David Koff

1.5k total citations
28 papers, 536 citations indexed

About

David Koff is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Koff has authored 28 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Koff's work include Radiation Dose and Imaging (8 papers), Medical Imaging Techniques and Applications (7 papers) and Radiology practices and education (5 papers). David Koff is often cited by papers focused on Radiation Dose and Imaging (8 papers), Medical Imaging Techniques and Applications (7 papers) and Radiology practices and education (5 papers). David Koff collaborates with scholars based in Canada, Brazil and United Kingdom. David Koff's co-authors include Harry Shulman, Raimond Wong, Kevin Zbuk, Alexander Wong, Gerald Moran, Katie M. Di Sebastiano, Lin Yang, Marina Mourtzakis, Ali Sabri and Hayden Gunraj and has published in prestigious journals such as PLoS ONE, British Journal Of Nutrition and Radiation Research.

In The Last Decade

David Koff

27 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Koff Canada 10 176 121 77 76 71 28 536
Christopher P. Bridge United States 14 205 1.2× 140 1.2× 50 0.6× 114 1.5× 64 0.9× 43 593
Maximilian Schulze‐Hagen Germany 14 124 0.7× 104 0.9× 52 0.7× 68 0.9× 18 0.3× 51 642
Rolv‐Ole Lindsetmo Norway 14 103 0.6× 33 0.3× 26 0.3× 137 1.8× 56 0.8× 36 791
Ji Hoon Kim South Korea 16 52 0.3× 38 0.3× 18 0.2× 39 0.5× 31 0.4× 71 723
Fiona Callaghan United States 12 363 2.1× 33 0.3× 123 1.6× 224 2.9× 15 0.2× 18 871
Zhenchao Tang China 5 300 1.7× 22 0.2× 19 0.2× 116 1.5× 42 0.6× 14 398
Subhi J. Al’Aref United States 19 251 1.4× 32 0.3× 41 0.5× 89 1.2× 89 1.3× 76 1.2k
Stan Benjamens Netherlands 13 272 1.5× 54 0.4× 14 0.2× 209 2.8× 403 5.7× 35 978
Shinjini Kundu United States 11 153 0.9× 35 0.3× 50 0.6× 173 2.3× 164 2.3× 19 690
Paul Bulens Belgium 14 305 1.7× 94 0.8× 9 0.1× 119 1.6× 35 0.5× 27 668

Countries citing papers authored by David Koff

Since Specialization
Citations

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

Fields of papers citing papers by David Koff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Koff

This figure shows the co-authorship network connecting the top 25 collaborators of David Koff. A scholar is included among the top collaborators of David Koff 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 David Koff. David Koff 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.
Koff, David, et al.. (2024). A community-based task shifting program in 25 remote indigenous communities in Nunavut, Canada. International Journal of Circumpolar Health. 84(1). 2439119–2439119.
2.
Anderson, Dale, et al.. (2022). Image Exchange in Canada: Examples from the Province of Ontario. Journal of Digital Imaging. 35(4). 743–753. 3 indexed citations
3.
Gunraj, Hayden, Ali Sabri, David Koff, & Alexander Wong. (2022). COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning. Frontiers in Medicine. 8. 729287–729287. 51 indexed citations
4.
Belaghi, Reza Arabi, et al.. (2021). Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review. European Radiology. 32(3). 1477–1495. 66 indexed citations
5.
Samavi, Reza, et al.. (2020). Using Medical Imaging Effective Dose in Deep Learning Models: Estimation and Evaluation. IEEE Transactions on Radiation and Plasma Medical Sciences. 5(2). 245–252. 2 indexed citations
6.
England, Ryan W., et al.. (2020). Expanding the reach of global health radiology via the world’s first medical hybrid airship: A SWOT analysis. Journal of Global Health. 10(1). 10374–10374. 7 indexed citations
7.
Ozimok, Cory, David Koff, & Naveen Parasu. (2020). Emphasizing the Diagnostic Value of Digital Tomosynthesis in Detecting Hip Fractures. Tomography. 6(3). 308–314. 1 indexed citations
8.
Koff, David. (2020). Deep Learning Model for Cancer Risk from Low Dose Medical Imaging Radiation. European Society of Radiology. 1 indexed citations
9.
Agrawal, Arun Prakash, et al.. (2015). Investigation into the need for ingesting foreign imaging exams into local systems and evaluation of the design challenges of Foreign Exam Management (FEM). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9418. 94180N–94180N. 2 indexed citations
10.
Mills, Caitlin E., Christopher Thome, David Koff, David W. Andrews, & Douglas R. Boreham. (2014). The Relative Biological Effectiveness of Low-Dose Mammography Quality X Rays in the Human Breast MCF-10A Cell Line. Radiation Research. 183(1). 42–51. 9 indexed citations
11.
Brunet, Dominique, et al.. (2014). The quest for 'diagnostically lossless' medical image compression: a comparative study of objective quality metrics for compressed medical images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9037. 903717–903717. 22 indexed citations
12.
Rodger, Ian W., Janet Dwyer, John Bienenstock, et al.. (2013). Evidence against the Involvement of Chronic Cerebrospinal Venous Abnormalities in Multiple Sclerosis. A Case-Control Study. PLoS ONE. 8(8). e72495–e72495. 18 indexed citations
13.
Sebastiano, Katie M. Di, Lin Yang, Kevin Zbuk, et al.. (2012). Accelerated muscle and adipose tissue loss may predict survival in pancreatic cancer patients: the relationship with diabetes and anaemia. British Journal Of Nutrition. 109(2). 302–312. 112 indexed citations
14.
15.
Roshanov, Pavel S, John J. You, Jasmine Dhaliwal, et al.. (2011). Can computerized clinical decision support systems improve practitioners' diagnostic test ordering behavior? A decision-maker-researcher partnership systematic review. Implementation Science. 6(1). 88–88. 103 indexed citations
16.
Scharcanski, Jacob, et al.. (2009). Interactive Modeling and Evaluation of Tumor Growth. Journal of Digital Imaging. 23(6). 755–768. 5 indexed citations
17.
Glanc, Phyllis, et al.. (2007). Fetal Sex Assignment by Sonographic Evaluation of the Pelvic Organs in the Second and Third Trimesters of Pregnancy. Journal of Ultrasound in Medicine. 26(5). 563–569. 11 indexed citations
18.
Koff, David, et al.. (2007). Implementing a large-scale multicentric study for evaluation of lossy JPEG and JPEG2000 medical image compression: challenges and rewards. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6515. 65151S–65151S. 2 indexed citations
19.
Koff, David & Harry Shulman. (2006). An overview of digital compression of medical images: can we use lossy image compression in radiology?. PubMed. 57(4). 211–7. 53 indexed citations
20.
Koff, David. (2005). Introducing Integrating the Healthcare Enterprise--Canada.. PubMed. 56(4). 225–31. 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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