Barbro Back
Impact in
- Accounting top 2%
- Financial Distress and Bankruptcy Prediction
- Auditing, Earnings Management, Governance
-
- Stock Market Forecasting Methods
Papers in
-
- Neural Networks and Applications 9
- Advanced Text Analysis Techniques 7
- Natural Language Processing Techniques 5
-
- Data Mining Algorithms and Applications 7
- Co-authors
- Hannu Vanharanta (20 shared papers)Kaisa Sere (5 shared papers)Tomas Eklund (22 shared papers)Ari Visa (16 shared papers)Teija Laitinen (3 shared papers)Michiel van Wezel (1 shared paper)Jonas Karlsson (3 shared papers)Antti Arppe (1 shared paper)
In The Last Decade
Barbro Back
47 papers receiving 796 citations
Peers
Comparison fields: 5 of 97
- Accounting 359
- Management Science and Operations Research 255
- Finance 135
- Artificial Intelligence 388
- Management Information Systems 100
Countries citing papers authored by Barbro Back
This map shows the geographic impact of Barbro Back'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 Barbro Back with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbro Back more than expected).
Fields of papers citing papers by Barbro Back
This network shows the impact of papers produced by Barbro Back. 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 Barbro Back. The network helps show where Barbro Back may publish in the future.
Co-authors
The 19 scholars most cited alongside Barbro Back, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 162 | |
| 2 | 2004 | 116 | |
| 3 | Choosing Bankruptcy Predictors Using Discriminant Analysis, Logit Analysis, and Genetic Algorithms | 1996 | 96 |
| 4 | 1998 | 58 | |
| 5 | 2001 | 56 | |
| 6 | 2003 | 55 | |
| 7 | 2004 | 47 | |
| 8 | ASSESSING THE FEASIBILITY OF SELF-ORGANIZING MAPS FOR DATA MINING FINANCIAL INFORMATION | 2002 | 24 |
| 9 | 2011 | 22 | |
| 10 | 2013 | 18 | |
| 11 | 2010 | 16 | |
| 12 | 2007 | 15 | |
| 13 | 1993 | 15 | |
| 14 | 2007 | 14 | |
| 15 | 2004 | 14 | |
| 16 | 2002 | 13 | |
| 17 | 2008 | 12 | |
| 18 | 2007 | 11 | |
| 19 | 2010 | 11 | |
| 20 | The Effect of Sample Size on Different Failure Prediction Methods | 1998 | 11 |
About Barbro Back
Barbro Back is a scholar working on Artificial Intelligence, Information Systems, Marketing, Management Science and Operations Research and Accounting, having authored 50 papers that have together received 909 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Stock Market Forecasting Methods (8 papers), Data Mining Algorithms and Applications (7 papers), Advanced Text Analysis Techniques (7 papers), Data Visualization and Analytics (5 papers), Natural Language Processing Techniques (5 papers), Financial Distress and Bankruptcy Prediction (5 papers) and Customer churn and segmentation (5 papers). The work is most often cited by research in Accounting (359 citations), Management Science and Operations Research (255 citations), Finance (135 citations), Artificial Intelligence (388 citations) and Management Information Systems (100 citations). Barbro Back has collaborated with scholars based in Finland, China and Australia. Frequent co-authors include Hannu Vanharanta, Kaisa Sere, Tomas Eklund, Ari Visa, Teija Laitinen, Michiel van Wezel, Jonas Karlsson, Antti Arppe, Peter Sarlin and Helena Karsten. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Medical Informatics, Journal of Management Information Systems, Expert Systems with Applications and Information Visualization.
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.