Erol Eğrioğlu
Impact in
-
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Signal Processing top 1%
- Time Series Analysis and Forecasting
Papers in
-
- Stock Market Forecasting Methods 109
- Forecasting Techniques and Applications 34
-
- Neural Networks and Applications 65
- Fuzzy Logic and Control Systems 27
- Co-authors
- Ufuk Yolcu (65 shared papers)Çağdaş Hakan Aladağ (52 shared papers)Eren Baş (70 shared papers)Vedide Rezan Uslu (18 shared papers)Murat Alper Başaran (8 shared papers)Cem Kadılar (4 shared papers)Özge Cağcağ Yolcu (9 shared papers)Mu‐Yen Chen (7 shared papers)
- Journals
- Granular Computing (18 papers)Expert Systems with Applications (10 papers)Computational Economics (6 papers)Neural Computing and Applications (5 papers)Information Sciences (5 papers)
- Partner nations
- TürkiyeUnited KingdomTaiwan
In The Last Decade
Erol Eğrioğlu
136 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 145
- Management Science and Operations Research 2.3k
- Signal Processing 734
- Artificial Intelligence 1.3k
- Economics and Econometrics 892
- Statistics and Probability 284
Countries citing papers authored by Erol Eğrioğlu
This map shows the geographic impact of Erol Eğrioğlu'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 Erol Eğrioğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erol Eğrioğlu more than expected).
Fields of papers citing papers by Erol Eğrioğlu
This network shows the impact of papers produced by Erol Eğrioğlu. 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 Erol Eğrioğlu. The network helps show where Erol Eğrioğlu may publish in the future.
Co-authors
The 25 scholars most cited alongside Erol Eğrioğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 159 | |
| 2 | 2012 | 137 | |
| 3 | 2009 | 127 | |
| 4 | 2008 | 124 | |
| 5 | 2012 | 115 | |
| 6 | 2009 | 112 | |
| 7 | 2012 | 106 | |
| 8 | 2009 | 100 | |
| 9 | 2008 | 85 | |
| 10 | 2010 | 85 | |
| 11 | 2011 | 82 | |
| 12 | 2011 | 79 | |
| 13 | 2007 | 69 | |
| 14 | 2021 | 68 | |
| 15 | 2016 | 65 | |
| 16 | 2018 | 63 | |
| 17 | 2014 | 60 | |
| 18 | 2014 | 58 | |
| 19 | 2014 | 55 | |
| 20 | 2018 | 54 |
About Erol Eğrioğlu
Erol Eğrioğlu is a scholar working on Management Science and Operations Research, Artificial Intelligence, Signal Processing, Statistics and Probability and Economics and Econometrics, having authored 147 papers that have together received 3.6k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (109 papers), Neural Networks and Applications (65 papers), Energy Load and Power Forecasting (43 papers), Forecasting Techniques and Applications (34 papers), Fuzzy Logic and Control Systems (27 papers), Complex Systems and Time Series Analysis (24 papers), Time Series Analysis and Forecasting (23 papers) and Fuzzy Systems and Optimization (14 papers). The work is most often cited by research in Management Science and Operations Research (2.3k citations), Signal Processing (734 citations), Artificial Intelligence (1.3k citations), Economics and Econometrics (892 citations) and Statistics and Probability (284 citations). Erol Eğrioğlu has collaborated with scholars based in Türkiye, United Kingdom and Taiwan. Frequent co-authors include Ufuk Yolcu, Çağdaş Hakan Aladağ, Eren Baş, Vedide Rezan Uslu, Murat Alper Başaran, Cem Kadılar, Özge Cağcağ Yolcu, Mu‐Yen Chen, Crina Groşan and Barış Aşikgil. Their work appears in journals such as Granular Computing, Expert Systems with Applications, Computational Economics, Neural Computing and Applications and Information Sciences.
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.