Tahira Nazir

2.4k total citations
53 papers, 1.5k citations indexed

About

Tahira Nazir is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Tahira Nazir has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Artificial Intelligence. Recurrent topics in Tahira Nazir's work include Digital Imaging for Blood Diseases (12 papers), Retinal Imaging and Analysis (10 papers) and Brain Tumor Detection and Classification (8 papers). Tahira Nazir is often cited by papers focused on Digital Imaging for Blood Diseases (12 papers), Retinal Imaging and Analysis (10 papers) and Brain Tumor Detection and Classification (8 papers). Tahira Nazir collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Tahira Nazir's co-authors include Marriam Nawaz, Momina Masood, Ali Javed, Aun Irtaza, Awais Mehmood, Junaid Rashid, Munawar Iqbal, Zahid Mehmood, Rizwan Ali Naqvi and Amir Hussain and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Tahira Nazir

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tahira Nazir Pakistan 23 488 475 453 257 231 53 1.5k
Law Kumar Singh India 22 296 0.6× 457 1.0× 303 0.7× 84 0.3× 53 0.2× 44 926
Shagun Sharma India 16 121 0.2× 250 0.5× 281 0.6× 87 0.3× 314 1.4× 121 1.2k
Eugenio Vocaturo Italy 19 154 0.3× 178 0.4× 341 0.8× 35 0.1× 118 0.5× 71 735
Munish Khanna India 21 272 0.6× 415 0.9× 300 0.7× 79 0.3× 53 0.2× 42 905
Taye Girma Debelee Ethiopia 17 241 0.5× 268 0.6× 417 0.9× 237 0.9× 64 0.3× 34 963
Junaid Rashid Pakistan 15 194 0.4× 166 0.3× 347 0.8× 139 0.5× 90 0.4× 71 967
Salman Qadri Pakistan 17 182 0.4× 176 0.4× 198 0.4× 116 0.5× 155 0.7× 45 845
Devvi Sarwinda Indonesia 14 227 0.5× 280 0.6× 330 0.7× 100 0.4× 27 0.1× 80 854
Md. Alamin Talukder Bangladesh 18 165 0.3× 234 0.5× 615 1.4× 168 0.7× 105 0.5× 50 1.2k
Sandeep Kumar Mathivanan India 17 244 0.5× 216 0.5× 310 0.7× 272 1.1× 52 0.2× 99 929

Countries citing papers authored by Tahira Nazir

Since Specialization
Citations

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

Fields of papers citing papers by Tahira Nazir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tahira Nazir

This figure shows the co-authorship network connecting the top 25 collaborators of Tahira Nazir. A scholar is included among the top collaborators of Tahira Nazir 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 Tahira Nazir. Tahira Nazir 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.
Zafar, Saad, et al.. (2025). A novelty towards neural signatures − Unveiling the inter-subject distance metric for EEG-based motor imagery. Biomedical Signal Processing and Control. 105. 107552–107552.
2.
Nawaz, Marriam & Tahira Nazir. (2024). EDet-BTR: EfficientDet-based brain tumor recognition from the magnetic resonance imaging. Biomedical Signal Processing and Control. 96. 106618–106618. 1 indexed citations
3.
Nazir, Tahira, et al.. (2024). Recognition of diabetic retinopathy and macular edema using deep learning. Medical & Biological Engineering & Computing. 62(9). 2687–2701. 2 indexed citations
4.
Nazir, Tahira, et al.. (2023). An improved deep learning approach for localization and recognition of plant leaf diseases. Expert Systems with Applications. 230. 120717–120717. 28 indexed citations
5.
Nawaz, Marriam, Tahira Nazir, Jamel Baili, et al.. (2023). CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model. Diagnostics. 13(2). 248–248. 33 indexed citations
6.
Albahli, Saleh, et al.. (2023). An improved DenseNet model for prediction of stock market using stock technical indicators. Expert Systems with Applications. 232. 120903–120903. 13 indexed citations
7.
Albahli, Saleh & Tahira Nazir. (2023). A Circular Box-Based Deep Learning Model for the Identification of Signet Ring Cells from Histopathological Images. Bioengineering. 10(10). 1147–1147. 1 indexed citations
8.
Nazir, Tahira, et al.. (2023). CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition. Expert Systems with Applications. 237. 121481–121481. 51 indexed citations
9.
Albahli, Saleh, et al.. (2022). A deep learning method DCWR with HANet for stock market prediction using news articles. Complex & Intelligent Systems. 8(3). 2471–2487. 11 indexed citations
10.
Nawaz, Marriam, Tahira Nazir, Ali Javed, et al.. (2022). An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization. Sensors. 22(2). 434–434. 86 indexed citations
11.
Nawaz, Marriam, Tahira Nazir, Ali Javed, et al.. (2022). Efficient-ECGNet framework for COVID-19 classification and correlation prediction with the cardio disease through electrocardiogram medical imaging. Frontiers in Medicine. 9. 1005920–1005920. 5 indexed citations
12.
Albahli, Saleh & Tahira Nazir. (2022). AI-CenterNet CXR: An artificial intelligence (AI) enabled system for localization and classification of chest X-ray disease. Frontiers in Medicine. 9. 955765–955765. 10 indexed citations
13.
Nawaz, Marriam, Tahira Nazir, Ali Javed, et al.. (2022). A robust deep learning approach for tomato plant leaf disease localization and classification. Scientific Reports. 12(1). 18568–18568. 65 indexed citations
14.
Masood, Momina, Tahira Nazir, Marriam Nawaz, et al.. (2021). A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images. Diagnostics. 11(5). 744–744. 111 indexed citations
15.
Nazir, Tahira, Aun Irtaza, & В. В. Старовойтов. (2021). Optic Disc and Optic Cup Segmentation for Glaucoma Detection from Blur Retinal Images Using Improved Mask-RCNN. International Journal of Optics. 2021. 1–12. 23 indexed citations
16.
Mahum, Rabbia, Aun Irtaza, Marriam Nawaz, et al.. (2021). A generic framework for Generation of Summarized Video Clips using Transfer Learning (SumVClip). 1–8. 7 indexed citations
17.
Nazir, Tahira, Marriam Nawaz, Junaid Rashid, et al.. (2021). Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model. Sensors. 21(16). 5283–5283. 87 indexed citations
18.
Nawaz, Marriam, Momina Masood, Ali Javed, et al.. (2021). Melanoma localization and classification through faster region-based convolutional neural network and SVM. Multimedia Tools and Applications. 80(19). 28953–28974. 35 indexed citations
19.
Rashid, Junaid, Toqeer Mahmood, Muhammad Wasif Nisar, & Tahira Nazir. (2020). Phishing Detection Using Machine Learning Technique. 43–46. 43 indexed citations
20.
Rashid, Junaid, et al.. (2020). Prevention of Beacons Collision in IEEE 802.15.6 under Coexistence. 2. 1–5. 1 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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