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.
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
20141.9k citationsCatalin Ionescu, Vlad Olaru et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
2011394 citationsJoão Carreira, Cristian SminchisescuIEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection
2013290 citationsMihai Zanfir, Marius Leordeanu et al.profile →
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models
2020191 citationsHongyi Xu, Eduard Gabriel Băzăvan et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Cristian Sminchisescu
Since
Specialization
Citations
This map shows the geographic impact of Cristian Sminchisescu'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 Cristian Sminchisescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristian Sminchisescu more than expected).
Fields of papers citing papers by Cristian Sminchisescu
This network shows the impact of papers produced by Cristian Sminchisescu. 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 Cristian Sminchisescu. The network helps show where Cristian Sminchisescu may publish in the future.
Co-authorship network of co-authors of Cristian Sminchisescu
This figure shows the co-authorship network connecting the top 25 collaborators of Cristian Sminchisescu.
A scholar is included among the top collaborators of Cristian Sminchisescu 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 Cristian Sminchisescu. Cristian Sminchisescu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zanfir, Mihai, et al.. (2021). REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision. Neural Information Processing Systems. 34.8 indexed citations
3.
Xu, Hongyi, Thiemo Alldieck, & Cristian Sminchisescu. (2021). H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion. arXiv (Cornell University).1 indexed citations
4.
Sminchisescu, Cristian, et al.. (2021). Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing. KTH Publication Database DiVA (KTH Royal Institute of Technology).6 indexed citations
5.
Sminchisescu, Cristian, et al.. (2021). TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks. International Conference on Learning Representations.1 indexed citations
6.
Sminchisescu, Cristian, et al.. (2019). Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction. Lund University Publications (Lund University). 32. 3907–3917.16 indexed citations
7.
Zanfir, Andrei, et al.. (2018). Deep network for the integrated 3D sensing of multiple people in natural images. Lund University Publications (Lund University). 31. 8410–8419.59 indexed citations
8.
Ionescu, Catalin, et al.. (2017). Large-Scale Data-Dependent Kernel Approximation. Lund University Publications (Lund University). 19–27.3 indexed citations
9.
Mathe, Stefan & Cristian Sminchisescu. (2014). Actions in the Eye. Journal of Vision. 14(10). 100–100.5 indexed citations
10.
Leordeanu, Marius & Cristian Sminchisescu. (2012). Efficient Hypergraph Clustering. International Conference on Artificial Intelligence and Statistics. 676–684.16 indexed citations
11.
Li, Fuxin, Guy Lebanon, & Cristian Sminchisescu. (2012). Chebyshev Approximations to the Histogram $\chi^2$ Kernel. arXiv (Cornell University).3 indexed citations
12.
Carreira, João & Cristian Sminchisescu. (2011). CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(7). 1312–1328.394 indexed citations breakdown →
13.
Ion, Adrian, João Carreira, & Cristian Sminchisescu. (2011). Probabilistic Joint Image Segmentation and Labeling. Neural Information Processing Systems. 24. 1827–1835.25 indexed citations
Bo, Liefeng & Cristian Sminchisescu. (2009). Supervised Spectral Latent Variable Models. International Conference on Artificial Intelligence and Statistics. 33–40.7 indexed citations
16.
Bo, Liefeng & Cristian Sminchisescu. (2009). Efficient Match Kernel between Sets of Features for Visual Recognition. Neural Information Processing Systems. 22. 135–143.136 indexed citations
17.
Li, Fuxin, et al.. (2009). Kernel Learning by Unconstrained Optimization. International Conference on Artificial Intelligence and Statistics. 328–335.12 indexed citations
18.
Lu, Zhengdong, Cristian Sminchisescu, & Miguel Á. Carreira-Perpiñán. (2007). People Tracking with the Laplacian Eigenmaps Latent Variable Model. Neural Information Processing Systems. 20. 1705–1712.34 indexed citations
19.
Sminchisescu, Cristian, et al.. (2005). Conditional Visual Tracking in Kernel Space. Neural Information Processing Systems. 18. 1249–1256.16 indexed citations
20.
Sminchisescu, Cristian & Alexandru Telea. (2002). Human pose estimation from silhouettes: a consistent approach using distance level sets. Digital Library (University of West Bohemia). 10. 413–420.47 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.