Marco Zapletal

51 total papers · 515 total citations
33 papers, 242 citations indexed

About

Marco Zapletal is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Marco Zapletal has authored 33 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Information Systems, 29 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Marco Zapletal's work include Business Process Modeling and Analysis (31 papers), Service-Oriented Architecture and Web Services (29 papers) and Advanced Software Engineering Methodologies (5 papers). Marco Zapletal is often cited by papers focused on Business Process Modeling and Analysis (31 papers), Service-Oriented Architecture and Web Services (29 papers) and Advanced Software Engineering Methodologies (5 papers). Marco Zapletal collaborates with scholars based in Austria, Australia and Netherlands. Marco Zapletal's co-authors include Christian Huemer, Hannes Werthner, Rainer Schuster, Christian Pichler, Jürgen Dorn, Birgit Hofreiter, R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst, Robert Engel and Robert Engel and has published in prestigious journals such as The Computer Journal, Information Systems and e-Business Management and Data Archiving and Networked Services (DANS).

In The Last Decade

Marco Zapletal

32 papers receiving 213 citations

Author Peers

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

Author						Papers	Cites
Marco Zapletal	200	195	73	34	27	33	242
Birgit Hofreiter	132 0.7×	114 0.6×	45 0.6×	22 0.6×	28 1.0×	20	168
Dimitris Karagiannis	156 0.8×	135 0.7×	72 1.0×	11 0.3×	20 0.7×	20	209
Krzysztof Kluza	128 0.6×	138 0.7×	81 1.1×	11 0.3×	19 0.7×	40	222
D.B.B. Rijsenbrij	136 0.7×	158 0.8×	113 1.5×	21 0.6×	33 1.2×	22	299
Peter Rittgen	171 0.9×	121 0.6×	76 1.0×	19 0.6×	13 0.5×	32	240
Werner Esswein	164 0.8×	139 0.7×	73 1.0×	25 0.7×	19 0.7×	54	305
Pascal van Eck	125 0.6×	152 0.8×	100 1.4×	16 0.5×	58 2.1×	35	272
Tom McBride	103 0.5×	121 0.6×	39 0.5×	23 0.7×	17 0.6×	24	317
Timo Käkölä	119 0.6×	166 0.9×	94 1.3×	28 0.8×	34 1.3×	41	276
Giuseppe Berio	169 0.8×	112 0.6×	65 0.9×	35 1.0×	20 0.7×	20	259

Countries citing papers authored by Marco Zapletal

Since Specialization

Citations

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

Fields of papers citing papers by Marco Zapletal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Zapletal

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