Muhammad Umer Khan

1.3k total citations
54 papers, 576 citations indexed

About

Muhammad Umer Khan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Muhammad Umer Khan has authored 54 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Control and Systems Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Muhammad Umer Khan's work include Robotic Path Planning Algorithms (7 papers), Distributed Control Multi-Agent Systems (6 papers) and Advanced Vision and Imaging (6 papers). Muhammad Umer Khan is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Distributed Control Multi-Agent Systems (6 papers) and Advanced Vision and Imaging (6 papers). Muhammad Umer Khan collaborates with scholars based in Pakistan, Türkiye and Saudi Arabia. Muhammad Umer Khan's co-authors include Muhammad Shahab Alam, Muhammad Tahir Khan, Muhammad Tufail, Mansoor Alam, Nauman Khalid Qureshi, Shuai Li, Rayyan Azam Khan, Farzan Majeed Noori, Qixin Wang and Zili Shao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Umer Khan

43 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Umer Khan Pakistan 13 123 113 97 95 92 54 576
Rakesh Kumar Mahendran India 13 87 0.7× 56 0.5× 70 0.7× 34 0.4× 41 0.4× 38 605
Ch. Usha Kumari India 11 139 1.1× 75 0.7× 48 0.5× 17 0.2× 61 0.7× 43 593
Peng Ji China 14 40 0.3× 84 0.7× 82 0.8× 87 0.9× 63 0.7× 138 766
Xianqing Chen China 9 165 1.3× 106 0.9× 49 0.5× 14 0.1× 113 1.2× 17 745
Xiao Gu China 16 68 0.6× 245 2.2× 134 1.4× 37 0.4× 54 0.6× 63 992
Laura Falaschetti Italy 15 102 0.8× 220 1.9× 132 1.4× 36 0.4× 14 0.2× 59 693
Samah A. Gamel Egypt 14 67 0.5× 48 0.4× 29 0.3× 28 0.3× 91 1.0× 32 553
Saroj Kumar Pandey India 14 24 0.2× 136 1.2× 294 3.0× 33 0.3× 44 0.5× 73 737
Mohit Agarwal India 16 722 5.9× 51 0.5× 90 0.9× 31 0.3× 99 1.1× 55 1.4k
Sherif E. Hussein Egypt 10 24 0.2× 76 0.7× 44 0.5× 34 0.4× 112 1.2× 25 501

Countries citing papers authored by Muhammad Umer Khan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Umer Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Umer Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Umer Khan. A scholar is included among the top collaborators of Muhammad Umer 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 Muhammad Umer Khan. Muhammad Umer 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.
Khan, Muhammad Umer, et al.. (2025). Computational identification and evaluation of novel PD-L1 inhibitors for cancer immunotherapy. Scientific Reports. 15(1). 33787–33787.
2.
Khan, Muhammad Umer, et al.. (2025). Therapeutic Insights Into Alkanna tinctoria Phytochemicals as Cholinesterase Inhibitor for Alzheimer's Disease. Chemistry & Biodiversity. 22(6). 1 indexed citations
4.
Duffy, Christopher, et al.. (2025). Inductive inference of Lindenmayer systems: algorithms and computational complexity. Natural Computing. 24(3). 591–601.
5.
Hussain, Nazim, et al.. (2025). Genetic analysis of HPV-16 L1 gene mutations and computational screening of therapeutic inhibitors for cervical cancer treatment. Medical Oncology. 42(5). 153–153. 2 indexed citations
6.
Uddin, Ghias, Abdur Rauf, Muhammad Umer Khan, et al.. (2025). Dual Therapeutic Potential of Novel Cornallegic Acid: In Vitro Anti-inflammatory and ROS Suppression with Computational Insights from Docking, ADMET and DFT Studies. Journal of Computational Biophysics and Chemistry. 24(10). 1385–1402. 2 indexed citations
7.
Uddin, Ghias, Abdur Rauf, Muhammad Umer Khan, et al.. (2025). Anti-inflammatory potential of Grewialin from Grewia optiva: insights from molecular docking, ADMET, DFT, and in-vitro studies. Journal of Computer-Aided Molecular Design. 39(1). 56–56.
8.
Khan, Muhammad Umer, et al.. (2025). Identification of novel therapeutic inhibitors against E6 and E7 oncogenes of HPV-16 associated with cervical cancer. PLoS ONE. 20(10). e0323595–e0323595.
9.
Alam, Muhammad Shahab, et al.. (2024). Ensemble transfer learning using MaizeSet: A dataset for weed and maize crop recognition at different growth stages. Crop Protection. 184. 106849–106849. 5 indexed citations
10.
Khan, Muhammad Umer, S.M. Ibrahim, Muhammad Usman Ghani, et al.. (2024). Thapsigargin and its prodrug derivatives: exploring novel approaches for targeted cancer therapy through calcium signaling disruption. Medical Oncology. 42(1). 7–7. 9 indexed citations
11.
Ghani, Muhammad Usman, et al.. (2024). ADVANCEMENT IN THE TREATMENT OF ALZHEIMER'S DISEASE, 2023. SHILAP Revista de lepidopterología. 5(1). 2 indexed citations
12.
Khan, Muhammad Umer, et al.. (2023). Avoiding contingent incidents by quadrotors due to one or two propellers failure. PLoS ONE. 18(3). e0282055–e0282055. 5 indexed citations
13.
Ishaque, Abdullah, Muhammad Umer Khan, Komal Bharti, et al.. (2023). Characterization of white matter alterations using diffusion kurtosis imaging in patients with amyotrophic lateral sclerosis. Brain and Behavior. 13(7). e3102–e3102. 6 indexed citations
14.
Alam, Muhammad Shahab, Mansoor Alam, Muhammad Tufail, et al.. (2022). TobSet: A New Tobacco Crop and Weeds Image Dataset and Its Utilization for Vision-Based Spraying by Agricultural Robots. Applied Sciences. 12(3). 1308–1308. 27 indexed citations
15.
Khan, Muhammad Umer, et al.. (2022). Reciprocal Altruism-based Path Planning Optimization for Multi-Agents. 1–9. 1 indexed citations
16.
Khan, Muhammad Umer, et al.. (2020). A Computationally Efficient Method for Hybrid EEG‐fNIRS BCI Based on the Pearson Correlation. BioMed Research International. 2020(1). 1838140–1838140. 29 indexed citations
17.
Alam, Mansoor, Muhammad Shahab Alam, Muhammad Roman, et al.. (2020). Real-Time Machine-Learning Based Crop/Weed Detection and Classification for Variable-Rate Spraying in Precision Agriculture. 273–280. 85 indexed citations
18.
Khan, Muhammad Umer, et al.. (2020). Hybrid EEG-fNIRS BCI Fusion Using Multi-Resolution Singular Value Decomposition (MSVD). Frontiers in Human Neuroscience. 14. 599802–599802. 21 indexed citations
19.
Khan, Rayyan Azam, Noman Naseer, Nauman Khalid Qureshi, et al.. (2018). fNIRS-based Neurorobotic Interface for gait rehabilitation. Journal of NeuroEngineering and Rehabilitation. 15(1). 7–7. 94 indexed citations
20.
Khalid, Hassan Abdullah, et al.. (2018). Investigation of Zero Sequence Injection Method For Balancing of Multi-level Cascaded-H Bridge Inverter. 1–6. 2 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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