On modeling
- Journal
- Magnetic Resonance in Medicine
In The Last Decade
doi.org/10.1002/mrm.27101 →Countries where authors are citing On modeling
This map shows the geographic impact of On modeling. 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 On modeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites On modeling more than expected).
Fields of papers citing On modeling
This network shows the impact of On modeling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the On modeling.
About On modeling
This paper, published in 2018, received 243 indexed citations . Written by Dmitry S. Novikov, Valerij G. Kiselev and Sune Nørhøj Jespersen covering the research area of Computational Mathematics and Radiology, Nuclear Medicine and Imaging. It is primarily cited by scholars working on Radiology, Nuclear Medicine and Imaging (233 citations), Orthopedics and Sports Medicine (40 citations) and Nuclear and High Energy Physics (36 citations). Published in Magnetic Resonance in Medicine.
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.
This paper is also available at doi.org/10.1002/mrm.27101.