Claudia Perlich
Impact in
- Marketing top 5%
- Consumer Market Behavior and Pricing
- Health Informatics top 5%
Papers in
- Marketing 13
- Consumer Market Behavior and Pricing 11
-
- Imbalanced Data Classification Techniques 7
- Bayesian Modeling and Causal Inference 5
- Co-authors
- Foster ProvostSaharon RossetOri StitelmanShachar KaufmanB D'AlessandroTroy RaederJeffrey S. SimonoffBianca Zadrozny
- Journals
- Big Data (3 papers)Machine Learning (2 papers)INFORMS Journal on Applied Analytics (1 paper)Data Mining and Knowledge Discovery (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Claudia Perlich
48 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Marketing 239
- Health Informatics 28
- Management Science and Operations Research 232
- Artificial Intelligence 587
- Computational Mathematics 9
Countries citing papers authored by Claudia Perlich
This map shows the geographic impact of Claudia Perlich'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 Claudia Perlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Perlich more than expected).
Fields of papers citing papers by Claudia Perlich
This network shows the impact of papers produced by Claudia Perlich. 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 Claudia Perlich. The network helps show where Claudia Perlich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudia Perlich, 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 | 2023 | 3 | |
| 2 | 2015 | 6 | |
| 3 | 2014 | 1 | |
| 4 | 2014 | 11 | |
| 5 | 2014 | 27 | |
| 6 | Machine Learning for Targeted Display Advertising: Transfer Learning in Action | 2013 | 8 |
| 7 | Evaluating and Optimizing Online Advertising: Forget the click, but\nthere are good proxies | 2012 | 20 |
| 8 | 2012 | 20 | |
| 9 | On data-driven analysis of user-generated content | 2010 | 1 |
| 10 | Winning the KDD Cup Orange Challenge with ensemble selection | 2009 | 39 |
| 11 | 2009 | 62 | |
| 12 | Approaching the ILP 2005 Challenge: Class-Conditional Bayesian Propositionalization for Genetic Classification | 2008 | 0 |
| 13 | 2007 | 30 | |
| 14 | 2007 | 18 | |
| 15 | 2006 | 9 | |
| 16 | ACORA: Distribution-Based Aggregation for Relational Learning from Identifier Attributes | 2005 | 16 |
| 17 | Multi-Relational Learning for Genetic Data: Issues and Challenges | 2005 | 1 |
| 18 | 2003 | 4 | |
| 19 | Discovering Knowledge from Relational Data Extracted from Business News | 2002 | 19 |
| 20 | Tree Induction Vs. Logistic Regression: a Learning-Curve Analysis | 2001 | 114 |
About Claudia Perlich
Claudia Perlich is a scholar working on Marketing, Artificial Intelligence, Management Science and Operations Research, Computer Science Applications and Statistics and Probability, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Consumer Market Behavior and Pricing (11 papers), Imbalanced Data Classification Techniques (7 papers), Bayesian Modeling and Causal Inference (5 papers), Network Security and Intrusion Detection (4 papers), Auction Theory and Applications (4 papers), Rough Sets and Fuzzy Logic (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Marketing (239 citations), Health Informatics (28 citations), Management Science and Operations Research (232 citations), Artificial Intelligence (587 citations) and Computational Mathematics (9 citations). Claudia Perlich has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Foster Provost, Saharon Rosset, Ori Stitelman, Shachar Kaufman, B D'Alessandro, Troy Raeder, Jeffrey S. Simonoff, Bianca Zadrozny, Prem Melville and Alexandru Niculescu-Mizil. Their work appears in journals such as Big Data, Machine Learning, INFORMS Journal on Applied Analytics, Data Mining and Knowledge Discovery and IEEE Intelligent Systems.
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.