Kujtim Latifi

2.9k total citations · 1 hit paper
109 papers, 2.0k citations indexed

About

Kujtim Latifi is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kujtim Latifi has authored 109 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Radiology, Nuclear Medicine and Imaging, 54 papers in Radiation and 42 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kujtim Latifi's work include Advanced Radiotherapy Techniques (54 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Medical Imaging Techniques and Applications (33 papers). Kujtim Latifi is often cited by papers focused on Advanced Radiotherapy Techniques (54 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Medical Imaging Techniques and Applications (33 papers). Kujtim Latifi collaborates with scholars based in United States, Netherlands and China. Kujtim Latifi's co-authors include Eduardo G. Moros, Geoffrey Zhang, Robert J. Gillies, Ghanim Ullah, Vladimir Feygelman, Thomas J. Dilling, Dylan Hunt, Matthew B. Schabath, Yoganand Balagurunathan and Mahmoud A. Abdalah and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Kujtim Latifi

105 papers receiving 2.0k citations

Hit Papers

Intrinsic dependencies of CT radiomic features on voxel s... 2017 2026 2020 2023 2017 100 200 300 400
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.

  1. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
    2017 444 citations Geoffrey Zhang, Kujtim Latifi et al. Medical Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kujtim Latifi United States 23 1.4k 860 563 551 296 109 2.0k
Daniela Thorwarth Germany 33 2.6k 1.8× 1.4k 1.6× 374 0.7× 1.6k 2.9× 219 0.7× 140 3.6k
Hania Al‐Hallaq United States 27 1.4k 1.0× 963 1.1× 355 0.6× 801 1.5× 666 2.3× 101 2.5k
Susanta Hui United States 27 1.1k 0.8× 806 0.9× 365 0.6× 1.0k 1.8× 544 1.8× 113 2.8k
Iuliana Toma-Daşu Sweden 27 1.1k 0.7× 1.3k 1.5× 211 0.4× 1.2k 2.2× 90 0.3× 112 2.1k
Charlotte Robert France 21 2.9k 2.0× 1.4k 1.6× 743 1.3× 622 1.1× 866 2.9× 59 3.8k
Melvin A. Astrahan United States 29 687 0.5× 910 1.1× 549 1.0× 564 1.0× 502 1.7× 88 2.4k
Serena Monti Italy 23 891 0.6× 376 0.4× 137 0.2× 284 0.5× 194 0.7× 93 1.4k
Stanley Benedict United States 36 1.9k 1.3× 1.8k 2.1× 491 0.9× 2.0k 3.7× 258 0.9× 138 3.5k
Amita Shukla‐Dave United States 38 3.4k 2.4× 2.3k 2.7× 297 0.5× 295 0.5× 226 0.8× 123 4.8k
Christian Richter Germany 30 1.2k 0.8× 2.1k 2.4× 623 1.1× 1.9k 3.4× 235 0.8× 113 3.2k

Countries citing papers authored by Kujtim Latifi

Since Specialization
Citations

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

Fields of papers citing papers by Kujtim Latifi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kujtim Latifi

This figure shows the co-authorship network connecting the top 25 collaborators of Kujtim Latifi. A scholar is included among the top collaborators of Kujtim Latifi 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 Kujtim Latifi. Kujtim Latifi 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.
Yuan, L., Quan Chen, Hania Al‐Hallaq, et al.. (2025). Quantitative Evaluation of Artificial Intelligence-Based Organ Segmentation Across Multiple Anatomic Sites Using 8 Commercial Software Platforms. Practical Radiation Oncology. 16(1). e47–e59. 1 indexed citations
2.
Bryant, John Michael, Matthew N. Mills, Kujtim Latifi, et al.. (2025). Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases. JCO Clinical Cancer Informatics. 9(9). e2400002–e2400002.
3.
Rishi, Anupam, Kujtim Latifi, G. Daniel Grass, et al.. (2024). Clinical Outcomes of Prostate SBRT Using Non-adaptive MR-Guided Radiotherapy. Cancer Control. 31. 2925688643–2925688643. 1 indexed citations
4.
Perez, Bradford A., José Peñagarícano, Jimmy J. Caudell, et al.. (2024). Technical feasibility of novel immunostimulatory low‐dose radiation for polymetastatic disease with CBCT‐based online adaptive and conventional approaches. Journal of Applied Clinical Medical Physics. 25(6). e14303–e14303. 2 indexed citations
5.
Kütük, Tuğçe, Mahmoud A. Abdalah, Olya Stringfield, et al.. (2024). Prediction of radiologic outcome-optimized dose plans and post-treatment magnetic resonance images: A proof-of-concept study in breast cancer brain metastases treated with stereotactic radiosurgery. Physics and Imaging in Radiation Oncology. 31. 100602–100602. 3 indexed citations
6.
Bryant, John Michael, Matthew N. Mills, G.Q. Yang, et al.. (2024). Novel Definitive Hypofractionated Accelerated Radiation Dose-painting (HARD) for Unresected Soft Tissue Sarcomas. Advances in Radiation Oncology. 9(4). 101447–101447. 2 indexed citations
7.
Liveringhouse, Casey, Nicholas Figura, Joseph Weygand, et al.. (2023). Feasibility and Toxicity of Full-Body Volumetric Modulated Arc Therapy Technique for High-Dose Total Body Irradiation. Technology in Cancer Research & Treatment. 22. 2223922667–2223922667. 4 indexed citations
8.
Gonzalez, Brian D., Jessica L. Hazelton, Emma Robinson, et al.. (2023). Toward Burnout Prevention: Can One Short Virtual Reality Relaxation and Mindfulness Training Session for Staff and Patients Decrease Stress and Improve Subjective Sense of Wellbeing?. International Journal of Radiation Oncology*Biology*Physics. 117(2). e507–e507. 1 indexed citations
9.
Bryant, John Michael, Austin J. Sim, Vladimir Feygelman, Kujtim Latifi, & Stephen A. Rosenberg. (2023). Adaptive hypofractionted and stereotactic body radiotherapy for lung tumors with real-time MRI guidance. Frontiers in Oncology. 13. 1061854–1061854. 8 indexed citations
10.
Mills, Matthew N., Casey Liveringhouse, John Michael Bryant, et al.. (2023). Novel Postoperative Hypofractionated Accelerated Radiation Dose-Painting Approach for Soft Tissue Sarcoma. Advances in Radiation Oncology. 9(3). 101391–101391. 4 indexed citations
11.
Tchelebi, Leila T., Paul B. Romesser, Sebastian Feuerlein, et al.. (2020). Magnetic Resonance Guided Radiotherapy for Rectal Cancer: Expanding Opportunities for Non-Operative Management. Cancer Control. 27(1). 1148404713–1148404713. 8 indexed citations
12.
Jiang, Kun, Kujtim Latifi, Rutika Mehta, et al.. (2020). Radiation-induced hepatitis masquerading as metastatic disease: the importance of correlating diagnostic imaging with treatment planning. Journal of Gastrointestinal Oncology. 11(1). 133–138. 3 indexed citations
13.
Latifi, Kujtim, et al.. (2018). Voxel size and gray level normalization of CT radiomic features in lung cancer. Scientific Reports. 8(1). 10545–10545. 164 indexed citations
14.
Zhang, Geoffrey, Kujtim Latifi, Vladimir Feygelman, et al.. (2017). Ventilation Series Similarity: A Study for Ventilation Calculation Using Deformable Image Registration and 4DCT to Avoid Motion Artifacts. Contrast Media & Molecular Imaging. 2017. 1–7. 2 indexed citations
15.
Murimwa, Gilbert Z., Puja Venkat, Kujtim Latifi, et al.. (2017). Impact of sarcopenia on outcomes of locally advanced esophageal cancer patients treated with neoadjuvant chemoradiation followed by surgery. Journal of Gastrointestinal Oncology. 8(5). 808–815. 39 indexed citations
16.
Latifi, Kujtim, Jimmy J. Caudell, Benjamin E. Nelms, et al.. (2016). Initial evaluation of automated treatment planning software. Journal of Applied Clinical Medical Physics. 17(3). 331–346. 67 indexed citations
17.
Feygelman, Vladimir, Eduardo G. Moros, Kujtim Latifi, et al.. (2016). Superficial and peripheral dose in compensator‐based FFF beam IMRT. Journal of Applied Clinical Medical Physics. 18(1). 151–156. 2 indexed citations
18.
Feygelman, Vladimir, Thomas J. Dilling, Kujtim Latifi, et al.. (2013). Dynamic Dose Interplay Does Not Meaningfully Affect Target Dose in VMAT SBRT Treatments. International Journal of Radiation Oncology*Biology*Physics. 87(2). S700–S701. 7 indexed citations
19.
Moros, Eduardo G., et al.. (2012). SU‐E‐T‐479: Skin Dose from Flattening Filter Free Beams: A Monte Carlo Investigation. Medical Physics. 39(6Part17). 3815–3815. 1 indexed citations
20.
Vakili, Mohammad Ali, et al.. (2006). Serologic immunity of Gorgan medical personnels against hepatitis B (2003). SHILAP Revista de lepidopterología. 8(1). 39–44. 4 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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