Emmanuel Pintelas
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Economics and Econometrics top 5%
- Signal Processing top 5%
- Co-authors
- Panagiotis PintelasIoannis E. LivierisStavros StavroyiannisSotiris KotsiantisTheodore KotsilierisΝικόλαος ΠαπαθανασίουIoannis D. ApostolopoulosGeorge Panayiotakis
- Topics
- Explainable Artificial Intelligence (XAI) (5 papers)Advanced Neural Network Applications (5 papers)Stock Market Forecasting Methods (4 papers)
- Partner nations
- Greece
In The Last Decade
Emmanuel Pintelas
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Management Science and Operations Research 354
- Artificial Intelligence 313
- Electrical and Electronic Engineering 198
- Economics and Econometrics 196
- Signal Processing 150
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-authorship network of co-authors of Emmanuel Pintelas
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Pintelas. A scholar is included among the top collaborators of Emmanuel Pintelas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emmanuel Pintelas. Emmanuel Pintelas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 26 | |
| 11 | 27 | |
| 12 | 25 | |
| 13 | 4 | |
| 14 | A CNN–LSTM model for gold price time-series forecastingbreakdown → | 547 |
| 15 | 95 | |
| 16 | Fundamental research questions and proposals on predicting cryptocurrency prices using DNNs | 9 |
| 17 | 51 | |
| 18 | 35 | |
| 19 | 7 | |
| 20 | 29 |
About Emmanuel Pintelas
Emmanuel Pintelas is a scholar working on Computer Vision and Pattern Recognition, Applied Psychology and Management Science and Operations Research, 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) and Stock Market Forecasting Methods (4 papers). The work is most often cited by research in Management Science and Operations Research (354 citations), Health Informatics (19 citations) and Signal Processing (150 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, Νικόλαος Παπαθανασίου, Ioannis D. Apostolopoulos, George Panayiotakis and D. Apostolopoulos. Their work appears in journals such as Sensors, Knowledge-Based Systems and Neural Computing and Applications.
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.