Nazeeruddin Mohammad

1.5k total citations
85 papers, 914 citations indexed

About

Nazeeruddin Mohammad is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Nazeeruddin Mohammad has authored 85 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Networks and Communications, 20 papers in Information Systems and 20 papers in Artificial Intelligence. Recurrent topics in Nazeeruddin Mohammad's work include Network Security and Intrusion Detection (12 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers) and Advanced Malware Detection Techniques (8 papers). Nazeeruddin Mohammad is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers) and Advanced Malware Detection Techniques (8 papers). Nazeeruddin Mohammad collaborates with scholars based in Saudi Arabia, India and United States. Nazeeruddin Mohammad's co-authors include Dawood Ashraf, Ghazanfar Latif, Jaafar Alghazo, Majid Ali Khan, Abul Bashar, Ghassen Ben Brahim, Mayez Al-Mouhamed, Alireza Jolfaei, D. N. F. Awang Iskandar and Naeem Syed and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Nazeeruddin Mohammad

76 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nazeeruddin Mohammad Saudi Arabia 17 220 158 147 138 134 85 914
Ghassan F. Issa Jordan 17 162 0.7× 313 2.0× 52 0.4× 208 1.5× 10 0.1× 54 1.1k
Ying Xie China 15 285 1.3× 268 1.7× 201 1.4× 317 2.3× 5 0.0× 81 977
Gaurang Bansal Singapore 15 360 1.6× 211 1.3× 99 0.7× 350 2.5× 7 0.1× 31 981
Jafreezal Jaafar Malaysia 17 103 0.5× 429 2.7× 51 0.3× 289 2.1× 5 0.0× 149 1.2k
Tanjim Mahmud Bangladesh 23 100 0.5× 461 2.9× 15 0.1× 216 1.6× 18 0.1× 90 1.2k
Jason Ng United Arab Emirates 15 218 1.0× 58 0.4× 66 0.4× 184 1.3× 3 0.0× 54 795
Ali Yahyaouy Morocco 17 81 0.4× 363 2.3× 14 0.1× 196 1.4× 32 0.2× 131 966
Yeh-Cheng Chen United States 15 185 0.8× 231 1.5× 24 0.2× 226 1.6× 7 0.1× 68 696
Armir Bujari Italy 19 838 3.8× 95 0.6× 55 0.4× 138 1.0× 4 0.0× 113 1.4k
Teddy Mantoro Indonesia 17 225 1.0× 406 2.6× 43 0.3× 253 1.8× 7 0.1× 202 1.2k

Countries citing papers authored by Nazeeruddin Mohammad

Since Specialization
Citations

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

Fields of papers citing papers by Nazeeruddin Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nazeeruddin Mohammad

This figure shows the co-authorship network connecting the top 25 collaborators of Nazeeruddin Mohammad. A scholar is included among the top collaborators of Nazeeruddin Mohammad 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 Nazeeruddin Mohammad. Nazeeruddin Mohammad 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.
Mohammad, Nazeeruddin, et al.. (2025). THE-TAFL: Transforming Healthcare Edge with Transformer-based Adaptive Federated Learning and Learning Rate Optimization. Internet of Things. 32. 101605–101605. 1 indexed citations
2.
Khan, Salman A., et al.. (2025). Distributed Denial of Service Attack Detection in Software-Defined Networks Using Decision Tree Algorithms. Future Internet. 17(4). 136–136. 4 indexed citations
3.
Latif, Ghazanfar, et al.. (2024). Combating medical image tampering using deep transfer learning. AIP conference proceedings. 3063. 40002–40002. 2 indexed citations
4.
Kumar, Prabhat, Randhir Kumar, Alireza Jolfaei, & Nazeeruddin Mohammad. (2024). An Automated Threat Intelligence Framework for Vehicle–Road Cooperation Systems. IEEE Internet of Things Journal. 11(22). 35964–35974. 8 indexed citations
5.
Gollapalli, Mohammed, et al.. (2024). Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach. Big Data and Cognitive Computing. 8(9). 108–108. 10 indexed citations
6.
7.
Kumar, Randhir, Prabhat Kumar, Ahamed Aljuhani, et al.. (2023). Secure Data Dissemination Scheme for Digital Twin Empowered Vehicular Networks in Open RAN. IEEE Transactions on Vehicular Technology. 73(7). 9234–9246. 10 indexed citations
8.
Babu, E. Suresh, et al.. (2023). Cooperative IDS for Detecting Collaborative Attacks in RPL-AODV Protocol in Internet of Everything. Journal of Database Management. 34(2). 1–33. 2 indexed citations
9.
Latif, Ghazanfar, Nazeeruddin Mohammad, & Jaafar Alghazo. (2023). Plant Seedling Classification Using Preprocessed Deep CNN. 1 indexed citations
10.
Latif, Ghazanfar, Nazeeruddin Mohammad, & Jaafar Alghazo. (2023). DeepFruit: A dataset of fruit images for fruit classification and calories calculation. Data in Brief. 50. 109524–109524. 8 indexed citations
11.
Pilotti, Maura, et al.. (2022). Is Initial Performance in a Course Informative? Machine Learning Algorithms as Aids for the Early Detection of At-Risk Students. Electronics. 11(13). 2057–2057. 7 indexed citations
12.
Chaeikar, Saman Shojae, Alireza Jolfaei, & Nazeeruddin Mohammad. (2022). AI-Enabled Cryptographic Key Management Model for Secure Communications in the Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. 24(4). 4589–4598. 19 indexed citations
13.
Ramesh, Dharavath, et al.. (2022). Fibonacci tree structure based privacy preserving public auditing for IoT enabled data in cloud environment. Computers & Electrical Engineering. 100. 107890–107890. 3 indexed citations
14.
Syed, Naeem, et al.. (2022). Securing the Smart City Airspace: Drone Cyber Attack Detection through Machine Learning. Future Internet. 14(7). 205–205. 33 indexed citations
15.
Latif, Ghazanfar, Abul Bashar, D. N. F. Awang Iskandar, et al.. (2022). Multiclass tumor identification using combined texture and statistical features. Medical & Biological Engineering & Computing. 61(1). 45–59. 5 indexed citations
16.
Ghosh, Uttam, et al.. (2022). Weather Prediction from Imbalanced Data Stream using 1D-Convolutional Neural Network. 1–6. 4 indexed citations
17.
Mohammad, Nazeeruddin, et al.. (2021). Solar Winds Hack: In-Depth Analysis and Countermeasures. 1–7. 36 indexed citations
18.
Mohammad, Nazeeruddin, et al.. (2019). Formal Analysis of Human-Assisted Smart City Emergency Services. IEEE Access. 7. 60376–60388. 28 indexed citations
19.
Mohammad, Nazeeruddin & Dawood Ashraf. (2015). The market timing ability and return performance of Islamic equities: An empirical study. Pacific-Basin Finance Journal. 34. 169–183. 32 indexed citations
20.
Al-Mouhamed, Mayez, O. Toker, Asif Iqbal, & Nazeeruddin Mohammad. (2004). A distributed framework for relaying stereo vision for telerobotics. 221–225. 1 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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