Jiří Ferda

2.5k citations
147 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Papers in

Jiří Ferda

113 papers receiving 1.6k citations

Hit Papers

Photon-counting CT review 2020 · 378 citations
3780+2+4Years since publication100200300

Peers

Jiří Ferda
Comparison fields: 5 of 94
  • Radiology, Nuclear Medicine and Imaging 880
  • Biomedical Engineering 663
  • Pulmonary and Respiratory Medicine 478
  • Internal Medicine 50
  • Hepatology 75
Replace Patric Kröpil with:
Patric Kröpil Germany
Sabine Weckbach Germany
Ravi K. Kaza United States
Martin Dobritz Germany
Michael Fenchel Germany
Kazuhiro Katahira Japan
C Nolte-Ernsting Germany
Chiara Floridi Italy
Andrea Baur‐Melnyk Germany
Hilmar Kühl Germany
Jiří Ferda relative to Patric Kröpil Germany Patric Kröpil's profile →
Citations per field
00.5×2.7×
Patric Kröpil · 1×
Citations per year

Countries citing papers authored by Jiří Ferda

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Ferda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiří Ferda, 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 Jiří Ferda Line = papers co-authored together Jiří Ferda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Photon-counting CT review
Hit paper breakdown →
2020378
2 200971
3 201464
4 200963
5 201463
6 201560
7 202157
8 200954
9
New molecularly targeted therapies for glioblastoma multiforme.
201251
10 200842
11 200737
12 200930
13 201026
14
18F-FDG-PET/CT in potentially advanced renal cell carcinoma: a role in treatment decisions and prognosis estimation.
201326
15 200725
16 200925
17 201224
18 200923
19 200721
20 201421

About Jiří Ferda

Jiří Ferda is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Epidemiology, having authored 147 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (30 papers), MRI in cancer diagnosis (22 papers), Medical Imaging Techniques and Applications (21 papers), Renal and related cancers (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced MRI Techniques and Applications (14 papers), Prostate Cancer Diagnosis and Treatment (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (880 citations), Biomedical Engineering (663 citations), Pulmonary and Respiratory Medicine (478 citations), Internal Medicine (50 citations) and Hepatology (75 citations). Jiří Ferda has collaborated with scholars based in Czechia, Germany and Singapore. Frequent co-authors include Bernhard Schmidt, Thomas Flohr, Jan Baxa, André Henning, Stefan Ulzheimer, Eva Ferdová, Martin Petersilka, Boris Kreuzberg, Hynek Mírka and Milan Hora. Their work appears in journals such as European Journal of Radiology, Anticancer Research, European Radiology, World Journal of Urology and Strahlentherapie und Onkologie.

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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