Ori Stitelman

968 citations
9 papers · 615 indexed · 1 hit paper · h-index 7
Topics
Data Stream Mining Techniques (3 papers)Machine Learning and Data Classification (3 papers)Consumer Market Behavior and Pricing (3 papers)
Journals
Machine LearningACM Transactions on Knowledge Discovery from DataThe Faculty Digital Archive (New York University)

In The Last Decade

Ori Stitelman

8 papers receiving 566 citations

Hit Papers

Leakage in data mining20122026201620212012100200300

Peers

Ori Stitelman
Comparison fields: 5 of 128
  • Artificial Intelligence 192
  • Marketing 169
  • Management Science and Operations Research 126
  • Information Systems 99
  • Sociology and Political Science 65
Replace Qiang Wei with:
Qiang Wei China
Harikrishna Narasimhan United States
Hoda Mashayekhi Iran
M. Victoria Luzón Spain
Carla Vairetti Chile
Xingsen Li China
Murat Şensoy United Kingdom
M. Omair Shafiq Canada
Şule Gündüz Öğüdücü Türkiye
Ori Stitelman relative to Qiang Wei China Qiang Wei's profile →
Citations per field
00.5×1.6×
Qiang Wei · 1×
Citations per year

Countries citing papers authored by Ori Stitelman

Since Specialization
Citations

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

Fields of papers citing papers by Ori Stitelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ori Stitelman

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2
Machine Learning for Targeted Display Advertising: Transfer Learning in Action
8
3 104
4 4
5 19
6 20
7 92
8
Leakage in data miningbreakdown →
303
9 64

About Ori Stitelman

Ori Stitelman is a scholar working on Computer Science Applications, Marketing and Artificial Intelligence, having authored 9 papers that have together received 615 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (3 papers), Machine Learning and Data Classification (3 papers) and Consumer Market Behavior and Pricing (3 papers). The work is most often cited by research in Marketing (169 citations), Health Informatics (21 citations) and Management Science and Operations Research (126 citations). Ori Stitelman has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Claudia Perlich, Shachar Kaufman, Saharon Rosset, Foster Provost, B D'Alessandro and Troy Raeder. Their work appears in journals such as Machine Learning, ACM Transactions on Knowledge Discovery from Data and The Faculty Digital Archive (New York University).

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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