Andrew B. Goldberg

31 papers receiving 2.9k citations

Hit Papers

Introduction to Semi-Supervised Learning2009202620142020200920092505007501000

Peers

Andrew B. Goldberg
Comparison fields: 5 of 172
  • Artificial Intelligence 1.8k
  • Computer Vision and Pattern Recognition 871
  • Information Systems 316
  • Signal Processing 241
  • Molecular Biology 198
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Ah‐Hwee Tan Singapore
Wenyuan Dai China
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Qingcai Chen China
Hyung-Jeong Yang South Korea
Zichao Yang United States
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Citations per year

Countries citing papers authored by Andrew B. Goldberg

Since Specialization
Citations

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

Fields of papers citing papers by Andrew B. Goldberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew B. Goldberg

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 25
2
Quantifying Consistency in Loudspeaker System Production
0
3
Transduction with Matrix Completion: Three Birds with One Stone
132
4
Introduction to Semi-Supervised Learningbreakdown →
1152
5
Windowed Sine Bursts: In Search of Optimal Test Signals for Detecting the Threshold of Audibility of Temporal Decays
1
6 16
7 14
8
Learning Bigrams from Unigrams
5
9
Kernel regression with order preferences
22
10
A text-to-picture synthesis system for augmenting communication
60
11
Dissimilarity in Graph-Based Semi-Supervised Classification
67
12
Improving Diversity in Ranking using Absorbing Random Walks
147
13
Measuring the Threshold of Audibility of Temporal Decays
2
14
Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006.
15
15
Semi-supervised Regression with Order Preferences
9
16
Performance Comparison of Graphic Equalisation and Active Loudspeaker Room Response Controls
1
17
Automated In-Situ Frequency Response Optimisation of Active Loudspeakers
2
18
Internet & world wide web: how to program , fourth edition
6
19
Statistical Analysis of an Automated In-Situ Frequency Response Optimisation Algorithm for Active Loudspeakers
1
20 17

About Andrew B. Goldberg

Andrew B. Goldberg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 35 papers that have together received 3.0k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Machine Learning and Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computer Vision and Pattern Recognition (871 citations) and Signal Processing (241 citations). Andrew B. Goldberg has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Xiaojin Zhu, David Andrzejewski, Jurgen Van Gael, Arthur M. Glenberg, Junming Xu, Robert D. Nowak, Ben Recht, K. Guggenheim, Stephen J. Wright and Bryan R. Gibson. Their work appears in journals such as The Journal of the Acoustical Society of America, Instructional Science and Scientific Studies of Reading.

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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