Jagriti Saini

1.0k total citations
25 papers, 613 citations indexed

About

Jagriti Saini is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Jagriti Saini has authored 25 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 15 papers in Health, Toxicology and Mutagenesis and 9 papers in Global and Planetary Change. Recurrent topics in Jagriti Saini's work include Air Quality Monitoring and Forecasting (17 papers), Air Quality and Health Impacts (15 papers) and COVID-19 impact on air quality (6 papers). Jagriti Saini is often cited by papers focused on Air Quality Monitoring and Forecasting (17 papers), Air Quality and Health Impacts (15 papers) and COVID-19 impact on air quality (6 papers). Jagriti Saini collaborates with scholars based in India, Portugal and Taiwan. Jagriti Saini's co-authors include Maitreyee Dutta, Gonçalo Marques, Wei‐Chiang Hong, Pradeep Kumar Singh, Malka N. Halgamuge and Rajesh Mehra and has published in prestigious journals such as Expert Systems with Applications, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Jagriti Saini

20 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jagriti Saini India 11 373 266 120 79 72 25 613
Kyungmo Kang South Korea 13 244 0.7× 223 0.8× 41 0.3× 204 2.6× 75 1.0× 36 534
Hyungkeun Kim South Korea 10 214 0.6× 190 0.7× 37 0.3× 181 2.3× 50 0.7× 19 444
Maria Gabriella Villani Italy 9 677 1.8× 459 1.7× 122 1.0× 29 0.4× 117 1.6× 16 777
Samu Varjonen Finland 12 442 1.2× 313 1.2× 96 0.8× 14 0.2× 123 1.7× 25 684
Chaoqun Zhuang China 15 357 1.0× 129 0.5× 69 0.6× 421 5.3× 110 1.5× 34 720
Mingyao Yao China 15 184 0.5× 238 0.9× 18 0.1× 132 1.7× 120 1.7× 38 630
Giacomo Chiesa Italy 16 425 1.1× 84 0.3× 81 0.7× 577 7.3× 66 0.9× 78 985
Balz Maag Switzerland 9 295 0.8× 169 0.6× 69 0.6× 15 0.2× 68 0.9× 12 419
Wanxiang Yao China 19 303 0.8× 140 0.5× 111 0.9× 229 2.9× 159 2.2× 82 938
Sulaiman O. Fadlallah New Zealand 13 124 0.3× 166 0.6× 63 0.5× 19 0.2× 59 0.8× 35 505

Countries citing papers authored by Jagriti Saini

Since Specialization
Citations

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

Fields of papers citing papers by Jagriti Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jagriti Saini

This figure shows the co-authorship network connecting the top 25 collaborators of Jagriti Saini. A scholar is included among the top collaborators of Jagriti Saini 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 Jagriti Saini. Jagriti Saini 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.
Dutta, Maitreyee, et al.. (2024). A systematic literature review on image splicing detection and localization using emerging technologies. Multimedia Tools and Applications. 84(19). 20721–20756.
3.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2024). Machine Learning for Indoor Air Quality Assessment: A Systematic Review and Analysis. Environmental Modeling & Assessment. 30(2). 417–434. 2 indexed citations
4.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2023). Review of LoRaWAN Enabled Air Quality Assessment Systems for Smart Building Applications. 1094–1098.
5.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2022). Modeling indoor PM2.5 using Adaptive Dynamic Fuzzy Inference System Tree (ADFIST) on Internet of Things-based sensor network data. Internet of Things. 20. 100628–100628. 6 indexed citations
6.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2022). A novel application of fuzzy inference system optimized with particle swarm optimization and genetic algorithm for PM10 prediction. Soft Computing. 26(18). 9573–9586. 11 indexed citations
7.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2022). Indoor air pollution: a comprehensive review of public health challenges and prevention policies. Elsevier eBooks. 105–126. 6 indexed citations
8.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2022). ADFIST: Adaptive Dynamic Fuzzy Inference System Tree Driven by Optimized Knowledge Base for Indoor Air Quality Assessment. Sensors. 22(3). 1008–1008. 18 indexed citations
9.
Saini, Jagriti, Maitreyee Dutta, Gonçalo Marques, & Malka N. Halgamuge. (2022). Integrating IoT and AI for Indoor Air Quality Assessment. 10 indexed citations
10.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2021). Sensors for indoor air quality monitoring and assessment through Internet of Things: a systematic review. Environmental Monitoring and Assessment. 193(2). 66–66. 65 indexed citations
11.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2021). Internet of Things for Indoor Air Quality Monitoring. SpringerBriefs in applied sciences and technology. 7 indexed citations
12.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2021). Fuzzy Inference System Tree with Particle Swarm Optimization and Genetic Algorithm: A novel approach for PM10 forecasting. Expert Systems with Applications. 183. 115376–115376. 31 indexed citations
13.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2020). Indoor Air Quality Monitoring with IoT: Predicting PM10 for Enhanced Decision Support. 2020 International Conference on Decision Aid Sciences and Application (DASA). 504–508. 7 indexed citations
14.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2020). Indoor air quality prediction using optimizers: A comparative study. Journal of Intelligent & Fuzzy Systems. 39(5). 7053–7069. 2 indexed citations
15.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2020). Indoor air quality prediction systems for smart environments: A systematic review. Journal of Ambient Intelligence and Smart Environments. 12(5). 433–453. 34 indexed citations
16.
Marques, Gonçalo, Jagriti Saini, Maitreyee Dutta, Pradeep Kumar Singh, & Wei‐Chiang Hong. (2020). Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities. Sustainability. 12(10). 4024–4024. 53 indexed citations
17.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2020). Internet of Things Based Environment Monitoring and PM10Prediction for Smart Home. 1–5. 5 indexed citations
18.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2020). Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review. International Journal of Environmental Research and Public Health. 17(14). 4942–4942. 123 indexed citations
19.
Saini, Jagriti, Maitreyee Dutta, & Gonçalo Marques. (2020). A comprehensive review on indoor air quality monitoring systems for enhanced public health. Sustainable Environment Research. 30(1). 203 indexed citations
20.
Saini, Jagriti & Rajesh Mehra. (2015). Power Spectral Density Analysis of Speech Signal using Window Techniques. International Journal of Computer Applications. 131(14). 33–36. 6 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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