Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
20063.8k citationsAnne E. Carpenter, Thouis R. Jones et al.profile →
A Generative Model for Image Segmentation Based on Label Fusion
2010357 citationsMert R. Sabuncu, B.T. Thomas Yeo et al.IEEE Transactions on Medical Imagingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Polina Golland
Since
Specialization
Citations
This map shows the geographic impact of Polina Golland'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 Polina Golland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Polina Golland more than expected).
This network shows the impact of papers produced by Polina Golland. 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 Polina Golland. The network helps show where Polina Golland may publish in the future.
Co-authorship network of co-authors of Polina Golland
This figure shows the co-authorship network connecting the top 25 collaborators of Polina Golland.
A scholar is included among the top collaborators of Polina Golland 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 Polina Golland. Polina Golland is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Young, Sean I., Adrian V. Dalca, Enzo Ferrante, et al.. (2023). Supervision by Denoising. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7279–7291.3 indexed citations
Golland, Polina, et al.. (2019). Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. Lecture notes in computer science. 11766. 356–365.2 indexed citations
8.
Dalca, Adrian V., Katherine L. Bouman, William T. Freeman, et al.. (2018). Medical Image Imputation From Image Collections. IEEE Transactions on Medical Imaging. 38(2). 504–514.25 indexed citations
Langs, Georg, Polina Golland, & Satrajit Ghosh. (2015). Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion. DSpace@MIT (Massachusetts Institute of Technology).4 indexed citations
11.
Ayache, Nicholas, Hervé Delingette, Polina Golland, & Kensaku Mori. (2012). Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I.11 indexed citations
12.
Raviv, Tammy Riklin, Koen Van Leemput, Bjoern Menze, Polina Golland, & William M. Wells. (2010). Segmentation of image ensembles via latent atlases. HAL (Le Centre pour la Communication Scientifique Directe).1 indexed citations
13.
Ou, Wanmei, William M. Wells, & Polina Golland. (2010). Combining spatial priors and anatomical information for fMRI detection. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
Sabuncu, Mert R., et al.. (2009). Supervised Nonparametric Image Parcellation. DSpace@MIT (Massachusetts Institute of Technology).6 indexed citations
16.
Sabuncu, Mert R., et al.. (2008). Prediction of Successful Memory Encoding from fMRI Data.5 indexed citations
17.
Wheeler, Douglas B., David M. Sabatini, Polina Golland, et al.. (2008). CellProfiler Analyst: data exploration and analysis software for complex image-based screens. DSpace@MIT (Massachusetts Institute of Technology).19 indexed citations
Ou, Wanmei, Polina Golland, & Matti Hämäläinen. (2007). Sources of Variability in MEG. Lecture notes in computer science. 10(Pt 2). 751–759.11 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.