Hanna Schäfer

38 total papers · 682 total citations
26 papers, 434 citations indexed

About

Hanna Schäfer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Hanna Schäfer has authored 26 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in General Health Professions. Recurrent topics in Hanna Schäfer's work include Mobile Health and mHealth Applications (7 papers), Recommender Systems and Techniques (6 papers) and Innovative Human-Technology Interaction (5 papers). Hanna Schäfer is often cited by papers focused on Mobile Health and mHealth Applications (7 papers), Recommender Systems and Techniques (6 papers) and Innovative Human-Technology Interaction (5 papers). Hanna Schäfer collaborates with scholars based in Germany, Sweden and Portugal. Hanna Schäfer's co-authors include Mennatallah El‐Assady, Udo Schlegel, Alan Said, Georg Groh, Christoph Trattner, Helma Torkamaan, Tom Florian Ulmer, André Calero Valdez, Martijn C. Willemsen and Christina Holzapfel and has published in prestigious journals such as Nutrients, Journal of the Association for Information Systems and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Hanna Schäfer

26 papers receiving 419 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hanna Schäfer	172	109	100	83	57	26	434
Marco Nalin	124 0.7×	32 0.3×	86 0.9×	30 0.4×	43 0.8×	31	484
Patrick Lange	260 1.5×	67 0.6×	19 0.2×	69 0.8×	19 0.3×	38	437
Andrew Macvean	92 0.5×	33 0.3×	128 1.3×	39 0.5×	20 0.4×	32	458
Federico Botella	74 0.4×	25 0.2×	92 0.9×	87 1.0×	19 0.3×	34	370
Charlie Hargood	65 0.4×	54 0.5×	26 0.3×	97 1.2×	26 0.5×	42	400
Stephen Kimani	50 0.3×	74 0.7×	91 0.9×	52 0.6×	13 0.2×	47	434
Ilaria Baroni	108 0.6×	25 0.2×	73 0.7×	21 0.3×	32 0.6×	23	411
Hafiz Syed Muhammad Bilal	135 0.8×	56 0.5×	66 0.7×	18 0.2×	40 0.7×	32	462
Mladjan Jovanovic	167 1.0×	44 0.4×	57 0.6×	23 0.3×	9 0.2×	36	453
Emma Anderson	57 0.3×	114 1.0×	68 0.7×	32 0.4×	13 0.2×	17	386

Countries citing papers authored by Hanna Schäfer

Since Specialization

Citations

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

Fields of papers citing papers by Hanna Schäfer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of Hanna Schäfer. A scholar is included among the top collaborators of Hanna Schäfer 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 Hanna Schäfer. Hanna Schäfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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