Emmanuel Pintelas
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Health Informatics top 10%
Papers in
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- Advanced Neural Network Applications 5
- Multimodal Machine Learning Applications 2
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- Explainable Artificial Intelligence (XAI) 5
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Panagiotis Pintelas (23 shared papers)Ioannis E. Livieris (24 shared papers)Stavros Stavroyiannis (5 shared papers)Sotiris Kotsiantis (3 shared papers)Theodore Kotsilieris (5 shared papers)Ioannis D. Apostolopoulos (1 shared paper)D. Apostolopoulos (1 shared paper)Νικόλαος Παπαθανασίου (1 shared paper)
- Journals
- Neural Computing and Applications (4 papers)Electronics (3 papers)Evolving Systems (2 papers)Computer Vision and Image Understanding (2 papers)Knowledge-Based Systems (1 paper)
- Partner nations
- Greece
In The Last Decade
Emmanuel Pintelas
23 papers receiving 1.1k citations
Emmanuel Pintelas's Hit Papers
Peers
Comparison fields: 5 of 125
- Management Science and Operations Research 354
- Health Informatics 19
- Signal Processing 150
- Artificial Intelligence 313
- Economics and Econometrics 196
Countries citing papers authored by Emmanuel Pintelas
This map shows the geographic impact of Emmanuel Pintelas'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 Emmanuel Pintelas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Pintelas more than expected).
Fields of papers citing papers by Emmanuel Pintelas
This network shows the impact of papers produced by Emmanuel Pintelas. 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 Emmanuel Pintelas. The network helps show where Emmanuel Pintelas may publish in the future.
Co-authors
The 9 scholars most cited alongside Emmanuel Pintelas, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A CNN–LSTM model for gold price time-series forecasting Hit paper breakdown → | 2020 | 547 |
| 2 | 2020 | 96 | |
| 3 | 2020 | 95 | |
| 4 | 2020 | 52 | |
| 5 | 2020 | 51 | |
| 6 | 2019 | 35 | |
| 7 | 2018 | 29 | |
| 8 | 2021 | 27 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 23 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 17 | |
| 14 | 2023 | 14 | |
| 15 | Fundamental research questions and proposals on predicting cryptocurrency prices using DNNs | 2020 | 9 |
| 16 | 2019 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2020 | 4 |
About Emmanuel Pintelas
Emmanuel Pintelas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics and Oncology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (5 papers), Advanced Neural Network Applications (5 papers), Stock Market Forecasting Methods (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), COVID-19 diagnosis using AI (2 papers), Mental Health via Writing (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (354 citations), Health Informatics (19 citations), Signal Processing (150 citations), Artificial Intelligence (313 citations) and Economics and Econometrics (196 citations). Emmanuel Pintelas has collaborated with scholars based in Greece. Frequent co-authors include Panagiotis Pintelas, Ioannis E. Livieris, Stavros Stavroyiannis, Sotiris Kotsiantis, Theodore Kotsilieris, Ioannis D. Apostolopoulos, D. Apostolopoulos, Νικόλαος Παπαθανασίου and George Panayiotakis. Their work appears in journals such as Neural Computing and Applications, Electronics, Evolving Systems, Computer Vision and Image Understanding and Knowledge-Based Systems.
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.