Niklas Bussmann

610 total citations · 1 hit paper
5 papers, 359 citations indexed

About

Niklas Bussmann is a scholar working on Finance, Accounting and Management Information Systems. According to data from OpenAlex, Niklas Bussmann has authored 5 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Finance, 4 papers in Accounting and 2 papers in Management Information Systems. Recurrent topics in Niklas Bussmann's work include Financial Distress and Bankruptcy Prediction (3 papers), Credit Risk and Financial Regulations (2 papers) and FinTech, Crowdfunding, Digital Finance (2 papers). Niklas Bussmann is often cited by papers focused on Financial Distress and Bankruptcy Prediction (3 papers), Credit Risk and Financial Regulations (2 papers) and FinTech, Crowdfunding, Digital Finance (2 papers). Niklas Bussmann collaborates with scholars based in Italy, United Kingdom and Bulgaria. Niklas Bussmann's co-authors include Dimitri Marinelli, Jochen Papenbrock, Paolo Giudici, Ellen Pei‐yi Yu and Alessandra Tanda and has published in prestigious journals such as Computational Economics, Frontiers in Artificial Intelligence and SSRN Electronic Journal.

In The Last Decade

Niklas Bussmann

5 papers receiving 338 citations

Hit Papers

Explainable Machine Learning in Credit Risk Management 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niklas Bussmann Italy 4 188 144 78 75 65 5 359
Bertrand K. Hassani France 9 119 0.6× 157 1.1× 75 1.0× 126 1.7× 91 1.4× 27 372
Jochen Papenbrock United Kingdom 10 215 1.1× 162 1.1× 159 2.0× 150 2.0× 168 2.6× 27 536
Naeem Siddiqi South Africa 5 126 0.7× 154 1.1× 23 0.3× 82 1.1× 41 0.6× 6 300
Alejandro Lopez-Lira United States 6 62 0.3× 72 0.5× 109 1.4× 101 1.3× 71 1.1× 14 263
Hyungjin Ko South Korea 10 114 0.6× 32 0.2× 74 0.9× 88 1.2× 105 1.6× 18 419
Francesco Corea Italy 9 30 0.2× 66 0.5× 45 0.6× 25 0.3× 62 1.0× 16 211
Iván Pastor Sanz Spain 8 85 0.5× 141 1.0× 47 0.6× 86 1.1× 49 0.8× 23 308
Milija Suknović Serbia 10 130 0.7× 37 0.3× 40 0.5× 14 0.2× 21 0.3× 34 259
Peter Martey Addo France 5 109 0.6× 122 0.8× 35 0.4× 73 1.0× 64 1.0× 9 253

Countries citing papers authored by Niklas Bussmann

Since Specialization
Citations

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

Fields of papers citing papers by Niklas Bussmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Bussmann

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

All Works

5 of 5 papers shown
1.
Bussmann, Niklas, Paolo Giudici, Alessandra Tanda, & Ellen Pei‐yi Yu. (2025). Explainable machine learning to predict the cost of capital. Frontiers in Artificial Intelligence. 8. 1578190–1578190. 2 indexed citations
2.
Bussmann, Niklas, Alessandra Tanda, & Ellen Pei‐yi Yu. (2022). Can ESG Shape Cost of Capital? A Bibliometric Review and Empirical Analysis Through ML. SSRN Electronic Journal. 3 indexed citations
3.
Bussmann, Niklas, Paolo Giudici, Dimitri Marinelli, & Jochen Papenbrock. (2020). Explainable AI in Fintech Risk Management. Frontiers in Artificial Intelligence. 3. 26–26. 112 indexed citations
4.
Bussmann, Niklas, Paolo Giudici, Dimitri Marinelli, & Jochen Papenbrock. (2020). Explainable Machine Learning in Credit Risk Management. Computational Economics. 57(1). 203–216. 222 indexed citations breakdown →
5.
Bussmann, Niklas, Paolo Giudici, Dimitri Marinelli, & Jochen Papenbrock. (2019). Explainable AI in Credit Risk Management. SSRN Electronic Journal. 20 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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