Maria Opfermann

22 total papers · 949 total citations
10 papers, 584 citations indexed

About

Maria Opfermann is a scholar working on Experimental and Cognitive Psychology, Education and Developmental and Educational Psychology. According to data from OpenAlex, Maria Opfermann has authored 10 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Experimental and Cognitive Psychology, 6 papers in Education and 5 papers in Developmental and Educational Psychology. Recurrent topics in Maria Opfermann's work include Visual and Cognitive Learning Processes (9 papers), Innovative Teaching and Learning Methods (4 papers) and Science Education and Pedagogy (3 papers). Maria Opfermann is often cited by papers focused on Visual and Cognitive Learning Processes (9 papers), Innovative Teaching and Learning Methods (4 papers) and Science Education and Pedagogy (3 papers). Maria Opfermann collaborates with scholars based in Germany, United States and Netherlands. Maria Opfermann's co-authors include Detlev Leutner, Annett Schmeck, Tessa H.S. Eysink, Tamara van Gog, Fred Paas, Hubertina Thillmann, Richard E. Mayer, Kirsten Berthold, Friedrich W. Hesse and Katharina Scheiter and has published in prestigious journals such as Computers in Human Behavior, American Educational Research Journal and Contemporary Educational Psychology.

In The Last Decade

Maria Opfermann

10 papers receiving 553 citations

Author Peers

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

Author						Papers	Cites
Maria Opfermann	362	298	249	72	52	10	584
Richard B. Anderson	359 1.0×	262 0.9×	277 1.1×	74 1.0×	42 0.8×	7	686
Christian Kürschner	339 0.9×	270 0.9×	168 0.7×	110 1.5×	51 1.0×	9	619
Melina Klepsch	317 0.9×	260 0.9×	124 0.5×	125 1.7×	43 0.8×	8	631
Kirsten R. Butcher	265 0.7×	265 0.9×	204 0.8×	108 1.5×	71 1.4×	37	596
Jennifer A. Kaminski	224 0.6×	301 1.0×	330 1.3×	51 0.7×	30 0.6×	21	580
Tim Kühl	366 1.0×	264 0.9×	164 0.7×	67 0.9×	17 0.3×	28	596
Franck Amadieu	222 0.6×	297 1.0×	193 0.8×	79 1.1×	71 1.4×	33	591
Ingrid A.E. Spanjers	292 0.8×	251 0.8×	267 1.1×	61 0.8×	64 1.2×	10	572
Lawrence J. Najjar	104 0.3×	132 0.4×	179 0.7×	43 0.6×	58 1.1×	14	496
Bas Kollöffel	142 0.4×	268 0.9×	301 1.2×	56 0.8×	96 1.8×	22	609

Countries citing papers authored by Maria Opfermann

Since Specialization

Citations

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

Fields of papers citing papers by Maria Opfermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Opfermann

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Opfermann. A scholar is included among the top collaborators of Maria Opfermann 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 Maria Opfermann. Maria Opfermann 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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