Rita I. Freimanis

52 total papers · 1.3k total citations
34 papers, 973 citations indexed

About

Rita I. Freimanis is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Rita I. Freimanis has authored 34 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Artificial Intelligence and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Rita I. Freimanis's work include AI in cancer detection (12 papers), Breast Lesions and Carcinomas (10 papers) and Global Cancer Incidence and Screening (9 papers). Rita I. Freimanis is often cited by papers focused on AI in cancer detection (12 papers), Breast Lesions and Carcinomas (10 papers) and Global Cancer Incidence and Screening (9 papers). Rita I. Freimanis collaborates with scholars based in United States, Taiwan and Canada. Rita I. Freimanis's co-authors include Yui Man Lui, Edward A. Levine, Jennifer J. Hu, Tasha Smith, Nancy D. Perrier, Glenn O. Allen, Wen Liu‐Mares, Kimberly Hoang, Steven A. Akman and Bonnie N. Joe and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Cancer Research and Radiology.

In The Last Decade

Rita I. Freimanis

32 papers receiving 926 citations

Author Peers

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

Author						Papers	Cites
Rita I. Freimanis	304	290	283	233	200	34	973
Ruoxi Yu	261 0.9×	187 0.6×	217 0.8×	326 1.4×	510 2.5×	42	1.2k
Manohar Pradhan	250 0.8×	239 0.8×	307 1.1×	237 1.0×	349 1.7×	49	1.1k
Qing Guan	267 0.9×	135 0.5×	210 0.7×	188 0.8×	228 1.1×	46	1.1k
Louise Wilkinson	252 0.8×	259 0.9×	267 0.9×	280 1.2×	368 1.8×	42	1.2k
Alan B. Hollingsworth	288 0.9×	221 0.8×	426 1.5×	144 0.6×	204 1.0×	53	1.0k
Ruth English	194 0.6×	159 0.5×	196 0.7×	109 0.5×	250 1.3×	31	802
Maeve Mullooly	339 1.1×	212 0.7×	290 1.0×	183 0.8×	607 3.0×	49	1.1k
Jun Xiang	241 0.8×	180 0.6×	240 0.8×	99 0.4×	151 0.8×	49	992
Balázs Ács	222 0.7×	429 1.5×	454 1.6×	163 0.7×	551 2.8×	49	1.2k
Ronald Chan	271 0.9×	129 0.4×	107 0.4×	125 0.5×	235 1.2×	54	1.2k

Countries citing papers authored by Rita I. Freimanis

Since Specialization

Citations

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

Fields of papers citing papers by Rita I. Freimanis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita I. Freimanis. 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 Rita I. Freimanis. The network helps show where Rita I. Freimanis may publish in the future.

Co-authorship network of co-authors of Rita I. Freimanis

This figure shows the co-authorship network connecting the top 25 collaborators of Rita I. Freimanis. A scholar is included among the top collaborators of Rita I. Freimanis 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 Rita I. Freimanis. Rita I. Freimanis 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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