Teija Laitinen
- Accounting top 2%
- Auditing, Earnings Management, Governance 10
- Financial Distress and Bankruptcy Prediction 9
- Risk Management in Financial Firms 4
- Finance top 5%
- Credit Risk and Financial Regulations 4
- Financial Markets and Investment Strategies 2
- Capital Investment and Risk Analysis 2
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 5
- Strategy and Management top 10%
- Financial Reporting and Valuation Research 4
- Co-authors
- Erkki K. LaitinenBarbro BackKaisa SereMichiel van WezelVesa PuttonenTopi RönkköJuha KinnunenAri‐Matti Harri
- Journals
- European Journal of Operational Research (1 paper)Expert Systems with Applications (1 paper)Accounting Auditing & Accountability Journal (1 paper)
- Partner nations
- Finland
In The Last Decade
Teija Laitinen
17 papers receiving 577 citations
Peers
Comparison fields: 5 of 70
- Accounting 565
- Finance 194
- Artificial Intelligence 244
- Management Science and Operations Research 92
- Strategy and Management 75
Countries citing papers authored by Teija Laitinen
This map shows the geographic impact of Teija Laitinen'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 Teija Laitinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teija Laitinen more than expected).
Fields of papers citing papers by Teija Laitinen
This network shows the impact of papers produced by Teija Laitinen. 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 Teija Laitinen. The network helps show where Teija Laitinen may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Teija Laitinen, 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 | 2022 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2020 | 3 | |
| 4 | 2018 | 1 | |
| 5 | 2018 | 1 | |
| 6 | CITYZER - Services for effective decision making and environmental resilience | 2016 | 0 |
| 7 | 2016 | 0 | |
| 8 | 2016 | 25 | |
| 9 | 2014 | 12 | |
| 10 | Late Financial Distress Process Stages and Financial Ratios: Evidence for Auditors' Goingconcern Evaluation | 2012 | 5 |
| 11 | 2009 | 6 | |
| 12 | Avain laskentatoimeen ja rahoitukseen | 2007 | 1 |
| 13 | 2000 | 122 | |
| 14 | 1999 | 131 | |
| 15 | 1998 | 64 | |
| 16 | The Effect of Sample Size on Different Failure Prediction Methods | 1998 | 11 |
| 17 | 1998 | 11 | |
| 18 | 1998 | 30 | |
| 19 | Choosing Bankruptcy Predictors Using Discriminant Analysis, Logit Analysis, and Genetic Algorithms | 1996 | 92 |
| 20 | 1996 | 148 |
About Teija Laitinen
Teija Laitinen is a scholar working on Accounting, Finance and Strategy and Management, having authored 22 papers that have together received 675 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (10 papers), Financial Distress and Bankruptcy Prediction (9 papers), Imbalanced Data Classification Techniques (5 papers), Financial Reporting and Valuation Research (4 papers), Credit Risk and Financial Regulations (4 papers), Risk Management in Financial Firms (4 papers), Financial Markets and Investment Strategies (2 papers) and Capital Investment and Risk Analysis (2 papers). The work is most often cited by research in Accounting (565 citations), Finance (194 citations) and Artificial Intelligence (244 citations). Teija Laitinen has collaborated with scholars based in Finland. Frequent co-authors include Erkki K. Laitinen, Barbro Back, Kaisa Sere, Michiel van Wezel, Vesa Puttonen, Topi Rönkkö, Juha Kinnunen, Ari‐Matti Harri, Timo Nousiainen and Jarkko K. Niemi. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Accounting Auditing & Accountability Journal.
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.