Claudia Perlich

48 papers receiving 1.4k citations

Claudia Perlich's Hit Papers

Leakage in data mining 2012 · 326 citations
3260+4+9Years since publication100200300

Peers

Claudia Perlich
Comparison fields: 5 of 155
  • Marketing 242
  • Health Informatics 27
  • Management Science and Operations Research 230
  • Artificial Intelligence 581
  • Computational Mathematics 9
Replace Huimin Zhao with:
Huimin Zhao United States
Alfredo Vellido Spain
Jaewook Lee South Korea
Naoki Abe Japan
Pilsung Kang South Korea
Kunpeng Zhang China
Mathias Kraus Germany
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József Mezei Finland
Xiaobing Liu China
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Citations per year

Countries citing papers authored by Claudia Perlich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Claudia Perlich Line = papers co-authored together Claudia Perlich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Leakage in data mining
Hit paper breakdown →
2012326
2
Tree Induction Vs. Logistic Regression: a Learning-Curve Analysis
2001114
3 2013105
4 201293
5 200791
6 201175
7 201265
8 200963
9 200361
10 200657
11
Winning the KDD Cup Orange Challenge with ensemble selection
200939
12 200935
13 200632
14 200730
15 201329
16 201427
17
Evaluating and Optimizing Online Advertising: Forget the click, but\nthere are good proxies
201220
18 201220
19 201120
20
Discovering Knowledge from Relational Data Extracted from Business News
200219

About Claudia Perlich

Claudia Perlich is a scholar working on Artificial Intelligence, Information Systems, Marketing, Management Science and Operations Research and Computer Networks and Communications, 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), Rough Sets and Fuzzy Logic (4 papers), Gene expression and cancer classification (4 papers), Auction Theory and Applications (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Marketing (242 citations), Health Informatics (27 citations), Management Science and Operations Research (230 citations), Artificial Intelligence (581 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, ACM Transactions on Knowledge Discovery from Data, IEEE Intelligent Systems and Knowledge and Information 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.

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