Arto Suvas

1.3k total citations · 1 hit paper
15 papers, 864 citations indexed

About

Arto Suvas is a scholar working on Accounting, Finance and Economics and Econometrics. According to data from OpenAlex, Arto Suvas has authored 15 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Accounting, 7 papers in Finance and 7 papers in Economics and Econometrics. Recurrent topics in Arto Suvas's work include Financial Distress and Bankruptcy Prediction (10 papers), Corporate Finance and Governance (6 papers) and Credit Risk and Financial Regulations (5 papers). Arto Suvas is often cited by papers focused on Financial Distress and Bankruptcy Prediction (10 papers), Corporate Finance and Governance (6 papers) and Credit Risk and Financial Regulations (5 papers). Arto Suvas collaborates with scholars based in Finland, Poland and Estonia. Arto Suvas's co-authors include Erkki K. Laitinen, Małgorzata Iwanicz‐Drozdowska, Edward I. Altman, Oliver Lukason, Gunnar Rosenqvist and Antti Kanto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Decision and Journal of Economic Psychology.

In The Last Decade

Arto Suvas

15 papers receiving 820 citations

Hit Papers

Financial Distress Prediction in an International Context... 2016 2026 2019 2022 2016 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐Score Model
    2016 524 citations Edward I. Altman, Małgorzata Iwanicz‐Drozdowska et al. Journal of International Financial Management and Accounting profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arto Suvas Finland 10 704 231 214 195 78 15 864
Małgorzata Iwanicz‐Drozdowska Poland 11 765 1.1× 409 1.8× 201 0.9× 331 1.7× 70 0.9× 75 1.1k
Sofie Balcaen Belgium 7 653 0.9× 199 0.9× 113 0.5× 172 0.9× 151 1.9× 9 755
Vineet Agarwal United Kingdom 11 874 1.2× 578 2.5× 219 1.0× 211 1.1× 98 1.3× 21 1.1k
Chris Charalambous Cyprus 10 392 0.6× 224 1.0× 97 0.5× 104 0.5× 144 1.8× 13 624
Andreas Charitou Cyprus 19 1.2k 1.8× 451 2.0× 559 2.6× 150 0.8× 148 1.9× 60 1.4k
Serafeim Tsoukas United Kingdom 14 335 0.5× 197 0.9× 92 0.4× 250 1.3× 22 0.3× 34 541
Jean‐Pierre Gueyié Canada 11 417 0.6× 251 1.1× 115 0.5× 261 1.3× 15 0.2× 42 680
Ting-Hsuan Chen Taiwan 13 241 0.3× 164 0.7× 238 1.1× 180 0.9× 33 0.4× 21 580
Zhihong Yi China 9 413 0.6× 269 1.2× 137 0.6× 130 0.7× 22 0.3× 23 653
Bora Aktan Bahrain 14 233 0.3× 234 1.0× 57 0.3× 262 1.3× 44 0.6× 54 523

Countries citing papers authored by Arto Suvas

Since Specialization
Citations

This map shows the geographic impact of Arto Suvas'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 Arto Suvas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arto Suvas more than expected).

Fields of papers citing papers by Arto Suvas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arto Suvas. 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 Arto Suvas. The network helps show where Arto Suvas may publish in the future.

Co-authorship network of co-authors of Arto Suvas

This figure shows the co-authorship network connecting the top 25 collaborators of Arto Suvas. A scholar is included among the top collaborators of Arto Suvas 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 Arto Suvas. Arto Suvas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Altman, Edward I., Małgorzata Iwanicz‐Drozdowska, Erkki K. Laitinen, & Arto Suvas. (2020). A Race for Long Horizon Bankruptcy Prediction. Applied Economics. 52(37). 4092–4111. 48 indexed citations
2.
Iwanicz‐Drozdowska, Małgorzata, Erkki K. Laitinen, & Arto Suvas. (2018). Paths of glory or paths of shame? An analysis of distress events in European banking. Bank i Kredyt. 49(2). 115–144. 6 indexed citations
3.
Altman, Edward I., Małgorzata Iwanicz‐Drozdowska, Erkki K. Laitinen, & Arto Suvas. (2016). Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐Score Model. Journal of International Financial Management and Accounting. 28(2). 131–171. 524 indexed citations breakdown →
4.
Altman, Edward I., Małgorzata Iwanicz‐Drozdowska, Erkki K. Laitinen, & Arto Suvas. (2016). Financial and nonfinancial variables as long-horizon predictors of bankruptcy. The Journal of Credit Risk. 12(4). 49–78. 35 indexed citations
5.
Laitinen, Erkki K. & Arto Suvas. (2016). The effect of national culture on financial distress prediction modelling: evidence from European countries. 6(4). 299–299. 2 indexed citations
6.
Laitinen, Erkki K. & Arto Suvas. (2016). The effect of national culture on financial distress prediction modelling: evidence from European countries. 6(4). 299–299. 3 indexed citations
7.
Laitinen, Erkki K. & Arto Suvas. (2016). Financial distress prediction in an international context: Moderating effects of Hofstede’s original cultural dimensions. Journal of Behavioral and Experimental Finance. 9. 98–118. 36 indexed citations
8.
Lukason, Oliver, Erkki K. Laitinen, & Arto Suvas. (2016). Failure processes of young manufacturing micro firms in Europe. Management Decision. 54(8). 1966–1985. 32 indexed citations
9.
Lukason, Oliver, Erkki K. Laitinen, & Arto Suvas. (2015). Growth Patterns of Small Manufacturing Firms Before Failure: Interconnections with Financial Ratios and Nonfinancial Variables. International Journal of Industrial Engineering and Management. 6(2). 59–66. 4 indexed citations
10.
Altman, Edward I., Małgorzata Iwanicz‐Drozdowska, Erkki K. Laitinen, & Arto Suvas. (2015). Financial and Non-Financial Variables as Long-Horizon Predictors of Bankruptcy. SSRN Electronic Journal. 25 indexed citations
11.
Laitinen, Erkki K., Oliver Lukason, & Arto Suvas. (2014). Are firm failure processes different? Evidence from seven countries. SHILAP Revista de lepidopterología. 17 indexed citations
12.
Laitinen, Erkki K., Oliver Lukason, & Arto Suvas. (2014). Behaviour of Financial Ratios in Firm Failure Process: An International Comparison. 3(2). 122–131. 11 indexed citations
13.
Altman, Edward I., Małgorzata Iwanicz‐Drozdowska, Erkki K. Laitinen, & Arto Suvas. (2014). Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model. SSRN Electronic Journal. 107 indexed citations
14.
Suvas, Arto. (1996). AN EXAMINATION OF THE TIME SERIES PROPERTIES OF LISTED, PRIVATELY HELD AND FAILING FIRMS. Journal of Business Finance & Accounting. 23(4). 617–639. 1 indexed citations
15.
Kanto, Antti, Gunnar Rosenqvist, & Arto Suvas. (1992). On utility function estimation of racetrack bettors. Journal of Economic Psychology. 13(3). 491–498. 13 indexed citations

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.

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