M. Concepción Ausín

26 papers and 628 indexed citations i.

About

M. Concepción Ausín is a scholar working on Finance, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, M. Concepción Ausín has authored 26 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Finance, 11 papers in Statistics and Probability and 10 papers in Artificial Intelligence. Recurrent topics in M. Concepción Ausín’s work include Financial Risk and Volatility Modeling (13 papers), Bayesian Methods and Mixture Models (10 papers) and Probability and Risk Models (7 papers). M. Concepción Ausín is often cited by papers focused on Financial Risk and Volatility Modeling (13 papers), Bayesian Methods and Mixture Models (10 papers) and Probability and Risk Models (7 papers). M. Concepción Ausín collaborates with scholars based in Spain, United States and Canada. M. Concepción Ausín's co-authors include Michael P. Wiper, Ali Sarhadi, Pedro Galeano, Hedibert F. Lopes, Danielle Touma, Noah S. Diffenbaugh, Donald H. Burn, José Antonio Carranza Carnicero, Rosa E. Lillo and Pulak Ghosh and has published in prestigious journals such as Scientific Reports, Water Resources Research and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of M. Concepción Ausín i

Fields of papers citing papers by M. Concepción Ausín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by M. Concepción Ausín

Since Specialization
Citations

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).

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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2025