Marion Poetz

87 total papers · 929 total citations
27 papers, 351 citations indexed

About

Marion Poetz is a scholar working on Computer Science Applications, Communication and Strategy and Management. According to data from OpenAlex, Marion Poetz has authored 27 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Science Applications, 7 papers in Communication and 5 papers in Strategy and Management. Recurrent topics in Marion Poetz's work include Open Source Software Innovations (12 papers), Knowledge Management and Sharing (7 papers) and Innovation and Knowledge Management (5 papers). Marion Poetz is often cited by papers focused on Open Source Software Innovations (12 papers), Knowledge Management and Sharing (7 papers) and Innovation and Knowledge Management (5 papers). Marion Poetz collaborates with scholars based in Denmark, Austria and Germany. Marion Poetz's co-authors include Martin Schreier, Nikolaus Franke, Reinhard Prügl, Henry Sauermann, Susanne Beck, Chiara Franzoni, Christoph Grimpe, Karin Beukel, Maral Mahdad and Markus Eurich and has published in prestigious journals such as PLoS ONE, Management Science and Research Policy.

In The Last Decade

Marion Poetz

23 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Marion Poetz	162	97	81	61	59	27	351
Patrick Pollok	175 1.1×	114 1.2×	104 1.3×	65 1.1×	43 0.7×	16	329
Stefano Comino	139 0.9×	96 1.0×	47 0.6×	73 1.2×	43 0.7×	27	308
Dirk Deichmann	70 0.4×	127 1.3×	91 1.1×	74 1.2×	52 0.9×	24	380
Elina H. Hwang	85 0.5×	60 0.6×	134 1.7×	120 2.0×	21 0.4×	27	353
J. Nils Foege	49 0.3×	148 1.5×	46 0.6×	63 1.0×	87 1.5×	29	360
Amanda J. Porter	47 0.3×	87 0.9×	61 0.8×	116 1.9×	43 0.7×	16	344
John Prpić	241 1.5×	35 0.4×	121 1.5×	80 1.3×	18 0.3×	21	395
Mervi Hasu	41 0.3×	71 0.7×	52 0.6×	99 1.6×	62 1.1×	25	394
Lee Erickson	88 0.5×	38 0.4×	76 0.9×	131 2.1×	30 0.5×	23	379
Karol I. Pelc	47 0.3×	96 1.0×	61 0.8×	35 0.6×	45 0.8×	17	368

Countries citing papers authored by Marion Poetz

Since Specialization

Citations

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

Fields of papers citing papers by Marion Poetz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Poetz

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