G Freĭtag

654 citations
29 papers · 433 · h-index 11

Impact in

Papers in

    • Statistical Methods in Clinical Trials 7
    • Statistical Methods and Inference 6
    • Statistical Methods and Bayesian Inference 5
    • Testicular diseases and treatments 2

G Freĭtag

27 papers receiving 403 citations

Peers

G Freĭtag
Comparison fields: 5 of 98
  • Statistics and Probability 155
  • Statistics, Probability and Uncertainty 43
  • Pharmaceutical Science 29
  • Rheumatology 62
  • Dermatology 34
Replace Matt Hutmacher with:
Matt Hutmacher United States
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Citations per field
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Citations per year

Countries citing papers authored by G Freĭtag

Since Specialization
Citations

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

Fields of papers citing papers by G Freĭtag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside G Freĭtag, 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 G Freĭtag Line = papers co-authored together G Freĭtag links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200584
2 200460
3
Identification of radiologic healing phenomena in patients with rheumatoid arthritis.
200157
4 200142
5 199741
6 198630
7
Transluminal angioplasty for the treatment of carotid artery stenoses.
198721
8 200618
9 200316
10 200514
11 200412
12 20057
13 20076
14
[Percutaneous transluminal angioplasty in abdominal angina--stenosis of the celiac-mesenteric trunk].
19886
15 19983
16 20032
17 20042
18 19842
19
[Computed tomographic diagnosis of rectal tumors].
19892
20
[Antibiotics properties of saccharides and honey].
19551

About G Freĭtag

G Freĭtag is a scholar working on Statistics and Probability, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 29 papers that have together received 433 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Renal cell carcinoma treatment (2 papers), Cancer Diagnosis and Treatment (2 papers), Multiple and Secondary Primary Cancers (2 papers) and Testicular diseases and treatments (2 papers). The work is most often cited by research in Statistics and Probability (155 citations), Statistics, Probability and Uncertainty (43 citations), Pharmaceutical Science (29 citations), Rheumatology (62 citations) and Dermatology (34 citations). G Freĭtag has collaborated with scholars based in Germany and United States. Frequent co-authors include Stefan Lange, Axel Munk, Nicolai Bissantz, G. Herborn, Rolf Rau, Siegfried Wassenberg, Guido Skipka, Claudia Czado, Peter C. Heinrich and Hans J. Trampisch. Their work appears in journals such as Journal of Multivariate Analysis, Biometrical Journal, Journal of Statistical Planning and Inference, Drug Information Journal and Computational Statistics & Data Analysis.

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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