Mateja Blas

9 papers receiving 410 citations

Peers

Mateja Blas
Comparison fields: 5 of 121
  • Orthopedics and Sports Medicine 97
  • Obstetrics and Gynecology 70
  • Physical Therapy, Sports Therapy and Rehabilitation 36
  • Radiation 42
  • Life-span and Life-course Studies 3
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Michael Curran United States
Roger Roger France
Clara Martínez-Pérez Spain
Chuan Liu China
Pedro Guimarães Portugal
Wenqing He Canada
E. Walker United States
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J.L. Domínguez-Escrig Spain
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Citations per field
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Citations per year

Countries citing papers authored by Mateja Blas

Since Specialization
Citations

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

Fields of papers citing papers by Mateja Blas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Mateja Blas, 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 Mateja Blas Line = papers co-authored together Mateja Blas links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Comparison of logistic regression and linear discriminant analysis : a simulation study
2004174
2 201093
3 201374
4 200433
5 201221
6
Razlike u motoričkim sposobnostima vrhunskih europskih mladih košarkašica različitih igračkih pozicija
200913
7 201312
8 20118
9
Villous adenoma of the appendix. Diagnostic and therapeutic approach.
20026

About Mateja Blas

Mateja Blas is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Obstetrics and Gynecology, Genetics and Orthopedics and Sports Medicine, having authored 9 papers that have together received 434 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), MRI in cancer diagnosis (2 papers), Genetics and Physical Performance (2 papers), Sports Performance and Training (2 papers), Advanced Radiotherapy Techniques (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Statistical Methods and Applications (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (97 citations), Obstetrics and Gynecology (70 citations), Physical Therapy, Sports Therapy and Rehabilitation (36 citations), Radiation (42 citations) and Life-span and Life-course Studies (3 citations). Mateja Blas has collaborated with scholars based in Slovenia, Greece and Croatia. Frequent co-authors include Maja Pohar Perme, Frane Erčulj, Johannes Dimopoulos, Robert Hudej, Peter Rogelj, Primož Petrič, Daniel Berger, Richard Pötter, Christian Kirisits and Taran Paulsen Hellebust. Their work appears in journals such as Pathology & Oncology Research, Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, The Journal of Strength and Conditioning Research and Radiology and Oncology.

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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