Manu De Backer

79 total papers · 1.8k total citations
35 papers, 1.0k citations indexed

About

Manu De Backer is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Manu De Backer has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Information Systems, 21 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Manu De Backer's work include Business Process Modeling and Analysis (24 papers), Service-Oriented Architecture and Web Services (15 papers) and Information Technology Governance and Strategy (10 papers). Manu De Backer is often cited by papers focused on Business Process Modeling and Analysis (24 papers), Service-Oriented Architecture and Web Services (15 papers) and Information Technology Governance and Strategy (10 papers). Manu De Backer collaborates with scholars based in Belgium, United Kingdom and United States. Manu De Backer's co-authors include Bart Baesens, Geert Poels, Jan Vanthienen, Monique Snoeck, Amy Van Looy, Raf Haesen, David Martens, Jochen De Weerdt, David Martens and Christophe Mues and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Information & Management and Computers in Industry.

In The Last Decade

Manu De Backer

31 papers receiving 960 citations

Author Peers

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

Author Last Decade Papers Cites
Manu De Backer 509 420 347 123 115 35 1.0k
Andreas Oberweis 766 1.5× 672 1.6× 360 1.0× 89 0.7× 76 0.7× 104 1.2k
Amit Basu 405 0.8× 329 0.8× 257 0.7× 58 0.5× 149 1.3× 67 1.1k
Michael zur Muehlen 741 1.5× 670 1.6× 265 0.8× 99 0.8× 57 0.5× 45 989
Dimitris Karagiannis 505 1.0× 397 0.9× 209 0.6× 94 0.8× 102 0.9× 57 941
Paul Harmon 432 0.8× 216 0.5× 226 0.7× 75 0.6× 122 1.1× 40 983
Stefan Jablonski 726 1.4× 715 1.7× 375 1.1× 117 1.0× 35 0.3× 100 1.2k
Richard J. Mayer 354 0.7× 214 0.5× 204 0.6× 235 1.9× 48 0.4× 65 945
Axel Korthaus 302 0.6× 559 1.3× 421 1.2× 31 0.3× 51 0.4× 69 1.0k
Jan L. G. Dietz 680 1.3× 554 1.3× 407 1.2× 44 0.4× 63 0.5× 77 1.1k
Oktay Türetken 523 1.0× 322 0.8× 122 0.4× 150 1.2× 173 1.5× 70 1.0k

Countries citing papers authored by Manu De Backer

Since Specialization
Citations

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

Fields of papers citing papers by Manu De Backer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manu De Backer. 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 Manu De Backer. The network helps show where Manu De Backer may publish in the future.

Co-authorship network of co-authors of Manu De Backer

This figure shows the co-authorship network connecting the top 25 collaborators of Manu De Backer. A scholar is included among the top collaborators of Manu De Backer 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 Manu De Backer. Manu De Backer 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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