Nasir Rajpoot

20.4k total citations · 4 hit papers
204 papers, 7.9k citations indexed

About

Nasir Rajpoot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nasir Rajpoot has authored 204 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Artificial Intelligence, 96 papers in Computer Vision and Pattern Recognition and 60 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nasir Rajpoot's work include AI in cancer detection (101 papers), Radiomics and Machine Learning in Medical Imaging (49 papers) and Cell Image Analysis Techniques (42 papers). Nasir Rajpoot is often cited by papers focused on AI in cancer detection (101 papers), Radiomics and Machine Learning in Medical Imaging (49 papers) and Cell Image Analysis Techniques (42 papers). Nasir Rajpoot collaborates with scholars based in United Kingdom, Qatar and Pakistan. Nasir Rajpoot's co-authors include David Snead, Shan E Ahmed Raza, Korsuk Sirinukunwattana, Metin N. Gürcan, Laura E. Boucheron, Anant Madabhushi, Ali Can, Bülent Yener, Ian A. Cree and Yee‐Wah Tsang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Nasir Rajpoot

201 papers receiving 7.7k 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.

Histopathological Image Analysis: A Review

2009 1.4k citations Nasir Rajpoot et al. profile →
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

2016 826 citations Shan E Ahmed Raza, David Snead et al. profile →
Gland segmentation in colon histology images: The glas challenge contest

2016 570 citations David Snead, Nasir Rajpoot et al. Medical Image Analysis profile →
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution

2014 384 citations Nasir Rajpoot et al. profile →

Peers

Nasir Rajpoot

CVPR

RNMI

BIOPH

ONCOL

Metin N. Gürcan United States

Babak Ehteshami Bejnordi Netherlands

Francesco Ciompi Netherlands

Geert Litjens Netherlands

Clara I. Sá‎nchez Netherlands

Arnaud A. A. Setio Netherlands

Thijs Kooi Netherlands

Mohsen Ghafoorian Netherlands

Nico Karssemeijer Netherlands

Dong Ni China

Metin N. Gürcan United States

Nasir Rajpoot

3.9k ×0.7

2.5k ×0.7

CVPR

2.4k ×0.7

RNMI

1.1k ×0.8

BIOPH

856 ×0.8

ONCOL

Citations per year, relative to Nasir Rajpoot Nasir Rajpoot (= 1×) peers Metin N. Gürcan

Countries citing papers authored by Nasir Rajpoot

Since Specialization

Citations

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

Fields of papers citing papers by Nasir Rajpoot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasir Rajpoot

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Azam, Ayesha, et al.. (2025). CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patterns. Computers in Biology and Medicine. 192(Pt A). 110127–110127.

Shephard, Adam, Mostafa Jahanifar, Ruoyu Wang, et al.. (2024). An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer. Warwick Research Archive Portal (University of Warwick). 1–5. 3 indexed citations

Lashen, Ayat, Noorul Wahab, Michael S. Toss, et al.. (2024). Characterization of Breast Cancer Intra-Tumor Heterogeneity Using Artificial Intelligence. Cancers. 16(22). 3849–3849. 1 indexed citations

Javed, Sajid, Arif Mahmood, Talha Qaiser, Naoufel Werghi, & Nasir Rajpoot. (2024). Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification. Medical Image Analysis. 96. 103203–103203. 5 indexed citations

Minhas, Fayyaz, et al.. (2024). Synthesis of annotated colon cancer tissue images from gland layout. 15–15. 1 indexed citations

Jahanifar, Mostafa, Lawrence S. Young, Asa Ben‐Hur, et al.. (2023). Cross-linking breast tumor transcriptomic states and tissue histology. Cell Reports Medicine. 4(12). 101313–101313. 2 indexed citations

Mahmood, Hanya, Adam Shephard, Mike Bradburn, et al.. (2023). Development and validation of a multivariable model for prediction of malignant transformation and recurrence of oral epithelial dysplasia. British Journal of Cancer. 129(10). 1599–1607. 9 indexed citations

Wahab, Noorul, Michael S. Toss, Asmaa Ibrahim, et al.. (2023). Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence. British Journal of Cancer. 129(11). 1747–1758. 22 indexed citations

Bilal, Mohsin, et al.. (2023). An aggregation of aggregation methods in computational pathology. Medical Image Analysis. 88. 102885–102885. 20 indexed citations

10.

Graham, Simon, Quoc Dang Vu, Mostafa Jahanifar, et al.. (2022). TIAToolbox as an end-to-end library for advanced tissue image analytics. SHILAP Revista de lepidopterología. 2(1). 120–120. 52 indexed citations

11.

Hassan, Taimur, Sajid Javed, Arif Mahmood, et al.. (2022). Nucleus classification in histology images using message passing network. Medical Image Analysis. 79. 102480–102480. 20 indexed citations

12.

Awan, Ruqayya, Shan E Ahmed Raza, Johannes Lotz, Nick Weiss, & Nasir Rajpoot. (2022). Deep feature based cross-slide registration. Computerized Medical Imaging and Graphics. 104. 102162–102162. 5 indexed citations

13.

Awan, Ruqayya, Ayesha Azam, Muhammad Shaban, et al.. (2021). Deep learning based digital cell profiles for risk stratification of urine cytology images. Cytometry Part A. 99(7). 732–742. 31 indexed citations

14.

Cree, Ian A., Jiří Zavadil, James McKay, et al.. (2020). The International Collaboration for Cancer Classification and Research. International Journal of Cancer. 148(3). 560–571. 35 indexed citations

15.

Browning, Lisa, Richard Colling, Emad A. Rakha, et al.. (2020). Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective. Journal of Clinical Pathology. 74(7). 443–447. 49 indexed citations

16.

Javed, Sajid, et al.. (2020). Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping. IEEE Transactions on Image Processing. 29. 9204–9219. 28 indexed citations

17.

Fraz, Muhammad Moazam, et al.. (2019). FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer. Neural Computing and Applications. 32(14). 9915–9928. 46 indexed citations

18.

Masania, Jinit, Attia Anwar, Nasir Rajpoot, et al.. (2019). Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health. Oxidative Medicine and Cellular Longevity. 2019. 1–15. 19 indexed citations

19.

Raza, Shan E Ahmed, Linda Cheung, D. B. A. Epstein, et al.. (2017). MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images. 337–340. 37 indexed citations

20.

Alsubaie, Najah, Nicholas Trahearn, Shan E Ahmed Raza, & Nasir Rajpoot. (2015). A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space. 132–137. 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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