Parisa Movahedi

449 citations
15 papers · 326 indexed · h-index 8

Parisa Movahedi

14 papers receiving 320 citations

Peers

Parisa Movahedi
Comparison fields: 5 of 79
  • Health Informatics 11
  • Radiology, Nuclear Medicine and Imaging 119
  • Biophysics 19
  • Pulmonary and Respiratory Medicine 89
  • Health Information Management 11
Replace Chunyan Chu with:
Chunyan Chu China
Axel Saalbach Germany
Truong Nguyen Khanh Hung Vietnam
Tao Tan China
Sébastien Jodogne Belgium
Hitoshi Imaoka Japan
Shifeng Zhao China
Jia Gu China
Wenqing Sun China
Zeshan Hussain United States
Parisa Movahedi relative to Chunyan Chu China Chunyan Chu's profile →
Citations per field
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Chunyan Chu · 1×
Citations per year

Countries citing papers authored by Parisa Movahedi

Since Specialization
Citations

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

Fields of papers citing papers by Parisa Movahedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Parisa Movahedi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Parisa Movahedi Line = papers co-authored together Parisa Movahedi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20241
2 20240
3 20234
4 202051
5 20204
6 201979
7 20198
8 201873
9 201830
10
Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions
20161
11 20166
12 201648
13 20151
14 201410
15 201410

About Parisa Movahedi

Parisa Movahedi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computer Science Applications, having authored 15 papers that have together received 326 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Privacy-Preserving Technologies in Data (3 papers), MRI in cancer diagnosis (2 papers), Ethics in Clinical Research (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Prostate Cancer Treatment and Research (2 papers) and Thermal properties of materials (1 paper). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (119 citations) and Biophysics (19 citations). Parisa Movahedi has collaborated with scholars based in Finland, United States and Malaysia. Frequent co-authors include Tapio Pahikkala, Ileana Montoya Perez, Ivan Jambor, Peter J. Boström, Harri Merisaari, Hannu J. Aronen, Pekka Taimen, M. Pesola, Aida Kiviniemi and Jukka Heikkonen. Their work appears in journals such as Computers in Biology and Medicine, Scientific Reports, Analytical Chemistry, Beilstein Journal of Nanotechnology and 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.

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