Mohammad Nadeem

1.3k total citations
61 papers, 772 citations indexed

About

Mohammad Nadeem is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Nadeem has authored 61 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Nadeem's work include Software Engineering Techniques and Practices (10 papers), Software Engineering Research (9 papers) and Metaheuristic Optimization Algorithms Research (7 papers). Mohammad Nadeem is often cited by papers focused on Software Engineering Techniques and Practices (10 papers), Software Engineering Research (9 papers) and Metaheuristic Optimization Algorithms Research (7 papers). Mohammad Nadeem collaborates with scholars based in India, Saudi Arabia and Pakistan. Mohammad Nadeem's co-authors include Mohammad Shameem, Faisal Anwer, Arif Ali Khan, Shahab Saquib Sohail, Dag Øivind Madsen, Faiza Farhat, Yassine Himeur, Haider Banka, Muhammad Azeem Akbar and Shadi Atalla and has published in prestigious journals such as Blood, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mohammad Nadeem

52 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Nadeem India 15 196 193 95 88 67 61 772
Sapna Juneja India 21 336 1.7× 254 1.3× 162 1.7× 35 0.4× 242 3.6× 85 1.2k
Yuan Wu China 6 533 2.7× 157 0.8× 86 0.9× 86 1.0× 77 1.1× 18 1.1k
Mubarak Almutairi Saudi Arabia 18 277 1.4× 123 0.6× 161 1.7× 20 0.2× 145 2.2× 48 990
Panagiotis Papapetrou Sweden 17 594 3.0× 225 1.2× 161 1.7× 61 0.7× 110 1.6× 94 1.3k
Maged Nasser Malaysia 11 366 1.9× 79 0.4× 38 0.4× 85 1.0× 151 2.3× 38 717
Jinan Fiaidhi Canada 16 305 1.6× 209 1.1× 74 0.8× 19 0.2× 155 2.3× 123 806
Md. Rezaul Karim Germany 16 464 2.4× 119 0.6× 77 0.8× 72 0.8× 160 2.4× 38 1.1k
Sugato Bagchi United States 13 271 1.4× 70 0.4× 60 0.6× 31 0.4× 64 1.0× 29 724
Abdur Rehman Pakistan 17 492 2.5× 378 2.0× 111 1.2× 21 0.2× 355 5.3× 59 1.1k
Ismail Keshta Saudi Arabia 15 232 1.2× 388 2.0× 97 1.0× 29 0.3× 217 3.2× 93 925

Countries citing papers authored by Mohammad Nadeem

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Nadeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Nadeem

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Nadeem. A scholar is included among the top collaborators of Mohammad Nadeem 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 Mohammad Nadeem. Mohammad Nadeem 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.
Nadeem, Mohammad, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, & Amir Hussain. (2025). Gender Bias in Text-to-Video Generation Models: A Case Study of Sora. IEEE Intelligent Systems. 40(3). 10–15. 1 indexed citations
2.
Nadeem, Mohammad, et al.. (2025). South Asian biases in language and vision models. Nature Machine Intelligence. 7(11). 1775–1777.
3.
Nadeem, Mohammad, et al.. (2025). A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models. IEEE Transactions on Big Data. 11(3). 1001–1012.
4.
Nadeem, Mohammad, et al.. (2025). Batch framework enabled particle swarm optimization for solving CEED problem. AIP conference proceedings. 3253. 20002–20002.
5.
Nadeem, Mohammad, et al.. (2024). A Systematic Literature Review for Investigating DevOps Metrics to Implement in Software Development Organizations. Journal of Software Evolution and Process. 37(1).
6.
Nadeem, Mohammad, et al.. (2024). Chaos based image encryption scheme to secure sensitive multimedia content in cloud storage. Expert Systems with Applications. 257. 125050–125050. 34 indexed citations
7.
Nadeem, Mohammad, et al.. (2024). Fake News Detection Using Evolutionary Ensemble Deep Learning. 161–166. 3 indexed citations
8.
Nadeem, Mohammad, et al.. (2024). Are Foundation Models the Next-Generation Social Media Content Moderators?. IEEE Intelligent Systems. 39(6). 70–80. 2 indexed citations
9.
Nadeem, Mohammad, et al.. (2024). A Novel Batch Framework-Based Performance Improvement of Evolutionary Algorithm. SN Computer Science. 5(2).
10.
Nadeem, Mohammad, et al.. (2024). Metaheuristic-based cost-effective predictive modeling for DevOps project success. Applied Soft Computing. 163. 111834–111834. 2 indexed citations
11.
Nadeem, Mohammad, et al.. (2024). Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition. Cognitive Computation. 16(5). 2566–2579. 13 indexed citations
12.
Nadeem, Mohammad, et al.. (2023). A new modified Skew Tent Map and its application in pseudo-random number generator. Computer Standards & Interfaces. 89. 103826–103826. 15 indexed citations
13.
Farhat, Faiza, Beenish Moalla Chaudhry, Mohammad Nadeem, Shahab Saquib Sohail, & Dag Øivind Madsen. (2023). Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard. JMIR Medical Education. 10. e51523–e51523. 35 indexed citations
14.
Sohail, Shahab Saquib, Faiza Farhat, Yassine Himeur, et al.. (2023). The Future of GPT: A Taxonomy of Existing ChatGPT Research, Current Challenges, and Possible Future Directions. SSRN Electronic Journal. 39 indexed citations
15.
Shameem, Mohammad, et al.. (2023). Genetic algorithm based probabilistic model for agile project success in global software development. Applied Soft Computing. 135. 109998–109998. 18 indexed citations
16.
Nadeem, Mohammad, et al.. (2022). Helping Hearing-Impaired in Emergency Situations: A Deep Learning-Based Approach. IEEE Access. 10. 8502–8517. 39 indexed citations
17.
Anwer, Faisal, et al.. (2022). An Effective and enhanced RSA based Public Key Encryption Scheme (XRSA). International Journal of Information Technology. 14(5). 2645–2656. 11 indexed citations
18.
19.
Loya, Asif, Mohammad Nadeem, & Muhammed Aasim Yusuf. (2014). Use of Ancillary Techniques in Improving the Yield of Samples Obtained at Endoscopic Ultrasound-Guided Fine Needle Aspiration of Thoracic and Abdominal Lymph Nodes. Acta Cytologica. 58(2). 192–197. 3 indexed citations
20.
Nadeem, Mohammad, et al.. (2011). Localised fungal infection in a prosthetic mesh treated conservatively. BMJ Case Reports. 2011. bcr0720103177–bcr0720103177. 4 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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