Eren Baş
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
-
- Stock Market Forecasting Methods 64
- Forecasting Techniques and Applications 20
-
- Neural Networks and Applications 43
- Fuzzy Logic and Control Systems 19
- Co-authors
- Erol Eğrioğlu (70 shared papers)Ufuk Yolcu (30 shared papers)Çağdaş Hakan Aladağ (7 shared papers)Vedide Rezan Uslu (7 shared papers)Özge Cağcağ Yolcu (7 shared papers)Crina Groşan (3 shared papers)Mu‐Yen Chen (5 shared papers)Oğuzhan Yılmaz (1 shared paper)
- Journals
- Granular Computing (18 papers)Information Sciences (6 papers)Computational Economics (4 papers)Engineering Applications of Artificial Intelligence (4 papers)Soft Computing (3 papers)
- Partner nations
- TürkiyeUnited KingdomTaiwan
In The Last Decade
Eren Baş
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Management Science and Operations Research 726
- Artificial Intelligence 579
- Statistics and Probability 146
- Signal Processing 166
- Economics and Econometrics 185
Countries citing papers authored by Eren Baş
This map shows the geographic impact of Eren Baş'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 Eren Baş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eren Baş more than expected).
Fields of papers citing papers by Eren Baş
This network shows the impact of papers produced by Eren Baş. 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 Eren Baş. The network helps show where Eren Baş may publish in the future.
Co-authors
The 15 scholars most cited alongside Eren Baş, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 62 | |
| 2 | 2018 | 58 | |
| 3 | 2014 | 58 | |
| 4 | 2014 | 56 | |
| 5 | 2014 | 48 | |
| 6 | 2018 | 48 | |
| 7 | 2015 | 46 | |
| 8 | 2016 | 44 | |
| 9 | 2020 | 43 | |
| 10 | 2017 | 37 | |
| 11 | 2013 | 37 | |
| 12 | 2023 | 34 | |
| 13 | 2022 | 34 | |
| 14 | 2016 | 30 | |
| 15 | 2018 | 29 | |
| 16 | 2014 | 28 | |
| 17 | 2021 | 26 | |
| 18 | 2021 | 25 | |
| 19 | 2020 | 25 | |
| 20 | 2019 | 25 |
About Eren Baş
Eren Baş is a scholar working on Management Science and Operations Research, Artificial Intelligence, Electrical and Electronic Engineering, Economics and Econometrics and Statistics and Probability, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (64 papers), Neural Networks and Applications (43 papers), Energy Load and Power Forecasting (28 papers), Forecasting Techniques and Applications (20 papers), Fuzzy Logic and Control Systems (19 papers), Complex Systems and Time Series Analysis (11 papers), Fuzzy Systems and Optimization (11 papers) and Hydrological Forecasting Using AI (5 papers). The work is most often cited by research in Management Science and Operations Research (726 citations), Artificial Intelligence (579 citations), Statistics and Probability (146 citations), Signal Processing (166 citations) and Economics and Econometrics (185 citations). Eren Baş has collaborated with scholars based in Türkiye, United Kingdom and Taiwan. Frequent co-authors include Erol Eğrioğlu, Ufuk Yolcu, Çağdaş Hakan Aladağ, Vedide Rezan Uslu, Özge Cağcağ Yolcu, Crina Groşan, Mu‐Yen Chen, Oğuzhan Yılmaz, Robert Fildes and Esra Akdenız. Their work appears in journals such as Granular Computing, Information Sciences, Computational Economics, Engineering Applications of Artificial Intelligence and Soft Computing.
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.