Mohd Anjum

563 total citations
52 papers, 302 citations indexed

About

Mohd Anjum is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Computer Networks and Communications. According to data from OpenAlex, Mohd Anjum has authored 52 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 8 papers in Industrial and Manufacturing Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Mohd Anjum's work include Multi-Criteria Decision Making (9 papers), Municipal Solid Waste Management (8 papers) and IoT and Edge/Fog Computing (6 papers). Mohd Anjum is often cited by papers focused on Multi-Criteria Decision Making (9 papers), Municipal Solid Waste Management (8 papers) and IoT and Edge/Fog Computing (6 papers). Mohd Anjum collaborates with scholars based in India, Saudi Arabia and South Korea. Mohd Anjum's co-authors include Sana Shahab, Md. Asraful Haque, Nesar Ahmad, Hong Min, Vladimir Šimić, Ashit Kumar Dutta, Lei Yu, Zeeshan Ali, Melfi Alrasheedi and Naoufel Kraïem and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mohd Anjum

41 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohd Anjum India	10	59	52	45	42	40	52	302
Ayesha Atta Pakistan	8	14 0.2×	50 1.0×	3 0.1×	10 0.2×	5 0.1×	12	350
Vassilis Katsouros Greece	12	81 1.4×	21 0.4×	2 0.0×	22 0.5×	8 0.2×	57	673
Minakshi Memoria India	12	9 0.2×	74 1.4×	4 0.1×	17 0.4×	8 0.2×	64	472
D. Kavitha India	10	8 0.1×	99 1.9×	6 0.1×	7 0.2×	5 0.1×	39	338
H. Azath India	9	5 0.1×	86 1.7×	12 0.3×	5 0.1×	9 0.2×	28	348
Francisco Mugica Spain	13	7 0.1×	44 0.8×	3 0.1×	65 1.5×	19 0.5×	52	490
Jürgen Dunkel Germany	11	8 0.1×	84 1.6×	3 0.1×	23 0.5×	7 0.2×	46	383
Sepideh Pashami Sweden	11	6 0.1×	17 0.3×	7 0.2×	8 0.2×	19 0.5×	41	307
Ji-Won Baek South Korea	12	12 0.2×	84 1.6×	1 0.0×	10 0.2×	6 0.1×	41	416
P. Vidya Sagar India	7	29 0.5×	50 1.0×	13 0.3×	9 0.2×	2 0.1×	26	295

Countries citing papers authored by Mohd Anjum

Since Specialization

Citations

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

Fields of papers citing papers by Mohd Anjum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohd Anjum

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Anjum. A scholar is included among the top collaborators of Mohd Anjum 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 Mohd Anjum. Mohd Anjum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Anjum, Mohd, Naoufel Kraïem, Hong Min, et al.. (2025). Big data-driven agriculture: a novel framework for resource management and sustainability. Cogent Food & Agriculture. 11(1). 1 indexed citations

Anjum, Mohd, Sana Shahab, Shabir Ahmad, & Taeg Keun Whangbo. (2025). A Novel Fragmentation-based Approach for Accurate Segmentation of Small-sized Brain Tumors in MRI Images. Current Medical Imaging Formerly Current Medical Imaging Reviews. 21. e15734056305784–e15734056305784.

Shahab, Sana, Naoufel Kraïem, Ashit Kumar Dutta, et al.. (2025). Overcoming challenges in leveraging blockchain technology: Entropy-based q-rung orthopair fuzzy model for benchmarking application barriers. Engineering Applications of Artificial Intelligence. 162. 112433–112433.

Anjum, Mohd, Waseem Ahmad, Sana Shahab, et al.. (2025). Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning. Scientific Reports. 15(1). 29555–29555.

Anjum, Mohd, et al.. (2025). GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence. Scientific Reports. 15(1). 28050–28050. 1 indexed citations

Shahab, Sana, et al.. (2025). Behavioral Patterns in Micro-lending: Enhancing Credit Risk Assessment with Collaborative Filtering and Federated Learning. International Journal of Computational Intelligence Systems. 18(1). 1 indexed citations

Anjum, Mohd, Naoufel Kraïem, Hong Min, et al.. (2025). Optimizing sustainability: information aggregation in smart factories for energy efficiency enhancement. Scientific Reports. 15(1). 8603–8603.

Yu, Lei, et al.. (2024). Adaptive solutions for metaverse urban mobility through decision-making and blockchain. Alexandria Engineering Journal. 107. 1–14. 9 indexed citations

Anjum, Mohd, Naoufel Kraïem, Min Hong, Ashit Kumar Dutta, & Yousef Ibrahim Daradkeh. (2024). Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing. Computer Modeling in Engineering & Sciences. 142(1). 357–384.

10.

Anjum, Mohd, Vladimir Šimić, Hong Min, & Naoufel Kraïem. (2024). Transformative Pathways to Metaverse Integration in Intelligent Transportation Systems Using Pythagorean Fuzzy CRITIC-AROMAN Method. IEEE Access. 12. 119383–119404. 4 indexed citations

11.

Anjum, Mohd, Sana Shahab, Shabir Ahmad, Sami Dhahbi, & Taeg Keun Whangbo. (2024). Aggregated Pattern Classification Method for improving neural disorder stage detection. Brain and Behavior. 14(8). e3519–e3519. 2 indexed citations

12.

Alkahtani, Badr Saad T., et al.. (2024). Innovative Bonferroni Mean Product and Linear Diophantine Fuzzy Bipartite Decision Graphs With Application to Sustainable Development. IEEE Access. 12. 143675–143694. 1 indexed citations

13.

Anjum, Mohd, et al.. (2024). Advancing Sustainable Urban Development: Navigating Complexity with Spherical Fuzzy Decision Making. Symmetry. 16(6). 670–670. 1 indexed citations

14.

Ali, Syed Farooq, et al.. (2023). Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition. IEEE Access. 11. 118474–118489. 3 indexed citations

15.

Anjum, Mohd & Sana Shahab. (2023). Improving Autonomous Vehicle Controls and Quality Using Natural Language Processing-Based Input Recognition Model. Sustainability. 15(7). 5749–5749. 8 indexed citations

16.

Anjum, Mohd, et al.. (2023). An In-Vehicle Behaviour-Based Response Model for Traffic Monitoring and Driving Assistance in the Context of Smart Cities. Electronics. 12(7). 1644–1644. 6 indexed citations

17.

Haq, Shams Ul, Sibghat Ullah Bazai, Shah Marjan, et al.. (2023). Reseek-Arrhythmia: Empirical Evaluation of ResNet Architecture for Detection of Arrhythmia. Diagnostics. 13(18). 2867–2867. 2 indexed citations

18.

Anjum, Mohd, et al.. (2023). Identifying Adversary Impact Using End User Verifiable Key with Permutation Framework. Electronics. 12(5). 1136–1136. 1 indexed citations

19.

Anjum, Mohd, Sana Shahab, & Yang Yu. (2023). Syndrome Pattern Recognition Method Using Sensed Patient Data for Neurodegenerative Disease Progression Identification. Diagnostics. 13(5). 887–887. 1 indexed citations

20.

Anjum, Mohd, et al.. (2018). Garbage localization based on weakly supervised learning in Deep Convolutional Neural Network. 1108–1113. 16 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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