Rab Nawaz Bashir

702 total citations
30 papers, 385 citations indexed

About

Rab Nawaz Bashir is a scholar working on Artificial Intelligence, Global and Planetary Change and Plant Science. According to data from OpenAlex, Rab Nawaz Bashir has authored 30 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Global and Planetary Change and 8 papers in Plant Science. Recurrent topics in Rab Nawaz Bashir's work include Plant Water Relations and Carbon Dynamics (9 papers), Smart Agriculture and AI (8 papers) and Irrigation Practices and Water Management (5 papers). Rab Nawaz Bashir is often cited by papers focused on Plant Water Relations and Carbon Dynamics (9 papers), Smart Agriculture and AI (8 papers) and Irrigation Practices and Water Management (5 papers). Rab Nawaz Bashir collaborates with scholars based in Pakistan, Saudi Arabia and Finland. Rab Nawaz Bashir's co-authors include Malik Muhammad Ali Shahid, Qasim Umer, Muhammad Tausif, Muhammad Faheem, Imran Sarwar Bajwa, Arfat Ahmad Khan, Muhammad Zahid Abbas, Zhiyan Liu, Salman Iqbal and Chitapong Wechtaisong and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Rab Nawaz Bashir

27 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rab Nawaz Bashir Pakistan 12 181 62 56 53 37 30 385
K P Ragunath India 8 227 1.3× 47 0.8× 35 0.6× 15 0.3× 46 1.2× 48 451
D Muthumanickam India 4 208 1.1× 31 0.5× 36 0.6× 16 0.3× 35 0.9× 33 414
Vinay Chowdary India 4 404 2.2× 32 0.5× 47 0.8× 48 0.9× 35 0.9× 8 614
Guoping Zhang China 11 97 0.5× 71 1.1× 41 0.7× 22 0.4× 38 1.0× 41 453
Jingwen Zhu China 10 92 0.5× 34 0.5× 43 0.8× 44 0.8× 41 1.1× 43 368
Malik Muhammad Ali Shahid Pakistan 9 104 0.6× 29 0.5× 25 0.4× 46 0.9× 18 0.5× 11 257
Amarendra Goap India 3 300 1.7× 18 0.3× 147 2.6× 27 0.5× 44 1.2× 6 432
Sandeep V. Gaikwad India 8 68 0.4× 30 0.5× 26 0.5× 35 0.7× 33 0.9× 27 229
Faisal Rasheed Lone India 5 276 1.5× 13 0.2× 28 0.5× 30 0.6× 20 0.5× 10 438
Angelina Geetha India 9 125 0.7× 17 0.3× 15 0.3× 81 1.5× 44 1.2× 71 372

Countries citing papers authored by Rab Nawaz Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Rab Nawaz Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rab Nawaz Bashir. 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 Rab Nawaz Bashir. The network helps show where Rab Nawaz Bashir may publish in the future.

Co-authorship network of co-authors of Rab Nawaz Bashir

This figure shows the co-authorship network connecting the top 25 collaborators of Rab Nawaz Bashir. A scholar is included among the top collaborators of Rab Nawaz Bashir 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 Rab Nawaz Bashir. Rab Nawaz Bashir 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.
2.
Iqbal, Muhammad Waseem, et al.. (2025). Federated learning based reference evapotranspiration estimation for distributed crop fields. PLoS ONE. 20(2). e0314921–e0314921. 5 indexed citations
3.
Bashir, Rab Nawaz, et al.. (2025). Voice pathology identification using mel spectrogram features and deep learning. Signal Image and Video Processing. 19(11).
4.
Missen, Malik Muhammad Saad, et al.. (2025). Tropical Cyclone Intensity Prediction Using Spatio-Temporal Data Fusion. IEEE Access. 13. 70095–70104.
5.
Bashir, Rab Nawaz, et al.. (2024). Federated Learning (FL) Model of Wind Power Prediction. IEEE Access. 12. 129575–129586. 7 indexed citations
6.
Faheem, Muhammad, et al.. (2024). A Novel 1-Dimensional Cosine Chaotic Equation and Digital Image Encryption Technique. IEEE Access. 12. 118857–118874. 6 indexed citations
7.
Bashir, Rab Nawaz, et al.. (2024). Mushroom Species Classification in Natural Habitats Using Convolutional Neural Networks (CNN). IEEE Access. 12. 176818–176832. 2 indexed citations
8.
Alluhaidan, Ala Saleh, Rab Nawaz Bashir, Rashid Jahangir, et al.. (2024). Machine Learning and Fog Computing-Enabled Sensor Drift Management in Precision Agriculture. IEEE Sensors Journal. 24(22). 36953–36970. 5 indexed citations
9.
Tausif, Muhammad, Qasim Umer, Muhammad Waseem Iqbal, et al.. (2023). Ensemble learning-based estimation of reference evapotranspiration (ET o ). Internet of Things. 24. 100973–100973. 14 indexed citations
10.
Bashir, Rab Nawaz, Arfat Ahmad Khan, Muhammad Tausif, et al.. (2023). Intelligent optimization of Reference Evapotranspiration (ETo) for precision irrigation. Journal of Computational Science. 69. 102025–102025. 17 indexed citations
11.
Bashir, Rab Nawaz, Imran Sarwar Bajwa, Muhammad Waseem Iqbal, et al.. (2023). Leaching Fraction (LF) of Irrigation Water for Saline Soils Using Machine Learning. Intelligent Automation & Soft Computing. 36(2). 1915–1930. 4 indexed citations
12.
Bashir, Rab Nawaz, et al.. (2023). Smart reference evapotranspiration using Internet of Things and hybrid ensemble machine learning approach. Internet of Things. 24. 100962–100962. 20 indexed citations
13.
Liu, Zhiyan, Rab Nawaz Bashir, Salman Iqbal, et al.. (2022). Internet of Things (IoT) and Machine Learning Model of Plant Disease Prediction–Blister Blight for Tea Plant. IEEE Access. 10. 44934–44944. 75 indexed citations
14.
Hu, Zhiming, et al.. (2022). Machine Learning Based Prediction of Reference Evapotranspiration (ET0) Using IoT. IEEE Access. 10. 70526–70540. 26 indexed citations
15.
Khan, Arfat Ahmad, Rab Nawaz Bashir, Rashid Jahangir, et al.. (2022). Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation. IEEE Access. 10. 110050–110063. 13 indexed citations
16.
Khan, Arfat Ahmad, Muhammad Faheem, Rab Nawaz Bashir, Chitapong Wechtaisong, & Muhammad Zahid Abbas. (2022). Internet of Things (IoT) Assisted Context Aware Fertilizer Recommendation. IEEE Access. 10. 129505–129519. 48 indexed citations
17.
Bashir, Rab Nawaz, Imran Sarwar Bajwa, & Malik Muhammad Ali Shahid. (2019). Internet of Things and Machine-Learning-Based Leaching Requirements Estimation for Saline Soils. IEEE Internet of Things Journal. 7(5). 4464–4472. 39 indexed citations
18.
Bashir, Rab Nawaz, et al.. (2014). Human Computer Interaction (HCI) in Ubiquitous Computing. International journal of innovation and applied studies. 9(2). 534–540. 10 indexed citations
19.
Qadri, Salman, et al.. (2014). Issues of Implementation of CMMI in Pakistan Software Industry. International journal of innovation and applied studies. 9(2). 547–564. 4 indexed citations
20.
Qadri, Salman, et al.. (2014). Testing Automation in Agile Software Development. International journal of innovation and applied studies. 9(2). 541–546. 2 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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