Ergin Elmacioglu
Impact in
-
- Data Quality and Management
-
- Complex Network Analysis Techniques
Papers in
-
- Web Data Mining and Analysis 6
- Data Mining Algorithms and Applications 1
-
- Topic Modeling 4
- Advanced Text Analysis Techniques 1
- Semantic Web and Ontologies 1
- Co-authors
- Dongwon Lee (10 shared papers)Min‐Yen Kan (3 shared papers)Byung-Won On (2 shared papers)Jaewoo Kang (2 shared papers)Jian Pei (2 shared papers)Yee Fan Tan (2 shared papers)Yan Su (1 shared paper)Ziming Zhuang (1 shared paper)
- Journals
- Communications of the ACM (1 paper)World Wide Web (1 paper)ACM SIGMOD Record (1 paper)Scientometrics (1 paper)National University of Singapore (1 paper)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Ergin Elmacioglu
10 papers receiving 302 citations
Peers
Comparison fields: 5 of 41
- Management Science and Operations Research 120
- Statistical and Nonlinear Physics 93
- Information Systems 147
- Statistics, Probability and Uncertainty 36
- Artificial Intelligence 161
Countries citing papers authored by Ergin Elmacioglu
This map shows the geographic impact of Ergin Elmacioglu'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 Ergin Elmacioglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ergin Elmacioglu more than expected).
Fields of papers citing papers by Ergin Elmacioglu
This network shows the impact of papers produced by Ergin Elmacioglu. 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 Ergin Elmacioglu. The network helps show where Ergin Elmacioglu may publish in the future.
Co-authors
The 12 scholars most cited alongside Ergin Elmacioglu, 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 | 2005 | 115 | |
| 2 | 2007 | 49 | |
| 3 | 2009 | 41 | |
| 4 | 2006 | 39 | |
| 5 | 2007 | 37 | |
| 6 | 2006 | 19 | |
| 7 | 2007 | 14 | |
| 8 | 2009 | 8 | |
| 9 | 2009 | 6 | |
| 10 | Efficient Web-Based Linkage of Short to Long Forms | 2008 | 4 |
About Ergin Elmacioglu
Ergin Elmacioglu is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 10 papers that have together received 332 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (6 papers), Data Quality and Management (5 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (4 papers), Advanced Text Analysis Techniques (1 paper), Data Mining Algorithms and Applications (1 paper), Bioinformatics and Genomic Networks (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Management Science and Operations Research (120 citations), Statistical and Nonlinear Physics (93 citations), Information Systems (147 citations), Statistics, Probability and Uncertainty (36 citations) and Artificial Intelligence (161 citations). Ergin Elmacioglu has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Dongwon Lee, Min‐Yen Kan, Byung-Won On, Jaewoo Kang, Jian Pei, Yee Fan Tan, Yan Su, Ziming Zhuang, C. Lee Giles and Wonhong Nam. Their work appears in journals such as Communications of the ACM, World Wide Web, ACM SIGMOD Record, Scientometrics and National University of Singapore.
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.