Mandeep Kaur Saggi

1.4k total citations · 1 hit paper
21 papers, 945 citations indexed

About

Mandeep Kaur Saggi is a scholar working on Artificial Intelligence, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Mandeep Kaur Saggi has authored 21 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Environmental Engineering and 5 papers in Water Science and Technology. Recurrent topics in Mandeep Kaur Saggi's work include Hydrological Forecasting Using AI (7 papers), Solar Radiation and Photovoltaics (4 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Mandeep Kaur Saggi is often cited by papers focused on Hydrological Forecasting Using AI (7 papers), Solar Radiation and Photovoltaics (4 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Mandeep Kaur Saggi collaborates with scholars based in India, United States and Malaysia. Mandeep Kaur Saggi's co-authors include Sushma Jain, Amandeep Singh Bhatia, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Shamsuddin Shahid, Sinan Q. Salih, Nadhir Al‐Ansari, Tao Hai, Kwok‐wing Chau, Jing Wang and Özgür Kişi and has published in prestigious journals such as Scientific Reports, IEEE Access and Environmental Science and Pollution Research.

In The Last Decade

Mandeep Kaur Saggi

20 papers receiving 919 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A survey towards an integration of big data analytics to big insights for value-creation

2018 294 citations Mandeep Kaur Saggi, Sushma Jain Information Processing & Management profile →

Peers

Mandeep Kaur Saggi

GPC

WST

MIS

Sushma Jain India

Chuan-Ming Liu Taiwan

Rafael Pino‐Mejías Spain

İnci Batmaz Türkiye

Sachchidanand Singh India

K. Ponnambalam Canada

Rafael Rumí Spain

Raquel Martínez‐España Spain

Miomir Stanković Serbia

Sushma Jain India

Mandeep Kaur Saggi

208 ×0.8

GPC

164 ×0.7

315 ×1.6

136 ×0.7

WST

152 ×1.0

MIS

Citations per year, relative to Mandeep Kaur Saggi Mandeep Kaur Saggi (= 1×) peers Sushma Jain

Countries citing papers authored by Mandeep Kaur Saggi

Since Specialization

Citations

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

Fields of papers citing papers by Mandeep Kaur Saggi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mandeep Kaur Saggi. 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 Mandeep Kaur Saggi. The network helps show where Mandeep Kaur Saggi may publish in the future.

Co-authorship network of co-authors of Mandeep Kaur Saggi

This figure shows the co-authorship network connecting the top 25 collaborators of Mandeep Kaur Saggi. A scholar is included among the top collaborators of Mandeep Kaur Saggi 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 Mandeep Kaur Saggi. Mandeep Kaur Saggi 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

Saggi, Mandeep Kaur, et al.. (2025). Multi-omic and quantum machine learning integration for lung subtypes classification. Future Generation Computer Systems. 174. 107905–107905. 4 indexed citations

Bhatia, Amandeep Singh, Mandeep Kaur Saggi, & Sabre Kais. (2025). Application of quantum-inspired tensor networks to optimize federated learning systems. Quantum Machine Intelligence. 7(1). 2 indexed citations

Bhatia, Amandeep Singh, Mandeep Kaur Saggi, & Sabre Kais. (2024). Communication-efficient Quantum Federated Learning Optimization for Multi-Center Healthcare Data. 1–8. 2 indexed citations

Saggi, Mandeep Kaur & Sabre Kais. (2024). MQML: Multi-Omic Quantum Machine Learning Based Cancer Classification, Biomarker Identification in Human Lung Adenocarcinoma. 1713–1720.

Bhatia, Amandeep Singh, Mandeep Kaur Saggi, & Sabre Kais. (2023). Quantum Machine Learning Predicting ADME-Tox Properties in Drug Discovery. Journal of Chemical Information and Modeling. 63(21). 6476–6486. 24 indexed citations

Heddam, Salim, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mayadah W. Falah, et al.. (2022). Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform. Environmental Science and Pollution Research. 29(51). 77157–77187. 15 indexed citations

Keshtegar, Behrooz, et al.. (2022). Reference evapotranspiration prediction using high-order response surface method. Theoretical and Applied Climatology. 148(1-2). 849–867. 10 indexed citations

Saggi, Mandeep Kaur & Sushma Jain. (2022). A Survey Towards Decision Support System on Smart Irrigation Scheduling Using Machine Learning approaches. Archives of Computational Methods in Engineering. 29(6). 4455–4478. 36 indexed citations

Saggi, Mandeep Kaur, Sushma Jain, Amandeep Singh Bhatia, & Rakesh Sharda. (2022). Proposition of new ensemble data-intelligence model for evapotranspiration process simulation. Journal of Ambient Intelligence and Humanized Computing. 14(7). 8881–8897. 5 indexed citations

10.

Malik, Anurag, Mandeep Kaur Saggi, Sufia Rehman, et al.. (2022). Deep learning versus gradient boosting machine for pan evaporation prediction. Engineering Applications of Computational Fluid Mechanics. 16(1). 570–587. 56 indexed citations

11.

Ghorbani, Mohammad Ali, Rahman Khatibi, Vijay P. Singh, et al.. (2020). Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning. Scientific Reports. 10(1). 8589–8589. 21 indexed citations

12.

Ghorbani, Mohammad Ali, Farzin Salmasi, Mandeep Kaur Saggi, et al.. (2020). Deep learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates. Journal of Hydroinformatics. 22(6). 1603–1619. 30 indexed citations

13.

Hai, Tao, Sinan Q. Salih, Mandeep Kaur Saggi, et al.. (2020). A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction. IEEE Access. 8. 83347–83358. 44 indexed citations

14.

Salih, Sinan Q., Mohammed Falah Allawi, Asaad M. Armanuos, et al.. (2019). Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt. Engineering Applications of Computational Fluid Mechanics. 13(1). 878–891. 43 indexed citations

15.

Wang, Jing, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Shamsuddin Shahid, et al.. (2019). Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions. Engineering Applications of Computational Fluid Mechanics. 13(1). 811–823. 91 indexed citations

16.

Saggi, Mandeep Kaur & Sushma Jain. (2019). Application of fuzzy-genetic and regularization random forest (FG-RRF): Estimation of crop evapotranspiration (ET ) for maize and wheat crops. Agricultural Water Management. 229. 105907–105907. 39 indexed citations

17.

Bhatia, Amandeep Singh, Mandeep Kaur Saggi, Ajay Kumar, & Sushma Jain. (2019). Matrix Product State–Based Quantum Classifier. Neural Computation. 31(7). 1499–1517. 26 indexed citations

18.

Bhatia, Amandeep Singh & Mandeep Kaur Saggi. (2018). Simulation of Matrix Product State on a Quantum Computer.. arXiv (Cornell University). 2 indexed citations

19.

Saggi, Mandeep Kaur & Sushma Jain. (2018). A survey towards an integration of big data analytics to big insights for value-creation. Information Processing & Management. 54(5). 758–790. 294 indexed citations breakdown →

20.

Saggi, Mandeep Kaur & Sushma Jain. (2018). Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning. Computers and Electronics in Agriculture. 156. 387–398. 186 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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