Daniel C. Indro
About
In The Last Decade
Daniel C. Indro
13 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Finance 769
- Accounting 656
- Economics and Econometrics 589
- Management Science and Operations Research 377
- Artificial Intelligence 264
Countries citing papers authored by Daniel C. Indro
This map shows the geographic impact of Daniel C. Indro'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 Daniel C. Indro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Indro more than expected).
Fields of papers citing papers by Daniel C. Indro
This network shows the impact of papers produced by Daniel C. Indro. 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 Daniel C. Indro. The network helps show where Daniel C. Indro may publish in the future.
Co-authorship network of co-authors of Daniel C. Indro
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Indro. A scholar is included among the top collaborators of Daniel C. Indro 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 Daniel C. Indro. Daniel C. Indro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 13 | |
| 4 | 18 | |
| 5 | 33 | |
| 6 | Stock market volatility, excess returns, and the role of investor sentiment breakdown → | 515 |
| 7 | Theory and Methodology Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis | 2 |
| 8 | 18 | |
| 9 | 66 | |
| 10 | 491 | |
| 11 | 154 | |
| 12 | 24 | |
| 13 | 24 | |
| 14 | 1 |
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.