Türkiye 33 1.8k 0.9× 1.6k 0.9× 1.4k 1.0× 346 0.7× 317 0.7× 115 3.3k
Babak Mohammadi Sweden 32 1.5k 0.8× 1.3k 0.7× 1.0k 0.7× 521 1.1× 337 0.8× 85 2.9k
Ahmed Elbeltagi Egypt 44 2.6k 1.3× 2.6k 1.4× 2.3k 1.5× 481 1.0× 522 1.2× 222 6.0k
Salim Heddam Algeria 39 2.5k 1.2× 1.1k 0.6× 2.1k 1.4× 821 1.7× 335 0.8× 175 4.4k
Mohammad Ali Ghorbani Iran 35 1.8k 0.9× 1.0k 0.6× 1.0k 0.7× 470 1.0× 379 0.9× 85 3.0k
Bahram Choubin Iran 35 2.1k 1.0× 2.6k 1.4× 2.0k 1.3× 357 0.7× 701 1.6× 58 4.8k
Ahmad Sharafati Iran 32 1.5k 0.7× 1.4k 0.8× 1.4k 0.9× 304 0.6× 423 1.0× 137 3.5k
Vladan Babovic Singapore 39 1.9k 0.9× 1.6k 0.9× 1.6k 1.1× 436 0.9× 610 1.4× 104 4.0k
Nguyễn Thị Thùy Linh Vietnam 37 1.5k 0.8× 2.4k 1.3× 1.5k 1.0× 275 0.6× 513 1.2× 85 3.9k

Countries citing papers authored by Anurag Malik

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Malik

This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Malik. A scholar is included among the top collaborators of Anurag Malik 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 Anurag Malik. Anurag Malik 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.
Ahlawat, Yogesh K., et al.. (2025). Metabolic engineering of lipids for crop resilience and nutritional improvements towards sustainable agriculture. Functional & Integrative Genomics. 25(1). 78–78. 3 indexed citations
3.
Sharma, Nisha, Yogesh K. Ahlawat, Priyanka Sharma, et al.. (2025). Nano-films as a sustainable, biopolymer-based solution for post-harvest losses and improved shelf life of horticultural crops: a comprehensive review. Journal of Coatings Technology and Research. 23(1). 55–75. 3 indexed citations
4.
Karbasi, Masoud, Mehdi Jamei, Vahid Rezaverdinejad, et al.. (2025). Meticulous estimation of maize actual evapotranspiration: A comprehensive explainable CatBoost algorithm reinforced with Jackknife uncertainty paradigm. Computers and Electronics in Agriculture. 237. 110599–110599. 1 indexed citations
6.
Setia, Raj, et al.. (2024). Spatio-temporal variations in groundwater quality in the parts of South-western Punjab, India. Journal of Geochemical Exploration. 259. 107417–107417. 7 indexed citations
7.
Kumar, Pramod, Nisha Sharma, Sajid Mehmood, et al.. (2024). Integrative approaches to improve litchi (Litchi chinensis Sonn.) plant health using bio-transformations and entomopathogenic fungi. BMC Plant Biology. 24(1). 902–902. 4 indexed citations
8.
Singh, Rajesh K., Anita Gehlot, Anurag Malik, Atreyi Pramanik, & Aashna Sinha. (2024). Future AgriFields: AI Innovations Reshaping Agriculture.
9.
Sharma, Nisha, Yogesh K. Ahlawat, Nattan Stalin, et al.. (2024). Microbial Enzymes in Industrial Biotechnology: Sources, Production, and Significant Applications of Lipases. Journal of Industrial Microbiology & Biotechnology. 52. 1 indexed citations
10.
Karbasi, Masoud, Mumtaz Ali, Mehdi Jamei, et al.. (2024). Innovative multi-temporal evapotranspiration forecasting using empirical fourier decomposition and bidirectional long short-term memory. SHILAP Revista de lepidopterología. 9. 100619–100619. 3 indexed citations
11.
Jamei, Mehdi, Mumtaz Ali, Sayed M. Bateni, et al.. (2024). Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy. Computers and Electronics in Agriculture. 217. 108609–108609. 10 indexed citations
12.
Jamei, Mehdi, Mumtaz Ali, Hassan Afzaal, et al.. (2023). Accurate monitoring of micronutrients in tilled potato soils of eastern Canada: Application of an eXplainable inspired-adaptive boosting framework coupled with SelectKbest. Computers and Electronics in Agriculture. 216. 108479–108479. 5 indexed citations
13.
Jamei, Mehdi, Masoud Karbasi, Mumtaz Ali, et al.. (2023). A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm. Expert Systems with Applications. 222. 119811–119811. 15 indexed citations
14.
Kim, Sungwon, Youngmin Seo, Anurag Malik, et al.. (2023). Quantification of river total phosphorus using integrative artificial intelligence models. Ecological Indicators. 153. 110437–110437. 12 indexed citations
15.
Malik, Anurag, et al.. (2022). Rainfall dynamics observed over India during last century (1901–2020) using innovative trend methodology. Water Science & Technology Water Supply. 22(8). 6909–6944. 6 indexed citations
16.
Singh, U. K., Mehdi Jamei, Masoud Karbasi, Anurag Malik, & Manish Pandey. (2022). Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture. Journal of Hydrology. 607. 127549–127549. 43 indexed citations
17.
Heddam, Salim, Sungwon Kim, Ali Danandeh Mehr, et al.. (2022). Bat algorithm optimised extreme learning machine (Bat‐ELM): A novel approach for daily river water temperature modelling. Geographical Journal. 189(1). 78–89. 16 indexed citations
18.
Jamei, Mehdi, et al.. (2022). Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms. Agricultural Water Management. 269. 107679–107679. 26 indexed citations
19.
Sammen, Saad Sh., Mohammad Ali Ghorbani, Anurag Malik, et al.. (2020). Enhanced Artificial Neural Network with Harris Hawks Optimization for Predicting Scour Depth Downstream of Ski-Jump Spillway. Applied Sciences. 10(15). 5160–5160. 68 indexed citations
20.
Malik, Anurag, Anil Kumar, Özgür Kişi, & Jalal Shiri. (2019). Evaluating the performance of four different heuristic approaches with Gamma test for daily suspended sediment concentration modeling. Environmental Science and Pollution Research. 26(22). 22670–22687. 50 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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