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.
Methods and metrics for cold-start recommendations
20021.1k citationsAndrew I. Schein, Alexandrin Popescul 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 Alexandrin Popescul
Since
Specialization
Citations
This map shows the geographic impact of Alexandrin Popescul'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 Alexandrin Popescul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandrin Popescul more than expected).
Fields of papers citing papers by Alexandrin Popescul
This network shows the impact of papers produced by Alexandrin Popescul. 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 Alexandrin Popescul. The network helps show where Alexandrin Popescul may publish in the future.
Co-authorship network of co-authors of Alexandrin Popescul
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandrin Popescul.
A scholar is included among the top collaborators of Alexandrin Popescul 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 Alexandrin Popescul. Alexandrin Popescul is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pavlov, Dmitry, Alexandrin Popescul, David M. Pennock, & Lyle Ungar. (2003). Mixtures of conditional maximum entropy models. 584–591.14 indexed citations
12.
Popescul, Alexandrin & Lyle Ungar. (2003). Structural Logistic Regression for Link Analysis. ScholarlyCommons (University of Pennsylvania).43 indexed citations
13.
Popescul, Alexandrin & Lyle Ungar. (2003). Statistical Relational Learning for Link Prediction.147 indexed citations
14.
Schein, Andrew I., Alexandrin Popescul, Lyle Ungar, & David M. Pennock. (2002). Methods and metrics for cold-start recommendations. 253–260.1104 indexed citations breakdown →
Popescul, Alexandrin, Lyle Ungar, Steve Lawrence, & David M. Pennock. (2002). Towards Structural Logistic Regression: Combining Relational and Statistical Learning. ScholarlyCommons (University of Pennsylvania).17 indexed citations
18.
Schein, Andrew I., Alexandrin Popescul, Lyle Ungar, & David M. Pennock. (2001). Generative Models for Cold-Start Recommendations.39 indexed citations
19.
Schein, Andrew I., Alexandrin Popescul, & Lyle Ungar. (2001). PennAspect: A Two-Way Aspect Model Implementation. ScholarlyCommons (University of Pennsylvania).5 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.