Adeel Ahmed

1.2k total citations · 1 hit paper
65 papers, 726 citations indexed

About

Adeel Ahmed is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Adeel Ahmed has authored 65 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 17 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Adeel Ahmed's work include Recommender Systems and Techniques (6 papers), Software Engineering Research (5 papers) and Image Retrieval and Classification Techniques (5 papers). Adeel Ahmed is often cited by papers focused on Recommender Systems and Techniques (6 papers), Software Engineering Research (5 papers) and Image Retrieval and Classification Techniques (5 papers). Adeel Ahmed collaborates with scholars based in Pakistan, United Kingdom and Saudi Arabia. Adeel Ahmed's co-authors include Sabeen Hussain Bhatti, Khalid Saleem, İsmail Gölgeci̇, Ahmad Arslan, Osman Khalid, Wan Mohd Hirwani Wan Hussain, Samuel Fosso Wamba, Alberto Ferraris, Imran Ali Khan and Muhammad Junaid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Adeel Ahmed

49 papers receiving 689 citations

Hit Papers

Digital platform capability and organizational agility of... 2022 2026 2023 2024 2022 50 100 150

Peers

Adeel Ahmed
Adeel Ahmed
Citations per year, relative to Adeel Ahmed Adeel Ahmed (= 1×) peers Mazlina Abdul Majid

Countries citing papers authored by Adeel Ahmed

Since Specialization
Citations

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

Fields of papers citing papers by Adeel Ahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adeel Ahmed

This figure shows the co-authorship network connecting the top 25 collaborators of Adeel Ahmed. A scholar is included among the top collaborators of Adeel Ahmed 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 Adeel Ahmed. Adeel Ahmed 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.
Alahmadi, Tahani Jaser, et al.. (2025). Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network. PeerJ Computer Science. 11. e2994–e2994.
2.
Zhu, Zihan, et al.. (2025). Long-term forecasting of solar and wind energy patterns using deep learning. PeerJ Computer Science. 11. e3114–e3114.
3.
Akhunzada, Adnan, et al.. (2025). Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review. PeerJ Computer Science. 11. e2476–e2476. 3 indexed citations
5.
Ahmed, Adeel, Ikram Ud Din, Ahmad Almogren, et al.. (2024). Dynamic Property Preservation in AIoT: A Machine Learning Approach for Data-Efficient Model Transformation. IEEE Access. 12. 130707–130722. 1 indexed citations
6.
Rehman, Amjad, et al.. (2024). A framework for generating recommendations based on trust in an informal e-learning environment. PeerJ Computer Science. 10. e2386–e2386. 3 indexed citations
8.
9.
Amin, Rashid, et al.. (2023). Skin Cancer Malignancy Classification and Segmentation Using Machine Learning Algorithms. JOM. 75(8). 3121–3135. 5 indexed citations
10.
Ahmed, Adeel, et al.. (2023). Systematic literature review on global software development based software cost estimation models and cost drivers. Indonesian Journal of Electrical Engineering and Computer Science. 32(3). 1485–1485. 2 indexed citations
11.
Guo, Yuanyuan, Fengyuan Gao, Adeel Ahmed, et al.. (2023). Immunotherapy: cancer immunotherapy and its combination with nanomaterials and other therapies. Journal of Materials Chemistry B. 11(36). 8586–8604. 20 indexed citations
12.
Wahid, Abdul, et al.. (2023). Behavioral Authentication for Smartphones backed by "Something you Process". 3(2). 63–83. 1 indexed citations
13.
Abdulhamid, Shafi’i Muhammad, et al.. (2023). SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework. IEEE Access. 11. 76751–76767. 4 indexed citations
14.
Sohail, Hamza, Mahmood ul Hassan, M. A. Elmagzoub, et al.. (2023). BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet. Sensors. 23(11). 5259–5259. 14 indexed citations
15.
Gulzar, Muhammad Majid, et al.. (2021). œ-Boids Consensus Algorithm using Adaptive Flocking Model. 1–6. 6 indexed citations
16.
Siddiqui, Ghazanfar Farooq, et al.. (2020). A Dynamic Three-Bit Image Steganography Algorithm for Medical and e-Healthcare Systems. IEEE Access. 8. 181893–181903. 29 indexed citations
17.
Ahmed, Adeel, et al.. (2017). Ontology Driven Requirement Specification. SHILAP Revista de lepidopterología. 15(2).
20.
Ahmed, Adeel, et al.. (2010). Opportunities and Threats Created by Extension Field Staff Specialization.. TigerPrints (Clemson University). 48(1). 0–0. 8 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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