Anna Syberfeldt

About

Anna Syberfeldt is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Anna Syberfeldt has authored 67 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Industrial and Manufacturing Engineering, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Theory and Mathematics. Recurrent topics in Anna Syberfeldt’s work include Manufacturing Process and Optimization (15 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and Augmented Reality Applications (13 papers). Anna Syberfeldt is often cited by papers focused on Manufacturing Process and Optimization (15 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and Augmented Reality Applications (13 papers). Anna Syberfeldt collaborates with scholars based in Sweden, Iran and United Kingdom. Anna Syberfeldt's co-authors include Oscar Danielsson, Magnus Holm, Lihui Wang, Patrik Gustavsson, Amos H.C. Ng, Masood Fathi, Philip Moore, Robert John, Matías Urenda Moris and Mattias Strand and has published in prestigious journals such as European Journal of Operational Research, IEEE Access and International Journal of Production Research.

In The Last Decade

Co-authorship network of co-authors of Anna Syberfeldt i

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Fields of papers citing papers by Anna Syberfeldt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anna Syberfeldt

Since Specialization

Citations

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