Ritva Järvenpää

53 total papers · 1.1k total citations
44 papers, 914 citations indexed

About

Ritva Järvenpää is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Ritva Järvenpää has authored 44 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Ritva Järvenpää's work include Lymphoma Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Ritva Järvenpää is often cited by papers focused on Lymphoma Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Ritva Järvenpää collaborates with scholars based in Finland, United States and Sweden. Ritva Järvenpää's co-authors include Eeva Moilanen, Lauri Lehtimäki, Hannu Eskola, Hannu Kankaanranta, Hannu Pertovaara, Prasun Dastidar, Jukka Uitti, Panu Oksa, Pirkko‐Liisa Kellokumpu‐Lehtinen and Xingchen Wu and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and European Respiratory Journal.

In The Last Decade

Ritva Järvenpää

44 papers receiving 884 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ritva Järvenpää	420	330	223	139	74	44	914
Ryoko Egashira	576 1.4×	214 0.6×	202 0.9×	140 1.0×	69 0.9×	57	1.0k
Lucio Calandriello	905 2.2×	376 1.1×	313 1.4×	64 0.5×	49 0.7×	42	1.2k
Stefan Vöö	506 1.2×	346 1.0×	249 1.1×	68 0.5×	132 1.8×	45	1.1k
Hyun J. Kim	938 2.2×	318 1.0×	151 0.7×	271 1.9×	73 1.0×	32	1.1k
John T. Murchison	766 1.8×	190 0.6×	261 1.2×	29 0.2×	45 0.6×	49	1.2k
U YUN RYO	345 0.8×	196 0.6×	315 1.4×	44 0.3×	116 1.6×	44	1.1k
Ronan P. Killeen	281 0.7×	297 0.9×	66 0.3×	80 0.6×	79 1.1×	79	1.0k
Thorsten Klink	763 1.8×	183 0.6×	214 1.0×	71 0.5×	23 0.3×	39	1.1k
Michelle Ludwig	560 1.3×	362 1.1×	164 0.7×	35 0.3×	195 2.6×	51	1.1k
M Heckmann	239 0.6×	472 1.4×	100 0.4×	81 0.6×	81 1.1×	30	1.1k

Countries citing papers authored by Ritva Järvenpää

Since Specialization

Citations

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

Fields of papers citing papers by Ritva Järvenpää

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritva Järvenpää

This figure shows the co-authorship network connecting the top 25 collaborators of Ritva Järvenpää. A scholar is included among the top collaborators of Ritva Järvenpää based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ritva Järvenpää. Ritva Järvenpää is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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