Andrew I. Schein

2.8k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Andrew I. Schein is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Andrew I. Schein has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in Andrew I. Schein's work include Machine Learning and Algorithms (4 papers), Topic Modeling (4 papers) and Recommender Systems and Techniques (4 papers). Andrew I. Schein is often cited by papers focused on Machine Learning and Algorithms (4 papers), Topic Modeling (4 papers) and Recommender Systems and Techniques (4 papers). Andrew I. Schein collaborates with scholars based in United States. Andrew I. Schein's co-authors include Lyle Ungar, Alexandrin Popescul, David M. Pennock, Martha Palmer, Lawrence K. Saul, Jinying Chen, Ryan McDonald, Mark A. Mandel, Ann Bies and Seth Kulick and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Machine Learning.

In The Last Decade

Andrew I. Schein

14 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

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

2002 1.1k citations Andrew I. Schein, Alexandrin Popescul et al. profile →

Peers

Countries citing papers authored by Andrew I. Schein

Since Specialization

Citations

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

Fields of papers citing papers by Andrew I. Schein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew I. Schein. 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 Andrew I. Schein. The network helps show where Andrew I. Schein may publish in the future.

Co-authorship network of co-authors of Andrew I. Schein

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	AUTHOR ATTRIBUTION EVALUATION WITH NOVEL TOPIC CROSS-VALIDATION 2010 ·Andrew I. Schein, (unknown), (unknown), Craig Martell	7
2	PROJECTING AWAY THE CLASS IMBALANCE PROBLEM IN AUTHOR ATTRIBUTION 2009 ·International Journal of Semantic Computing ·(unknown), Craig Martell, Andrew I. Schein, Pranav Anand	1
3	Active learning for logistic regression: an evaluation 2007 ·Machine Learning ·Andrew I. Schein, Lyle Ungar	218
4	An empirical study of the behavior of active learning for word sense disambiguation 2006 ·Jinying Chen, Andrew I. Schein, Lyle Ungar, Martha Palmer	62
5	Automatic term list generation for entity tagging 2005 ·Bioinformatics ·(unknown), Andrew I. Schein, Lyle Ungar	8
6	Integrated Annotation for Biomedical Information Extraction 2004 ·North American Chapter of the Association for Computational Linguistics ·Seth Kulick, Ann Bies, Mark Liberman, Mark A. Mandel, Ryan McDonald, Martha Palmer, Andrew I. Schein, (unknown), (unknown), (unknown)	135
7	Bayesian Example Selection Using BaBiES 2004 ·ScholarlyCommons (University of Pennsylvania) ·Andrew I. Schein, (unknown), Lyle Ungar	2
8	CROC: A New Evaluation Criterion for Recommender Systems 2004 ·Electronic Commerce Research ·Andrew I. Schein, Alexandrin Popescul, Lyle Ungar, David M. Pennock	16
9	A -Optimality for Active Learning of Logistic Regression Classifiers 2004 ·Scholarly Commons (University of Pennsylvania) ·Andrew I. Schein, Lyle Ungar	3
10	A Generalized Linear Model for Principal Component Analysis of Binary Data 2003 ·International Conference on Artificial Intelligence and Statistics ·Andrew I. Schein, Lawrence K. Saul, Lyle Ungar	87
11	Methods and metrics for cold-start recommendations 2002 ·Andrew I. Schein, Alexandrin Popescul, Lyle Ungar, David M. Pennock	44
12	Methods and metrics for cold-start recommendations breakdown → 2002 ·Andrew I. Schein, Alexandrin Popescul, Lyle Ungar, David M. Pennock	1104
13	Chloroplast transit peptide prediction: a peek inside the black box 2001 ·Nucleic Acids Research ·Andrew I. Schein	76
14	Generative Models for Cold-Start Recommendations 2001 ·Andrew I. Schein, Alexandrin Popescul, Lyle Ungar, David M. Pennock	39
15	PennAspect: A Two-Way Aspect Model Implementation 2001 ·ScholarlyCommons (University of Pennsylvania) ·Andrew I. Schein, Alexandrin Popescul, Lyle Ungar	5

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.

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