Adil Masood

760 total citations
20 papers, 503 citations indexed

About

Adil Masood is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Automotive Engineering. According to data from OpenAlex, Adil Masood has authored 20 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 8 papers in Health, Toxicology and Mutagenesis and 6 papers in Automotive Engineering. Recurrent topics in Adil Masood's work include Air Quality Monitoring and Forecasting (9 papers), Air Quality and Health Impacts (8 papers) and Vehicle emissions and performance (6 papers). Adil Masood is often cited by papers focused on Air Quality Monitoring and Forecasting (9 papers), Air Quality and Health Impacts (8 papers) and Vehicle emissions and performance (6 papers). Adil Masood collaborates with scholars based in India, Malaysia and Iraq. Adil Masood's co-authors include Kafeel Ahmad, Quoc Bao Pham, M. Aslam, Sarfaraz Masood, Mohammed Majeed Hameed, Siti Fatin Mohd Razali, Reza Piraei, Mohammad Zakwan, Majid Niazkar and Mustafa Mohammed Aljumaily and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Adil Masood

19 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adil Masood India 9 358 223 116 97 71 20 503
R. Suresh India 11 175 0.5× 280 1.3× 91 0.8× 47 0.5× 106 1.5× 18 544
Joanna Kamińska Poland 11 236 0.7× 257 1.2× 73 0.6× 36 0.4× 132 1.9× 47 502
Che Noraini Che Hasnam Malaysia 9 178 0.5× 149 0.7× 52 0.4× 97 1.0× 41 0.6× 12 352
Archontoula Chaloulakou Greece 10 369 1.0× 370 1.7× 87 0.8× 22 0.2× 122 1.7× 14 560
Derek Williamson United States 10 147 0.4× 348 1.6× 85 0.7× 55 0.6× 18 0.3× 30 562
Yen-Hsun Chuang Taiwan 11 99 0.3× 116 0.5× 48 0.4× 51 0.5× 28 0.4× 17 381
Nur’atiah Zaini Malaysia 12 402 1.1× 176 0.8× 148 1.3× 108 1.1× 63 0.9× 28 588
Ahmad Zia Ul–Saufie Malaysia 11 327 0.9× 300 1.3× 99 0.9× 28 0.3× 78 1.1× 54 473
I. K. Larissi Greece 11 260 0.7× 104 0.5× 137 1.2× 39 0.4× 20 0.3× 15 438

Countries citing papers authored by Adil Masood

Since Specialization
Citations

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

Fields of papers citing papers by Adil Masood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adil Masood

This figure shows the co-authorship network connecting the top 25 collaborators of Adil Masood. A scholar is included among the top collaborators of Adil Masood 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 Adil Masood. Adil Masood 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.
Adnan, Rana Muhammad, Mo Wang, Adil Masood, et al.. (2025). Applications of Advanced Optimized Neuro Fuzzy Models for Enhancing Daily Suspended Sediment Load Prediction. Computer Modeling in Engineering & Sciences. 143(1). 1249–1272.
2.
Hameed, Mohammed Majeed, et al.. (2025). Forecasting monthly runoff in a glacierized catchment: A comparison of extreme gradient boosting (XGBoost) and deep learning models. PLoS ONE. 20(5). e0321008–e0321008. 2 indexed citations
3.
4.
Hameed, Mohammed Majeed, Adil Masood, Aman Srivastava, et al.. (2024). Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures. Scientific Reports. 14(1). 10799–10799. 7 indexed citations
5.
Masood, Adil, Majid Niazkar, Mohammad Zakwan, & Reza Piraei. (2023). A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River. Water. 15(20). 3543–3543. 29 indexed citations
6.
Ibrahim, Salah S., Mohamed Khalid AlOmar, Adil Masood, et al.. (2023). Permeation Flux Prediction of Vacuum Membrane Distillation Using Hybrid Machine Learning Techniques. Membranes. 13(12). 900–900. 8 indexed citations
7.
Hameed, Mohammed Majeed, et al.. (2023). Data-driven models for predicting water quality index: A case study of Klang and Langat rivers, Malaysia. AIP conference proceedings. 3015. 20017–20017. 2 indexed citations
8.
Masood, Adil, Mohammed Majeed Hameed, Aman Srivastava, et al.. (2023). Improving PM2.5 prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm. Scientific Reports. 13(1). 21057–21057. 29 indexed citations
9.
10.
Adnan, Rana Muhammad, et al.. (2023). Enhancing accuracy of extreme learning machine in predicting river flow using improved reptile search algorithm. Stochastic Environmental Research and Risk Assessment. 37(8). 3063–3083. 18 indexed citations
11.
Masood, Adil & Kafeel Ahmad. (2022). Data-driven predictive modeling of PM2.5 concentrations using machine learning and deep learning techniques: a case study of Delhi, India. Environmental Monitoring and Assessment. 195(1). 60–60. 33 indexed citations
12.
AlOmar, Mohamed Khalid, Mustafa Mohammed Aljumaily, Adil Masood, et al.. (2022). Data-driven models for atmospheric air temperature forecasting at a continental climate region. PLoS ONE. 17(11). e0277079–e0277079. 31 indexed citations
13.
Masood, Adil & Kafeel Ahmad. (2022). Prediction of PM2.5 concentrations using soft computing techniques for the megacity Delhi, India. Stochastic Environmental Research and Risk Assessment. 37(2). 625–638. 15 indexed citations
14.
Masood, Adil, et al.. (2021). Integrating water quality index, GIS and multivariate statistical techniques towards a better understanding of drinking water quality. Environmental Science and Pollution Research. 29(18). 26860–26876. 66 indexed citations
15.
Masood, Adil & Kafeel Ahmad. (2021). A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance. Journal of Cleaner Production. 322. 129072–129072. 171 indexed citations
16.
Masood, Adil & Kafeel Ahmad. (2020). A model for particulate matter (PM2.5) prediction for Delhi based on machine learning approaches. Procedia Computer Science. 167. 2101–2110. 78 indexed citations
17.
Mohan, B., et al.. (2018). Air Pollution Dispersion Modeling for Diesel Generators at Jamia University Campus, New Delhi, India. International Journal of Advance Research and Innovation. 6(2). 21–26. 2 indexed citations
18.
Masood, Adil, et al.. (2017). Urban Roadside Monitoring, Modeling and Mapping of Air Pollution. 3(2). 3 indexed citations
19.
Masood, Adil, et al.. (2016). Image De-Noising and Compression Using Statistical based Thresholding in 2-D Discrete Wavelet Transform. International Journal of Advanced Computer Science and Applications. 7(11). 2 indexed citations
20.
Usman, Muhammad, et al.. (2016). Denoising in Wavelet Domain Using Probabilistic Graphical Models. International Journal of Advanced Computer Science and Applications. 7(11). 3 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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2026