Sofiane Maza
Impact in
- Nephrology top 10%
- Parathyroid Disorders and Treatments
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- CNS Lymphoma Diagnosis and Treatment
Papers in
- Oncology 8
- Cutaneous Melanoma Detection and Management 4
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- Lymphoma Diagnosis and Treatment 4
- Breast Lesions and Carcinomas 3
- Co-authors
- Mohamed Touahria (2 shared papers)D. L. Munz (13 shared papers)Wolfram Sterry (6 shared papers)Eckhard Thiel (3 shared papers)Agnieszka Korfel (3 shared papers)Andreas Radbruch (1 shared paper)Uwe Trefzer (2 shared papers)Bimba F. Hoyer (1 shared paper)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (7 papers)Journal of Clinical Oncology (2 papers)Blood (1 paper)Computers & Electrical Engineering (1 paper)Evolving Systems (1 paper)
- Partner nations
- GermanyAlgeriaUnited States
In The Last Decade
Sofiane Maza
25 papers receiving 570 citations
Peers
Comparison fields: 5 of 68
- Nephrology 69
- Neurology 78
- Oncology 125
- Genetics 49
- Pulmonary and Respiratory Medicine 138
Countries citing papers authored by Sofiane Maza
This map shows the geographic impact of Sofiane Maza'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 Sofiane Maza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofiane Maza more than expected).
Fields of papers citing papers by Sofiane Maza
This network shows the impact of papers produced by Sofiane Maza. 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 Sofiane Maza. The network helps show where Sofiane Maza may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofiane Maza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 119 | |
| 2 | 2006 | 79 | |
| 3 | 2010 | 61 | |
| 4 | 2003 | 42 | |
| 5 | 2019 | 40 | |
| 6 | 2018 | 40 | |
| 7 | 2008 | 37 | |
| 8 | 2013 | 34 | |
| 9 | 2003 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2006 | 16 | |
| 12 | 2008 | 15 | |
| 13 | 2004 | 15 | |
| 14 | 2019 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2006 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2004 | 5 | |
| 19 | 2002 | 5 | |
| 20 | 2024 | 3 |
About Sofiane Maza
Sofiane Maza is a scholar working on Oncology, Pathology and Forensic Medicine, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 28 papers that have together received 593 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Face and Expression Recognition (3 papers), Breast Cancer Treatment Studies (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Breast Lesions and Carcinomas (3 papers), Network Security and Intrusion Detection (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Nephrology (69 citations), Neurology (78 citations), Oncology (125 citations), Genetics (49 citations) and Pulmonary and Respiratory Medicine (138 citations). Sofiane Maza has collaborated with scholars based in Germany, Algeria and United States. Frequent co-authors include Mohamed Touahria, D. L. Munz, Wolfram Sterry, Eckhard Thiel, Agnieszka Korfel, Andreas Radbruch, Uwe Trefzer, Bimba F. Hoyer, R. Keitzer and Kay‐Geert Hermann. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Clinical Oncology, Blood, Computers & Electrical Engineering and Evolving Systems.
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.