Alberto Seeger

113 papers and 1.3k indexed citations i.

About

Alberto Seeger is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Alberto Seeger has authored 113 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computational Theory and Mathematics, 56 papers in Applied Mathematics and 50 papers in Numerical Analysis. Recurrent topics in Alberto Seeger’s work include Advanced Optimization Algorithms Research (49 papers), Optimization and Variational Analysis (46 papers) and Point processes and geometric inequalities (36 papers). Alberto Seeger is often cited by papers focused on Advanced Optimization Algorithms Research (49 papers), Optimization and Variational Analysis (46 papers) and Point processes and geometric inequalities (36 papers). Alberto Seeger collaborates with scholars based in France, Chile and Brazil. Alberto Seeger's co-authors include Alfredo N. Iusem, Jean‐Baptiste Hiriart‐Urruty, A. Pinto da Costa, Rafael Corrêa, Mohammed Amine Moussaoui, Juan Enrique Martínez-Legaz, René Henrion, Samir Adly, Michel Volle and Jean-Pierre Crouzeix and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and SIAM Review.

In The Last Decade

Co-authorship network of co-authors of Alberto Seeger i

Fields of papers citing papers by Alberto Seeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Seeger

Since Specialization
Citations

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