Suleyman Cetintas
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- Online Learning and Analytics 3
- Marketing top 10%
- Consumer Market Behavior and Pricing 4
- Information Systems top 5%
- Information Retrieval and Search Behavior 4
- Web Data Mining and Analysis 3
- Recommender Systems and Techniques 3
- Artificial Intelligence top 10%
- Intelligent Tutoring Systems and Adaptive Learning 4
- Text and Document Classification Technologies 3
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- Image Retrieval and Classification Techniques 3
- Co-authors
- Luo SiDonghyuk ShinKuang-Chih LeeAndrew B. WhinstonGene Moo LeeShu HeYan Ping XinCasey Hord
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Suleyman Cetintas
22 papers receiving 390 citations
Peers
Comparison fields: 5 of 69
- Computer Science Applications 71
- Marketing 89
- Information Systems 120
- Computational Mathematics 3
- Artificial Intelligence 160
Countries citing papers authored by Suleyman Cetintas
This map shows the geographic impact of Suleyman Cetintas'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 Suleyman Cetintas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suleyman Cetintas more than expected).
Fields of papers citing papers by Suleyman Cetintas
This network shows the impact of papers produced by Suleyman Cetintas. 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 Suleyman Cetintas. The network helps show where Suleyman Cetintas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suleyman Cetintas, 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 | 2020 | 140 | |
| 2 | 2020 | 5 | |
| 3 | 2016 | 7 | |
| 4 | 2015 | 23 | |
| 5 | 2014 | 21 | |
| 6 | Recommending tumblr blogs to follow with inductive matrix completion | 2014 | 7 |
| 7 | 2012 | 0 | |
| 8 | 2011 | 9 | |
| 9 | 2011 | 14 | |
| 10 | 2011 | 4 | |
| 11 | 2011 | 17 | |
| 12 | Strategies for Effective Chemical Information Retrieval | 2009 | 4 |
| 13 | Automatic Text Categorization of Mathematical Word Problems | 2009 | 5 |
| 14 | Predicting Correctness of Problem Solving from Low-Level Log Data in Intelligent Tutoring Systems | 2009 | 12 |
| 15 | 2009 | 14 | |
| 16 | 2009 | 59 | |
| 17 | GENERALIZATIONS WITH PROBABILITY DISTRIBUTIONS FOR DATA ANONYMIZATION | 2008 | 2 |
| 18 | 2007 | 5 | |
| 19 | 2007 | 10 | |
| 20 | 2007 | 8 |
About Suleyman Cetintas
Suleyman Cetintas is a scholar working on Computer Science Applications, Information Systems and Marketing, having authored 23 papers that have together received 419 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (4 papers), Information Retrieval and Search Behavior (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Online Learning and Analytics (3 papers), Web Data Mining and Analysis (3 papers), Recommender Systems and Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Computer Science Applications (71 citations), Marketing (89 citations) and Information Systems (120 citations). Suleyman Cetintas has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Luo Si, Donghyuk Shin, Kuang-Chih Lee, Andrew B. Whinston, Gene Moo Lee, Shu He, Yan Ping Xin, Casey Hord, John G. Turner and Jian Yang. Their work appears in journals such as MIS Quarterly, Operations Research and Information Retrieval.
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.