Carmela Iorio
Impact in
-
- Stock Market Forecasting Methods
- Multi-Criteria Decision Making
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
-
- Multi-Criteria Decision Making 3
- Stock Market Forecasting Methods 3
-
- Anomaly Detection Techniques and Applications 2
- Neural Networks and Applications 2
- Machine Learning and Data Classification 2
- Co-authors
- Antonio D’Ambrosio (11 shared papers)Roberta Siciliano (12 shared papers)Gianluca Frasso (2 shared papers)Massimo Aria (7 shared papers)Enrico Melillo (1 shared paper)Francesco Stefanelli (1 shared paper)Alberto De Felice (1 shared paper)Michele Davide Mignogna (1 shared paper)
- Journals
- Expert Systems with Applications (5 papers)Applied Stochastic Models in Business and Industry (1 paper)Statistical Papers (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- ItalyBelgiumNetherlands
In The Last Decade
Carmela Iorio
19 papers receiving 348 citations
Peers
Comparison fields: 5 of 93
- Management Science and Operations Research 87
- Signal Processing 44
- Emergency Medical Services 23
- Finance 37
- Tourism, Leisure and Hospitality Management 5
Countries citing papers authored by Carmela Iorio
This map shows the geographic impact of Carmela Iorio'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 Carmela Iorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmela Iorio more than expected).
Fields of papers citing papers by Carmela Iorio
This network shows the impact of papers produced by Carmela Iorio. 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 Carmela Iorio. The network helps show where Carmela Iorio may publish in the future.
Co-authors
The 22 scholars most cited alongside Carmela Iorio, 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 | 1999 | 96 | |
| 2 | 2017 | 41 | |
| 3 | 2017 | 30 | |
| 4 | 2016 | 25 | |
| 5 | 2019 | 20 | |
| 6 | 2020 | 16 | |
| 7 | 2016 | 16 | |
| 8 | 2019 | 16 | |
| 9 | 2015 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2018 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2001 | 3 | |
| 20 | LOTECH: An Interactive Problem Solver for Location. | 1992 | 0 |
About Carmela Iorio
Carmela Iorio is a scholar working on Management Science and Operations Research, Artificial Intelligence, Signal Processing, Economics and Econometrics and Statistics and Probability, having authored 20 papers that have together received 355 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Multi-Criteria Decision Making (3 papers), Stock Market Forecasting Methods (3 papers), Complex Systems and Time Series Analysis (3 papers), Advanced Statistical Methods and Models (3 papers), Anomaly Detection Techniques and Applications (2 papers), Neural Networks and Applications (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Management Science and Operations Research (87 citations), Signal Processing (44 citations), Emergency Medical Services (23 citations), Finance (37 citations) and Tourism, Leisure and Hospitality Management (5 citations). Carmela Iorio has collaborated with scholars based in Italy, Belgium and Netherlands. Frequent co-authors include Antonio D’Ambrosio, Roberta Siciliano, Gianluca Frasso, Massimo Aria, Enrico Melillo, Francesco Stefanelli, Alberto De Felice, Michele Davide Mignogna, Giulio Fortuna and Gary D. Klasser. Their work appears in journals such as Expert Systems with Applications, Applied Stochastic Models in Business and Industry, Statistical Papers, American Journal of Respiratory and Critical Care Medicine 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.