Mohammed Rizwanullah

1.8k total citations · 1 hit paper
88 papers, 1.1k citations indexed

About

Mohammed Rizwanullah is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammed Rizwanullah has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammed Rizwanullah's work include Head and Neck Cancer Studies (8 papers), Sentiment Analysis and Opinion Mining (8 papers) and Blockchain Technology Applications and Security (7 papers). Mohammed Rizwanullah is often cited by papers focused on Head and Neck Cancer Studies (8 papers), Sentiment Analysis and Opinion Mining (8 papers) and Blockchain Technology Applications and Security (7 papers). Mohammed Rizwanullah collaborates with scholars based in Saudi Arabia, Egypt and United Kingdom. Mohammed Rizwanullah's co-authors include Abu Sarwar Zamani, Manar Ahmed Hamza, Anwer Mustafa Hilal, Fahd N. Al‐Wesabi, Abdelwahed Motwakel, Hisham Mehanna, Christopher M. Nutting, Janet Dunn, Hoda Al‐Booz and Christopher C. McConkey and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Mohammed Rizwanullah

83 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PET-CT Surveillance versus Neck Dissection in Advanced Head and Neck Cancer

2016 384 citations Mohammed Rizwanullah et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammed Rizwanullah Saudi Arabia	14	370	263	214	212	209	88	1.1k
Tsair-Fwu Lee Taiwan	20	430 1.2×	266 1.0×	181 0.8×	419 2.0×	234 1.1×	112	1.2k
Chaofeng Li China	20	90 0.2×	204 0.8×	186 0.9×	84 0.4×	45 0.2×	78	1.3k
Mohammed Elmusrati Finland	23	211 0.6×	330 1.3×	89 0.4×	45 0.2×	41 0.2×	121	1.9k
N. Ueda Japan	20	89 0.2×	78 0.3×	532 2.5×	144 0.7×	91 0.4×	93	1.7k
Zhiguo Zhou China	17	101 0.3×	540 2.1×	60 0.3×	269 1.3×	35 0.2×	36	862
Adrien Depeursinge Switzerland	26	120 0.3×	1.3k 4.8×	159 0.7×	531 2.5×	83 0.4×	117	2.3k
Avishek Chatterjee Netherlands	17	78 0.2×	815 3.1×	103 0.5×	283 1.3×	66 0.3×	38	1.2k
Jared Katzman United States	3	31 0.1×	374 1.4×	131 0.6×	182 0.9×	62 0.3×	7	1.0k
Aamir Hussain Pakistan	16	53 0.1×	33 0.1×	35 0.2×	68 0.3×	168 0.8×	56	1.1k
Gilmer Valdés United States	24	54 0.1×	1.3k 4.9×	85 0.4×	490 2.3×	74 0.4×	59	2.0k

Countries citing papers authored by Mohammed Rizwanullah

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Rizwanullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Rizwanullah

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

All Works

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20 of 20 papers shown

Alazwari, Sana, et al.. (2024). Artificial rabbits optimization with transfer learning based deepfake detection model for biometric applications. Ain Shams Engineering Journal. 15(12). 103057–103057. 6 indexed citations

Alzahrani, Jaber S., et al.. (2024). Indoor Activity Monitoring Using Chaotic Dwarf Mongoose Optimization with Deep Learning for Elderly and Visually Impaired People. SHILAP Revista de lepidopterología. 3(7). 5 indexed citations

Almuqren, Latifah, et al.. (2024). Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks. IEEE Access. 12. 35300–35308. 6 indexed citations

Maashi, Mashael, et al.. (2024). Deep convolutional neural network-based Leveraging Lion Swarm Optimizer for gesture recognition and classification. AIMS Mathematics. 9(4). 9380–9393. 2 indexed citations

Duhayyim, Mesfer Al, Jaber S. Alzahrani, Abdullah Mohamed, et al.. (2023). Multi-Versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis on Arabic Corpus. Computer Systems Science and Engineering. 47(3). 3049–3065. 1 indexed citations

Alohali, Manal Abdullah, et al.. (2023). Metaheuristics with deep learning driven phishing detection for sustainable and secure environment. Sustainable Energy Technologies and Assessments. 56. 103114–103114. 12 indexed citations

Zamani, Abu Sarwar, et al.. (2023). Deep convolutional neural network to predict ground water level. Spatial Information Research. 1 indexed citations

Alqahtani, Hamed, et al.. (2023). Blockchain with Quantum Mayfly Optimization-Based Clustering Scheme for Secure and Smart Transport Systems. Sustainability. 15(15). 11782–11782. 3 indexed citations

Albraikan, Amani Abdulrahman, Majdi Khalid, Nuha Alruwais, et al.. (2023). Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model. IEEE Access. 11. 71616–71623. 3 indexed citations

10.

Alrayes, Fatma S., Mashael M. Asiri, Mashael Maashi, et al.. (2023). Waste classification using vision transformer based on multilayer hybrid convolution neural network. Urban Climate. 49. 101483–101483. 28 indexed citations

11.

Zamani, Abu Sarwar, et al.. (2023). MapReduce with Deep Learning Framework for Student Health Monitoring System using IoT Technology for Big Data. Journal of Grid Computing. 21(4). 5 indexed citations

12.

Alzahrani, Jaber S., et al.. (2023). Piece-Wise Linear Chaotic Mapping-based Beluga Whale Optimization Algorithm-based Indoor Activity Monitoring for Elderly and Visually Impaired Persons. SHILAP Revista de lepidopterología. 2(2). 4 indexed citations

13.

Nour, Mohamed K., Abdullah Mohamed, Abdelwahed Motwakel, et al.. (2023). Political Optimizer with Probabilistic Neural Network-Based Arabic Comparative Opinion Mining. Intelligent Automation & Soft Computing. 36(3). 3121–3137. 1 indexed citations

14.

Maashi, Mashael, et al.. (2023). Automated Gesture Recognition Using African Vulture Optimization with Deep Learning for Visually Impaired People on Sensory Modality Data. SHILAP Revista de lepidopterología. 2(2). 1 indexed citations

15.

Hamza, Manar Ahmed, Aisha Hassan Abdalla Hashim, Hadeel Alsolai, et al.. (2023). Wearables-Assisted Smart Health Monitoring for Sleep Quality Prediction Using Optimal Deep Learning. Sustainability. 15(2). 1084–1084. 10 indexed citations

16.

Alotaibi, Saud S., Hanan Abdullah Mengash, Noha Negm, et al.. (2022). Swarm Intelligence with Deep Transfer Learning Driven Aerial Image Classification Model on UAV Networks. Applied Sciences. 12(13). 6488–6488. 5 indexed citations

17.

Alrowais, Fadwa, Saud S. Alotaibi, Radwa Marzouk, et al.. (2022). Manta Ray Foraging Optimization Transfer Learning-Based Gastric Cancer Diagnosis and Classification on Endoscopic Images. Cancers. 14(22). 5661–5661. 7 indexed citations

18.

Stobo, David, Allan James, Derek Grose, et al.. (2019). 12 week PET-CT has low positive predictive value for nodal residual disease in human papillomavirus-positive oropharyngeal cancers. Oral Oncology. 97. 76–81. 31 indexed citations

19.

McJury, M., Lye Mun Tho, Derek Grose, et al.. (2013). The influence of MRI scan position on patients with oropharyngeal cancer undergoing radical radiotherapy. Radiation Oncology. 8(1). 129–129. 24 indexed citations

20.

James, Allan, et al.. (2012). Quantitative comparison of volumetric modulated arc therapy and intensity modulated radiotherapy plan quality in sino-nasal cancer. Journal of Medical Physics. 37(1). 8–8. 9 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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