David Andrzejewski

1.7k total citations · 1 hit paper
11 papers, 981 citations indexed

About

David Andrzejewski is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, David Andrzejewski has authored 11 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in David Andrzejewski's work include Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (5 papers). David Andrzejewski is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (5 papers). David Andrzejewski collaborates with scholars based in United States and Canada. David Andrzejewski's co-authors include Xiaojin Zhu, Mark Craven, David Buttler, Philip Kegelmeyer, Keith Stevens, Andrew B. Goldberg, Jurgen Van Gael, Benjamin Recht, Nathanael R. Fillmore and Bryan R. Gibson and has published in prestigious journals such as Empirical Methods in Natural Language Processing, PubMed and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

David Andrzejewski

11 papers receiving 912 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.

Exploring Topic Coherence over Many Models and Many Topics

2012 289 citations Keith Stevens, Philip Kegelmeyer et al. Empirical Methods in Natural Language Processing profile →

Peers

Countries citing papers authored by David Andrzejewski

Since Specialization

Citations

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

Fields of papers citing papers by David Andrzejewski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Andrzejewski. 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 David Andrzejewski. The network helps show where David Andrzejewski may publish in the future.

Co-authorship network of co-authors of David Andrzejewski

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Exploring Topic Coherence over Many Models and Many Topics breakdown → 2012 ·Empirical Methods in Natural Language Processing ·Keith Stevens, Philip Kegelmeyer, David Andrzejewski, David Buttler	289
2	A framework for incorporating general domain knowledge into latent Dirichlet allocation using first-order logic 2011 ·International Joint Conference on Artificial Intelligence ·David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht	82
3	Latent topic feedback for information retrieval 2011 ·David Andrzejewski, David Buttler	29
4	Inferring compositional style in the neo-plastic paintings of Piet Mondrian by machine learning 2010 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·David Andrzejewski, David G. Stork, Xiaojin Zhu, (unknown)	4
5	Incorporating domain knowledge in latent topic models 2010 ·Mark Craven, Xiaojin Zhu, David Andrzejewski	4
6	Incorporating domain knowledge into topic modeling via Dirichlet Forest priors 2009 ·PubMed ·David Andrzejewski, Xiaojin Zhu, Mark Craven	278
7	Latent Dirichlet Allocation with topic-in-set knowledge 2009 ·David Andrzejewski, Xiaojin Zhu	83
8	May all your wishes come true 2009 ·Andrew B. Goldberg, Nathanael R. Fillmore, David Andrzejewski, Zhiting Xu, Bryan R. Gibson, Xiaojin Zhu	49
9	Improving Diversity in Ranking using Absorbing Random Walks 2007 ·North American Chapter of the Association for Computational Linguistics ·Xiaojin Zhu, Andrew B. Goldberg, Jurgen Van Gael, David Andrzejewski	147
10	Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006. 2006 ·Text REtrieval Conference ·Andrew B. Goldberg, David Andrzejewski, Jurgen Van Gael, Burr Settles, Xiaojin Zhu, Mark Craven	15
11	Modeling Protein-Protein Interactions in Biomedical Abstracts with Latent Dirichlet Allocation 2006 ·David Andrzejewski	1

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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