Mohammad S. Khan

2.9k total citations · 1 hit paper
80 papers, 1.9k citations indexed

About

Mohammad S. Khan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mohammad S. Khan has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 36 papers in Electrical and Electronic Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Mohammad S. Khan's work include Vehicular Ad Hoc Networks (VANETs) (20 papers), Energy Efficient Wireless Sensor Networks (15 papers) and Mobile Ad Hoc Networks (13 papers). Mohammad S. Khan is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (20 papers), Energy Efficient Wireless Sensor Networks (15 papers) and Mobile Ad Hoc Networks (13 papers). Mohammad S. Khan collaborates with scholars based in United States, India and Canada. Mohammad S. Khan's co-authors include Sushanta Kumar Mohapatra, Amir H. Gandomi, Umesh Chandra Samal, Trupti Mayee Behera, Mahmoud Daneshmand, Reza M. Parizi, Bhargav Appasani, Gautam Srivastava, Rizwan Patan and Waleed Mugahed Al-Rahmi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and IEEE Access.

In The Last Decade

Mohammad S. Khan

73 papers receiving 1.8k citations

Hit Papers

Residual Energy-Based Cluster-Head Selection in WSNs for ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad S. Khan United States 24 1.1k 754 310 193 184 80 1.9k
Jamel Nebhen Saudi Arabia 25 384 0.4× 968 1.3× 299 1.0× 221 1.1× 132 0.7× 115 1.9k
Xiaohua Tian China 28 1.2k 1.2× 1.5k 1.9× 405 1.3× 140 0.7× 136 0.7× 215 2.9k
Ayman Radwan Portugal 24 914 0.9× 1.0k 1.3× 213 0.7× 272 1.4× 214 1.2× 132 1.9k
Ayman A. El‐Saleh Malaysia 21 567 0.5× 799 1.1× 327 1.1× 122 0.6× 113 0.6× 114 1.9k
Nan Guan China 32 1.7k 1.6× 494 0.7× 231 0.7× 174 0.9× 180 1.0× 262 3.3k
Ali Nauman South Korea 19 709 0.7× 683 0.9× 247 0.8× 400 2.1× 204 1.1× 97 1.8k
Nilanjan Banerjee United States 28 1.4k 1.4× 1.4k 1.9× 170 0.5× 187 1.0× 224 1.2× 162 2.6k
Imad Mahgoub United States 24 1.2k 1.2× 1.2k 1.5× 175 0.6× 124 0.6× 367 2.0× 140 2.2k
Bilal A. Khawaja Pakistan 16 491 0.5× 1.1k 1.4× 152 0.5× 184 1.0× 177 1.0× 67 1.9k
Sudeep Pasricha United States 29 1.9k 1.8× 2.3k 3.0× 525 1.7× 380 2.0× 71 0.4× 296 3.8k

Countries citing papers authored by Mohammad S. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad S. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad S. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad S. Khan. A scholar is included among the top collaborators of Mohammad S. Khan 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 S. Khan. Mohammad S. Khan 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.
Poonia, Ramesh Chandra, et al.. (2025). Smart Cyber-Physical Systems. 1 indexed citations
2.
Khan, Mohammad S., et al.. (2025). Prevalence of Barrett’s esophagus and gastroesophageal reflux disease 5 years after laparoscopic sleeve gastrectomy: A retrospective study. World Journal of Gastrointestinal Surgery. 17(8). 105607–105607.
3.
Hussein, Ahmed A., Ali Ahmad, Mohammad S. Khan, et al.. (2025). Do Prophylactic Antibiotics Decrease the Rate of Urinary Tract Infections After Robot-Assisted Radical Cystectomy? A Randomized Controlled Trial. The Journal of Urology. 214(2). 147–155.
4.
Khan, Mohammad S., et al.. (2025). Skin Cancer Detection Using Terahertz Metamaterial Absorber and Machine Learning. IEEE Transactions on Plasma Science. 53(2). 343–350. 4 indexed citations
5.
Khan, Mohammad S., et al.. (2024). A Survey and Comparative Analysis of Methods for Countering Sybil Attacks in VANETs. 178–183. 4 indexed citations
6.
Khan, Mohammad S., et al.. (2024). A Comprehensive Systematic Review of Blockchain-based Intrusion Detection Systems. 605–611. 4 indexed citations
7.
Datta, Amlan, et al.. (2024). Next-Gen Smart Healthcare Using UAV Assisted Cooperative Communication: A Deep Learning Approach. IEEE Transactions on Consumer Electronics. 71(1). 419–426. 1 indexed citations
9.
Khan, Mohammad S., et al.. (2023). A Blockchain Application on Bootstrapping Mobile Nodes within VANET. 1011–1016. 2 indexed citations
10.
Appasani, Bhargav, et al.. (2023). Sentiment Analysis of COVID-19 Tweets Using Deep Learning and Lexicon-Based Approaches. Sustainability. 15(3). 2573–2573. 42 indexed citations
11.
12.
Khan, Mohammad S., et al.. (2023). Challenges and Solutions for Vehicular Ad-Hoc Networks Based on Lightweight Blockchains. SHILAP Revista de lepidopterología. 5(3). 994–1012. 4 indexed citations
13.
Jha, Amitkumar V., et al.. (2022). A Biomedical Sensor for Detection of Cancer Cells Based on Terahertz Metamaterial Absorber. IEEE Sensors Letters. 6(6). 1–4. 69 indexed citations
14.
Mekala, M. S., Rizwan Patan, & Mohammad S. Khan. (2021). Computational Intelligent Sensor-Rank Consolidation Approach for Industrial Internet of Things (IIoT). IEEE Internet of Things Journal. 10(3). 2121–2130. 12 indexed citations
15.
Kumar, Sudhir, et al.. (2021). HVD-LSTM based recognition of epileptic seizures and normal human activity. Computers in Biology and Medicine. 136. 104684–104684. 27 indexed citations
16.
Khan, Mohammad S., et al.. (2021). MACHINE LEARNING ALGORITHMS AND THEIR APPLICATIONS IN CLASSIFYING CYBER-ATTACKS ON A SMART GRID NETWORK. Digital Commons - East Tennessee State University (East Tennessee State University). 63–69. 6 indexed citations
17.
Gebremichael, Lemlem G., Mohammad S. Khan, D. B. Williams, et al.. (2020). Opioid prescribing and risk of drug-opioid interactions in older discharged patients with polypharmacy in Australia. International Journal of Clinical Pharmacy. 43(2). 365–374. 9 indexed citations
18.
Behera, Trupti Mayee, Sushanta Kumar Mohapatra, Umesh Chandra Samal, et al.. (2019). Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application. IEEE Internet of Things Journal. 6(3). 5132–5139. 343 indexed citations breakdown →
19.
Khan, Mohammad S.. (2015). Prevalence of gastroesophageal reflux disease in the Saudi Arabia. 1 indexed citations
20.
Dhar, Rita, et al.. (1998). Evaluation and Comparison of Two Immunodiagnostic Assays for Helicobacter pylori Antibodies with Culture Results. Diagnostic Microbiology and Infectious Disease. 30(1). 1–6. 13 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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