Josh Attenberg
- Artificial Intelligence top 2%
- Machine Learning and Algorithms 6
- Machine Learning and Data Classification 6
- Imbalanced Data Classification Techniques 3
- Signal Processing top 5%
- Data Management and Algorithms 4
- Information Systems top 2%
- Web Data Mining and Analysis 5
- Spam and Phishing Detection 3
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- Image Retrieval and Classification Techniques 4
- Advanced Image and Video Retrieval Techniques 3
- Co-authors
- Kilian Q. WeinbergerAnirban DasguptaJohn LangfordAlex SmolaFoster ProvostTorsten SuelAlexander MarkowetzQingqing Gan
- Journals
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)ACM SIGKDD Explorations Newsletter (1 paper)
- Partner nations
- United StatesHong Kong
In The Last Decade
Josh Attenberg
19 papers receiving 793 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 536
- Signal Processing 153
- Information Systems 274
- Computer Vision and Pattern Recognition 228
- Computational Mathematics 6
Countries citing papers authored by Josh Attenberg
This map shows the geographic impact of Josh Attenberg'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 Josh Attenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josh Attenberg more than expected).
Fields of papers citing papers by Josh Attenberg
This network shows the impact of papers produced by Josh Attenberg. 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 Josh Attenberg. The network helps show where Josh Attenberg may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Josh Attenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 22 | |
| 2 | 2015 | 2 | |
| 3 | 2014 | 25 | |
| 4 | 2014 | 1 | |
| 5 | 2011 | 15 | |
| 6 | 2011 | 15 | |
| 7 | 2011 | 1 | |
| 8 | Beat the machine: challenging workers to find the unknown unknowns | 2011 | 37 |
| 9 | 2011 | 48 | |
| 10 | Guided Feature Labeling for Budget-Sensitive Learning Under Extreme Class Imbalance | 2010 | 3 |
| 11 | 2010 | 48 | |
| 12 | 2010 | 30 | |
| 13 | Active Inference and Learning for Classifying Streams | 2010 | 2 |
| 14 | 2009 | 38 | |
| 15 | COLLABORATIVE SPAM FILTERING WITH THE HASHING TRICK | 2009 | 0 |
| 16 | Toward optimal allocation of human resources for active learning withapplication to safe advertising | 2009 | 1 |
| 17 | Feature hashing for large scale multitask learningbreakdown → | 2009 | 505 |
| 18 | Analysis of geographic queries in a search engine log | 2008 | 2 |
| 19 | 2008 | 59 | |
| 20 | 2008 | 11 |
About Josh Attenberg
Josh Attenberg is a scholar working on Information Systems, Signal Processing, Geography, Planning and Development, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 865 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (6 papers), Machine Learning and Data Classification (6 papers), Web Data Mining and Analysis (5 papers), Image Retrieval and Classification Techniques (4 papers), Data Management and Algorithms (4 papers), Spam and Phishing Detection (3 papers), Imbalanced Data Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (536 citations), Signal Processing (153 citations), Information Systems (274 citations), Computer Vision and Pattern Recognition (228 citations) and Computational Mathematics (6 citations). Josh Attenberg has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alex Smola, Foster Provost, Torsten Suel, Alexander Markowetz, Qingqing Gan, Shuai Ding and Sandeep Pandey. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology) and ACM SIGKDD Explorations Newsletter.
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.