Muhammad Umar Nasir

816 total citations
31 papers, 449 citations indexed

About

Muhammad Umar Nasir is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Muhammad Umar Nasir has authored 31 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Muhammad Umar Nasir's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Machine Learning in Bioinformatics (4 papers). Muhammad Umar Nasir is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Machine Learning in Bioinformatics (4 papers). Muhammad Umar Nasir collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Muhammad Umar Nasir's co-authors include Atta Rahman, Muhammad Adnan Khan, Muhammad Zubair, Taher M. Ghazal, Hussam Al Hamadi, Amir Mosavi, Muhammad Farhan Khan, Shahid Mehmood, Saqib Jabbar and Chan Yeob Yeun and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Muhammad Umar Nasir

28 papers receiving 423 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 Umar Nasir Pakistan 12 180 102 62 55 49 31 449
Ritesh Maurya India 11 142 0.8× 52 0.5× 41 0.7× 69 1.3× 15 0.3× 37 337
Abhishek Raghuvanshi India 6 118 0.7× 41 0.4× 87 1.4× 97 1.8× 12 0.2× 19 383
Apeksha Koul India 11 189 1.1× 76 0.7× 20 0.3× 27 0.5× 26 0.5× 20 436
Chetna Kaushal India 11 205 1.1× 105 1.0× 25 0.4× 46 0.8× 45 0.9× 44 439
Shankar Thawkar India 14 228 1.3× 218 2.1× 44 0.7× 31 0.6× 48 1.0× 23 511
K. Suresh Joseph India 11 159 0.9× 71 0.7× 10 0.2× 115 2.1× 34 0.7× 41 420
Samreen Naeem Pakistan 10 93 0.5× 95 0.9× 130 2.1× 16 0.3× 20 0.4× 26 434
Valliappan Raman Malaysia 10 74 0.4× 49 0.5× 29 0.5× 34 0.6× 24 0.5× 50 351
Naresh Kumar Trivedi India 13 99 0.6× 36 0.4× 319 5.1× 49 0.9× 18 0.4× 73 615
Jiayi Lu China 9 149 0.8× 57 0.6× 34 0.5× 83 1.5× 10 0.2× 20 360

Countries citing papers authored by Muhammad Umar Nasir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Umar Nasir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Umar Nasir

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Umar Nasir. A scholar is included among the top collaborators of Muhammad Umar Nasir 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 Umar Nasir. Muhammad Umar Nasir 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.
Nasir, Muhammad Umar, et al.. (2025). Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning. Scientific Reports. 15(1). 26379–26379. 1 indexed citations
2.
3.
Khan, Muhammad Farhan, Tariq Shahzad, Muhammad Adnan Khan, et al.. (2023). Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification. Computers, materials & continua/Computers, materials & continua (Print). 77(3). 2813–2831. 4 indexed citations
4.
Nasir, Muhammad Umar, Muhammad Farhan Khan, Muhammad Adnan Khan, et al.. (2023). Hematologic Cancer Detection Using White Blood Cancerous Cells Empowered with Transfer Learning and Image Processing. Journal of Healthcare Engineering. 2023(1). 1406545–1406545. 5 indexed citations
5.
Nasir, Muhammad Umar, et al.. (2022). Social Media Analysis of Customer Emotions in Pizza Industry. The Computer Journal. 66(7). 1777–1783. 2 indexed citations
6.
Ghazal, Taher M., Hussam Al Hamadi, Muhammad Umar Nasir, et al.. (2022). Supervised Machine Learning Empowered Multifactorial Genetic Inheritance Disorder Prediction. Computational Intelligence and Neuroscience. 2022. 1–10. 47 indexed citations
7.
Rahman, Atta, Muhammad Umar Nasir, Mohammed Gollapalli, et al.. (2022). Advance Genome Disorder Prediction Model Empowered With Deep Learning. IEEE Access. 10. 70317–70328. 23 indexed citations
8.
9.
Nasir, Muhammad Umar, Taher M. Ghazal, Muhammad Adnan Khan, et al.. (2022). Breast Cancer Prediction Empowered with Fine-Tuning. Computational Intelligence and Neuroscience. 2022. 1–9. 43 indexed citations
10.
Nasir, Muhammad Umar, Muhammad Zubair, Taher M. Ghazal, et al.. (2022). Kidney Cancer Prediction Empowered with Blockchain Security Using Transfer Learning. Sensors. 22(19). 7483–7483. 34 indexed citations
11.
Nasir, Muhammad Umar, Muhammad Adnan Khan, Muhammad Zubaır, et al.. (2022). Single and Mitochondrial Gene Inheritance Disorder Prediction Using Machine Learning. Computers, materials & continua/Computers, materials & continua (Print). 73(1). 953–963. 12 indexed citations
12.
Rahman, Atta, Abdullah Alqahtani, Nahier Aldhafferi, et al.. (2022). Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning. Sensors. 22(10). 3833–3833. 78 indexed citations
13.
Ateeq, Karamath, et al.. (2022). NABA: Novel Adaptive Broadcast Storm Avoidance in NDN and SDN based FANET. 1–5. 1 indexed citations
14.
Rahman, Atta, Muhammad Umar Nasir, Mohammed Gollapalli, et al.. (2022). IoMT-Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning. Computational Intelligence and Neuroscience. 2022. 1–8. 17 indexed citations
15.
Selamat, Mohamad Hisyam, et al.. (2019). Effect of Human Resource Practices On Public Sector Organizational Performance With the Mediating Effect of Knowledge Sharing Commitment A Study On the Public Service Sector of Pakistan. Academy of Entrepreneurship journal. 25.
16.
Nasir, Muhammad Umar, et al.. (2019). Sistem Monitoring Absensi Perkuliahan Dengan Menggunakan RFID Berbasis Raspberry Pi. 3(1). 219. 1 indexed citations
17.
Nasir, Muhammad Umar, et al.. (2019). Identification of Diseases in Rice Plants Using the Gray Level Co-Occurrence Matrix Method. IOP Conference Series Materials Science and Engineering. 536(1). 12146–12146. 1 indexed citations
18.
Haider, Muhammad Rizwan, et al.. (2016). Effect of Different Combinations of Gums and Emulsifiers on the Quality of Bread. Biological Sciences - PJSIR. 59(1). 33–37. 2 indexed citations
19.
Hussain, Sarfraz, Muhammad Nadeem, Saqib Jabbar, et al.. (2015). Quality Assessment of Doughnuts Prepared by Using Small Sized Potatoes (Diamant). 4. 21–27.
20.
Bashir, Sajid, et al.. (2014). Acute toxicity studies of a novel excipient arabinoxylan isolated from Ispaghula (Plantago ovata) husk. Drug and Chemical Toxicology. 38(3). 300–305. 29 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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