Khushboo Munir

667 total citations · 1 hit paper
6 papers, 396 citations indexed

About

Khushboo Munir is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Khushboo Munir has authored 6 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Neurology. Recurrent topics in Khushboo Munir's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Image Segmentation Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). Khushboo Munir is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Image Segmentation Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). Khushboo Munir collaborates with scholars based in Italy, Canada and Sweden. Khushboo Munir's co-authors include Fabrizio Frezza, Antonello Rizzi, Hassan Elahi, Farah Shahid, Rizwan Khan, Zhonglong Zheng, Atif Mehmood, Vito Cantisani, Maria Irene Bellini and Salvatore Sorrenti and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Khushboo Munir

5 papers receiving 380 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.

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

2019 278 citations Khushboo Munir, Hassan Elahi et al. Cancers profile →

Peers

Countries citing papers authored by Khushboo Munir

Since Specialization

Citations

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

Fields of papers citing papers by Khushboo Munir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khushboo Munir

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	A Survey of Autonomous Robotic Ultrasound Scanning Systems 2025 ·IEEE Access ·Khushboo Munir, (unknown), Ammar Alsheghri, Harald Becher, Michelle Noga, Kumaradevan Punithakumar	0
2	Dental image enhancement network for early diagnosis of oral dental disease 2023 ·Scientific Reports ·Rizwan Khan, (unknown), Ali Khan, Muhammad Marwan, (unknown), Atif Mehmood, Farah Shahid, Khushboo Munir, Zhonglong Zheng	8
3	A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images 2023 ·Frontiers in Neuroscience ·Rizwan Khan, (unknown), Atif Mehmood, Farah Shahid, Khushboo Munir, Naveed Ilyas, (unknown), Zhonglong Zheng	30
4	Deep Learning Hybrid Techniques for Brain Tumor Segmentation 2022 ·Sensors ·Khushboo Munir, Fabrizio Frezza, Antonello Rizzi	24
5	Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing? 2022 ·Cancers ·Salvatore Sorrenti, (unknown), Maija Radziņa, Maria Irene Bellini, Fabrizio Frezza, Khushboo Munir, Giorgio Grani, Cosimo Durante, Vito D’Andrea, Emanuele David, Pietro Giorgio Calò, Eleonora Lori, Vito Cantisani	56
6	Cancer Diagnosis Using Deep Learning: A Bibliographic Review breakdown → 2019 ·Cancers ·Khushboo Munir, Hassan Elahi, (unknown), Fabrizio Frezza, Antonello Rizzi	278

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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