Marian Daun

138 total papers · 884 total citations
63 papers, 427 citations indexed

About

Marian Daun is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Marian Daun has authored 63 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Information Systems, 29 papers in Artificial Intelligence and 21 papers in Software. Recurrent topics in Marian Daun's work include Advanced Software Engineering Methodologies (29 papers), Software Engineering Techniques and Practices (22 papers) and Software Engineering Research (18 papers). Marian Daun is often cited by papers focused on Advanced Software Engineering Methodologies (29 papers), Software Engineering Techniques and Practices (22 papers) and Software Engineering Research (18 papers). Marian Daun collaborates with scholars based in Germany, United States and United Kingdom. Marian Daun's co-authors include Jennifer Brings, Bastian Tenbergen, Thorsten Weyer, Klaus Pohl, Ilias Gerostathopoulos, Stefan Biffl, Danny Weyns, Christine Julien, Christian Berger and Richard Mordinyi and has published in prestigious journals such as Future Generation Computer Systems, IEEE Software and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Marian Daun

56 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Marian Daun 211 150 98 93 49 63 427
Gonzalo Génova 180 0.9× 148 1.0× 22 0.2× 96 1.0× 17 0.3× 43 393
José María Álvarez-Rodríguez 141 0.7× 153 1.0× 23 0.2× 30 0.3× 25 0.5× 68 382
Jessica Díaz 279 1.3× 133 0.9× 44 0.4× 44 0.5× 23 0.5× 37 433
Renuka Sindhgatta 210 1.0× 202 1.3× 88 0.9× 38 0.4× 4 0.1× 37 422
Manu Sood 109 0.5× 165 1.1× 96 1.0× 22 0.2× 27 0.6× 33 435
Angela Guercio 185 0.9× 99 0.7× 42 0.4× 47 0.5× 17 0.3× 46 370
Leila Jemni Ben Ayed 163 0.8× 170 1.1× 193 2.0× 72 0.8× 15 0.3× 77 484
Julio Ariel Hurtado Alegría 282 1.3× 127 0.8× 43 0.4× 46 0.5× 6 0.1× 55 402
Fatma Başak Aydemir 285 1.4× 223 1.5× 24 0.2× 82 0.9× 15 0.3× 29 435
Jocelyn Simmonds 255 1.2× 240 1.6× 66 0.7× 111 1.2× 22 0.4× 42 473

Countries citing papers authored by Marian Daun

Since Specialization
Citations

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

Fields of papers citing papers by Marian Daun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marian Daun

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