Mira Valkonen

3.4k total citations
9 papers, 141 citations indexed

About

Mira Valkonen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mira Valkonen has authored 9 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mira Valkonen's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Digital Imaging for Blood Diseases (3 papers). Mira Valkonen is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Digital Imaging for Blood Diseases (3 papers). Mira Valkonen collaborates with scholars based in Finland and United States. Mira Valkonen's co-authors include Pekka Ruusuvuori, Matti Nykter, Leena Latonen, Kimmo Kartasalo, Kaisa Liimatainen, Tapio Visakorpi, Teemu Tolonen, Jorma Isola, Gunilla Högnäs and G. Steven Bova and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Mira Valkonen

9 papers receiving 138 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mira Valkonen Finland	9	101	60	53	36	22	9	141
Hady Ahmady Phoulady United States	7	142 1.4×	57 0.9×	88 1.7×	52 1.4×	33 1.5×	11	210
Maxime W. Lafarge Netherlands	9	55 0.5×	97 1.6×	86 1.6×	22 0.6×	20 0.9×	11	211
Niccolò Marini Switzerland	9	157 1.6×	102 1.7×	74 1.4×	27 0.8×	23 1.0×	20	213
Aman Rana United States	6	75 0.7×	34 0.6×	35 0.7×	38 1.1×	22 1.0×	16	185
Shazia Akbar United Kingdom	8	150 1.5×	116 1.9×	104 2.0×	50 1.4×	39 1.8×	20	269
Dig Vijay Kumar Yarlagadda United States	7	123 1.2×	79 1.3×	54 1.0×	16 0.4×	25 1.1×	9	181
Can Koyuncu United States	10	123 1.2×	106 1.8×	69 1.3×	73 2.0×	30 1.4×	21	253
Raja Muhammad Saad Bashir United Kingdom	6	81 0.8×	58 1.0×	73 1.4×	14 0.4×	8 0.4×	7	159
Quoc Dang Vu United Kingdom	7	166 1.6×	130 2.2×	99 1.9×	35 1.0×	20 0.9×	11	249
Pushpak Pati Switzerland	9	166 1.6×	101 1.7×	80 1.5×	33 0.9×	30 1.4×	20	237

Countries citing papers authored by Mira Valkonen

Since Specialization

Citations

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

Fields of papers citing papers by Mira Valkonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mira Valkonen

This figure shows the co-authorship network connecting the top 25 collaborators of Mira Valkonen. A scholar is included among the top collaborators of Mira Valkonen 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 Mira Valkonen. Mira Valkonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Valkonen, Mira, et al.. (2023). The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility. Patterns. 4(5). 100725–100725. 9 indexed citations

Valkonen, Mira, et al.. (2023). Deformation equivariant cross-modality image synthesis with paired non-aligned training data. Medical Image Analysis. 90. 102940–102940. 8 indexed citations

Ruusuvuori, Pekka, Masi Valkonen, Kimmo Kartasalo, et al.. (2022). Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment. Heliyon. 8(1). e08762–e08762. 10 indexed citations

Valkonen, Mira, Gunilla Högnäs, G. Steven Bova, & Pekka Ruusuvuori. (2020). Generalized Fixation Invariant Nuclei Detection Through Domain Adaptation Based Deep Learning. IEEE Journal of Biomedical and Health Informatics. 25(5). 1747–1757. 10 indexed citations

Valkonen, Mira, et al.. (2019). Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67. IEEE Transactions on Medical Imaging. 39(2). 534–542. 39 indexed citations

Valkonen, Mira, Pekka Ruusuvuori, Kimmo Kartasalo, et al.. (2017). Analysis of spatial heterogeneity in normal epithelium and preneoplastic alterations in mouse prostate tumor models. Scientific Reports. 7(1). 44831–44831. 10 indexed citations

Valkonen, Mira, Kimmo Kartasalo, Kaisa Liimatainen, et al.. (2017). Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology. 33. 27–35. 8 indexed citations

Valkonen, Mira, Kimmo Kartasalo, Kaisa Liimatainen, et al.. (2017). Metastasis detection from whole slide images using local features and random forests. Cytometry Part A. 91(6). 555–565. 39 indexed citations

Ruusuvuori, Pekka, Mira Valkonen, Matti Nykter, Tapio Visakorpi, & Leena Latonen. (2016). Feature-based analysis of mouse prostatic intraepithelial neoplasia in histological tissue sections. Journal of Pathology Informatics. 7(1). 5–5. 8 indexed citations

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.

Explore authors with similar magnitude of impact