Irshad Ahmad

827 total citations
30 papers, 620 citations indexed

About

Irshad Ahmad is a scholar working on Plant Science, Geophysics and Analytical Chemistry. According to data from OpenAlex, Irshad Ahmad has authored 30 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 7 papers in Geophysics and 7 papers in Analytical Chemistry. Recurrent topics in Irshad Ahmad's work include Smart Agriculture and AI (9 papers), earthquake and tectonic studies (7 papers) and Geological and Geochemical Analysis (7 papers). Irshad Ahmad is often cited by papers focused on Smart Agriculture and AI (9 papers), earthquake and tectonic studies (7 papers) and Geological and Geochemical Analysis (7 papers). Irshad Ahmad collaborates with scholars based in Pakistan, Saudi Arabia and United States. Irshad Ahmad's co-authors include Shafiqur Rehman, Sardar Khan, Abdul Khaliq, M. Tahir Shah, Abid Hussain, Muhammad Hameed Siddiqi, Shuhab D. Khan, Muhammad Asif Khan, Khalid Haseeb and Suziah Sulaiman and has published in prestigious journals such as Computers in Human Behavior, IEEE Access and Journal of Environmental Management.

In The Last Decade

Irshad Ahmad

30 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irshad Ahmad Pakistan 13 169 138 109 98 68 30 620
Mohammed Benbrahim Morocco 12 42 0.2× 80 0.6× 101 0.9× 37 0.4× 79 1.2× 55 573
Bernard Guy France 13 182 1.1× 33 0.2× 55 0.5× 155 1.6× 136 2.0× 65 701
Qinghua Qinghua China 14 39 0.2× 53 0.4× 83 0.8× 27 0.3× 64 0.9× 110 640
R. Sivakumar India 13 18 0.1× 81 0.6× 125 1.1× 64 0.7× 87 1.3× 112 605
Osama Elsherbiny Egypt 16 13 0.1× 59 0.4× 231 2.1× 80 0.8× 47 0.7× 39 742
Ziqi Ma China 8 37 0.2× 22 0.2× 21 0.2× 41 0.4× 85 1.3× 12 414
Liqiang Wang China 19 149 0.9× 11 0.1× 56 0.5× 100 1.0× 26 0.4× 62 913
Lijuan Wang China 14 15 0.1× 32 0.2× 104 1.0× 36 0.4× 7 0.1× 63 724

Countries citing papers authored by Irshad Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Irshad Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irshad Ahmad

This figure shows the co-authorship network connecting the top 25 collaborators of Irshad Ahmad. A scholar is included among the top collaborators of Irshad Ahmad 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 Irshad Ahmad. Irshad Ahmad 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.
Khan, Jawad, Asfandyar Khan, Madallah Alruwaili, et al.. (2025). A Hybrid Framework Combining Rule-Based and Deep Learning Approaches for Data-Driven Verdict Recommendations. Computers, materials & continua/Computers, materials & continua (Print). 83(3). 5345–5371. 1 indexed citations
2.
Alhwaiti, Yousef, Ibrahim Alrashdi, Irshad Ahmad, & Abdullah Khan. (2024). A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning. Computers in Human Behavior. 156. 108213–108213. 4 indexed citations
3.
Siddiqi, Muhammad Hameed, et al.. (2024). A Comprehensive Exploration of L-UNet Approach: Revolutionizing Medical Image Segmentation. IEEE Access. 12. 140769–140791. 1 indexed citations
4.
Haseeb, Khalid, Irshad Ahmad, Mohammad Siraj, Naveed Abbas, & Gwanggil Jeon. (2024). Multi-Criteria Decision-Making Framework with Fuzzy Queries for Multimedia Data Fusion. ACM Transactions on Asian and Low-Resource Language Information Processing. 2 indexed citations
5.
Liu, Yaoyang, et al.. (2024). Machine learning based modeling for estimation of drug solubility in supercritical fluid by adjusting important parameters. Chemometrics and Intelligent Laboratory Systems. 254. 105241–105241. 10 indexed citations
6.
Siddiqi, Muhammad Hameed, Irshad Ahmad, Yousef Alhwaiti, & Faheem Khan. (2024). Facial Expression Recognition for Healthcare Monitoring Systems Using Neural Random Forest. IEEE Journal of Biomedical and Health Informatics. 29(1). 30–42. 1 indexed citations
7.
Ahmad, Irshad, et al.. (2023). Improving Alzheimer’s Disease Classification in Brain MRI Images Using a Neural Network Model Enhanced with PCA and SWLDA. Healthcare. 11(18). 2551–2551. 4 indexed citations
8.
Alhwaiti, Yousef, Muhammad Hameed Siddiqi, & Irshad Ahmad. (2023). An Adaptive Edge Detection Algorithm for Weed Image Analysis. Computer Systems Science and Engineering. 47(3). 3011–3031. 1 indexed citations
9.
Elhoseny, Mohamed, Khalid Haseeb, Asghar Ali Shah, et al.. (2021). IoT Solution for AI-Enabled PRIVACY-PREServing with Big Data Transferring: An Application for Healthcare Using Blockchain. Energies. 14(17). 5364–5364. 25 indexed citations
10.
11.
Khan, Sajid Ullah, et al.. (2018). MRI Imaging, Comparison of MRI with other Modalities, Noise in MRI Images and Machine Learning Techniques for Noise Removal: A Review. Current Medical Imaging Formerly Current Medical Imaging Reviews. 15(3). 243–254. 16 indexed citations
12.
Khan, Shuhab D., et al.. (2012). Lateral structural variation along the Kalabagh Fault Zone, NW Himalayan foreland fold-and-thrust belt, Pakistan. Journal of Asian Earth Sciences. 50. 79–87. 23 indexed citations
13.
Ishaq, Muhammad, F. Akbar Jan, Murad Ali Khan, et al.. (2012). Effect of mercury and arsenic from industrial effluents on the drinking water and comparison of the water quality of polluted and non-polluted areas: a case study of Peshawar and Lower Dir. Environmental Monitoring and Assessment. 185(2). 1483–1494. 13 indexed citations
14.
Ahmad, Irshad. (2009). A real time specific weed discrimination system using multi-level wavelet decomposition. 20 indexed citations
15.
Siddiqi, Muhammad Hameed, Irshad Ahmad, & Suziah Sulaiman. (2009). Weed Recognition Based on Erosion and Dilation Segmentation Algorithm. 224–228. 28 indexed citations
16.
Khan, Sardar, Irshad Ahmad, M. Tahir Shah, Shafiqur Rehman, & Abdul Khaliq. (2009). Use of constructed wetland for the removal of heavy metals from industrial wastewater. Journal of Environmental Management. 90(11). 3451–3457. 193 indexed citations
17.
Ahmad, Irshad, et al.. (2008). Cenozoic kinematic history of the Kohistan fault in the Pakistan Himalaya. Geological Society of America Bulletin. 120(11-12). 1428–1440. 31 indexed citations
18.
Ahmad, Irshad, et al.. (2007). Weed Classification Using Histogram Maxima With Threshold For Selective Herbicide Applications. Zenodo (CERN European Organization for Nuclear Research). 1(1). 1–4. 9 indexed citations
19.
Ahmad, Irshad, et al.. (2003). Age and tectonic implications of granitoids from North Pakistan. Journal of the Virtual Explorer. 11. 9 indexed citations
20.
DiPietro, Joseph A., et al.. (1993). Stratigraphy south of the Main Mantle Thrust, Lower Swat, Pakistan. Geological Society London Special Publications. 74(1). 207–220. 46 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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