M. Concepción Ausín
- Global and Planetary Change top 5%
- Finance top 5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Michael P. WiperAli SarhadiPedro GaleanoNoah S. DiffenbaughDanielle ToumaHedibert F. LopesDonald H. BurnJosé Antonio Carranza Carnicero
- Topics
- Financial Risk and Volatility Modeling (12 papers)Bayesian Methods and Mixture Models (10 papers)Probability and Risk Models (7 papers)
- Partner nations
- SpainUnited StatesSweden
In The Last Decade
M. Concepción Ausín
25 papers receiving 640 citations
Peers
Comparison fields: 5 of 81
- Global and Planetary Change 293
- Finance 165
- Artificial Intelligence 112
- Economics and Econometrics 112
- Ecology, Evolution, Behavior and Systematics 102
Countries citing papers authored by M. Concepción Ausín
This map shows the geographic impact of M. Concepción Ausín'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 M. Concepción Ausín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Concepción Ausín more than expected).
Fields of papers citing papers by M. Concepción Ausín
This network shows the impact of papers produced by M. Concepción Ausín. 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 M. Concepción Ausín. The network helps show where M. Concepción Ausín may publish in the future.
Co-authorship network of co-authors of M. Concepción Ausín
This figure shows the co-authorship network connecting the top 25 collaborators of M. Concepción Ausín. A scholar is included among the top collaborators of M. Concepción Ausín 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 M. Concepción Ausín. M. Concepción Ausín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 192 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 24 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 40 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 59 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | 52 | |
| 20 | 21 |
About M. Concepción Ausín
M. Concepción Ausín is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 25 papers that have together received 656 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (12 papers), Bayesian Methods and Mixture Models (10 papers) and Probability and Risk Models (7 papers). The work is most often cited by research in Finance (165 citations), Global and Planetary Change (293 citations) and Statistics and Probability (96 citations). M. Concepción Ausín has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Michael P. Wiper, Ali Sarhadi, Pedro Galeano, Noah S. Diffenbaugh, Danielle Touma, Hedibert F. Lopes, Donald H. Burn, José Antonio Carranza Carnicero, Rosa E. Lillo and Pulak Ghosh. Their work appears in journals such as Scientific Reports, Water Resources Research and European Journal of Operational Research.
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.