Alejandro Correa Bahnsen
- Accounting top 5%
- Financial Distress and Bankruptcy Prediction 5
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques 6
- Machine Learning and Data Classification 1
- Neural Networks and Applications 1
- Information Systems top 2%
- Data Mining Algorithms and Applications 4
- Spam and Phishing Detection 3
- Cybercrime and Law Enforcement Studies 1
- Signal Processing top 5%
- Advanced Malware Detection Techniques 2
- Media Technology top 5%
- Journals
- Expert Systems with Applications (2 papers)Open Repository and Bibliography (University of Luxembourg) (3 papers)Econstor (Econstor) (1 paper)
- Partner nations
- LuxembourgColombia
In The Last Decade
Alejandro Correa Bahnsen
13 papers receiving 824 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Accounting 300
- Artificial Intelligence 705
- Information Systems 305
- Signal Processing 119
- Media Technology 88
Countries citing papers authored by Alejandro Correa Bahnsen
This map shows the geographic impact of Alejandro Correa Bahnsen'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 Alejandro Correa Bahnsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Correa Bahnsen more than expected).
Fields of papers citing papers by Alejandro Correa Bahnsen
This network shows the impact of papers produced by Alejandro Correa Bahnsen. 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 Alejandro Correa Bahnsen. The network helps show where Alejandro Correa Bahnsen may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Alejandro Correa Bahnsen, 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 | 2018 | 39 | |
| 2 | 2017 | 134 | |
| 3 | Feature engineering strategies for credit card fraud detectionbreakdown → | 2016 | 245 |
| 4 | 2016 | 11 | |
| 5 | 2015 | 19 | |
| 6 | 2015 | 37 | |
| 7 | 2015 | 2 | |
| 8 | 2015 | 153 | |
| 9 | Example-Dependent Cost-Sensitive Classification with Applications in Financial Risk Modeling and Marketing Analytics | 2015 | 2 |
| 10 | 2014 | 42 | |
| 11 | 2014 | 80 | |
| 12 | 2013 | 112 | |
| 13 | 2011 | 16 |
About Alejandro Correa Bahnsen
Alejandro Correa Bahnsen is a scholar working on Accounting, Information Systems and Artificial Intelligence, having authored 13 papers that have together received 892 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (6 papers), Financial Distress and Bankruptcy Prediction (5 papers), Data Mining Algorithms and Applications (4 papers), Spam and Phishing Detection (3 papers), Advanced Malware Detection Techniques (2 papers), Cybercrime and Law Enforcement Studies (1 paper), Machine Learning and Data Classification (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Accounting (300 citations), Artificial Intelligence (705 citations) and Information Systems (305 citations). Alejandro Correa Bahnsen has collaborated with scholars based in Luxembourg and Colombia. Frequent co-authors include Björn Ottersten, Djamila Aouada, Aleksandar Stojanović, Javier Vargas and Fabio A. González. Their work appears in journals such as Expert Systems with Applications, Open Repository and Bibliography (University of Luxembourg) and Econstor (Econstor).
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.