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.
This map shows the geographic impact of Ruzena Bajcsy'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 Ruzena Bajcsy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruzena Bajcsy more than expected).
This network shows the impact of papers produced by Ruzena Bajcsy. 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 Ruzena Bajcsy. The network helps show where Ruzena Bajcsy may publish in the future.
Co-authorship network of co-authors of Ruzena Bajcsy
This figure shows the co-authorship network connecting the top 25 collaborators of Ruzena Bajcsy.
A scholar is included among the top collaborators of Ruzena Bajcsy 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 Ruzena Bajcsy. Ruzena Bajcsy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sadigh, Dorsa, Katherine Driggs-Campbell, Alberto Puggelli, et al.. (2014). Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior. eScholarship (California Digital Library). 56–61.38 indexed citations
Bajcsy, Ruzena, et al.. (2003). Omnidirectional three-dimensional stereo computer vision sensor using reflective cone mirror. 144–144.1 indexed citations
7.
Gur, Ruben C., et al.. (2002). A method for obtaining 3-dimensional facial expressions and its standardization for use in neurocognitive studies. Journal of Neuroscience Methods. 115(2). 137–143.535 indexed citations breakdown →
8.
Bajcsy, Ruzena, et al.. (1997). The Effect of Radiometric Correction on Multicamera Algorithms. ScholarlyCommons (University of Pennsylvania).4 indexed citations
9.
Koivunen, Visa, Jean-Marc Vézien, & Ruzena Bajcsy. (1995). Multiple representation approach to geometric model construction from range data. ScholarlyCommons (University of Pennsylvania). 96. 11108.2 indexed citations
Bajcsy, Ruzena, et al.. (1992). Color image segmentation with detection of highlights and local illumination induced by inter-reflections. 199–204.2 indexed citations
Bajcsy, Ruzena, et al.. (1989). Evaluation of a robotic tactile sensor. International Conference on Human-Computer Interaction. 520–527.1 indexed citations
17.
Salganicoff, Marcos, et al.. (1989). Receptive Fields for the Determination of Textured Surface Inclination. ScholarlyCommons (University of Pennsylvania).2 indexed citations
18.
Solina, Franc & Ruzena Bajcsy. (1987). Range image interpretation of mail pieces with superquadrics. Repository of the University of Ljubljana (University of Ljubljana). 733–737.13 indexed citations
Bajcsy, Ruzena, et al.. (1977). Steps towards the representation of complex three-dimensional objects. International Joint Conference on Artificial Intelligence. 596–596.2 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.