Maja Pešić

1.4k citations
12 papers · 528 indexed · h-index 8
Topics
Business Process Modeling and Analysis (11 papers)Service-Oriented Architecture and Web Services (7 papers)Semantic Web and Ontologies (4 papers)
Partner nations
NetherlandsItalyBrazil

In The Last Decade

Maja Pešić

12 papers receiving 487 citations

Peers

Maja Pešić
Comparison fields: 5 of 35
  • Management Information Systems 441
  • Information Systems 367
  • Artificial Intelligence 237
  • Computer Networks and Communications 91
  • Computational Theory and Mathematics 70
Replace NC Nick Russell with:
NC Nick Russell Netherlands
Ralf Laue Germany
Gero Decker Germany
Petia Wohed Sweden
Eric Verbeek Netherlands
S. Bandinelli Italy
Stefanie Rinderle Germany
S. Kumaran United States
Hagen Völzer Germany
Artem Polyvyanyy Australia
Maja Pešić relative to NC Nick Russell Netherlands NC Nick Russell's profile →
Citations per field
00.5×11×
NC Nick Russell · 1×
Citations per year

Countries citing papers authored by Maja Pešić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Pešić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Pešić

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Pešić. A scholar is included among the top collaborators of Maja Pešić 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 Maja Pešić. Maja Pešić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 3
3 106
4 8
5 84
6
Towards the flexibility in clinical guideline modelling languages
2
7 16
8 252
9 26
10 14
11 6
12
Modeling work distribution mechanisms using colored petri nets
10

About Maja Pešić

Maja Pešić is a scholar working on Management Information Systems, Information Systems and Computational Theory and Mathematics, having authored 12 papers that have together received 528 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (11 papers), Service-Oriented Architecture and Web Services (7 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Management Information Systems (441 citations), Information Systems (367 citations) and Software (43 citations). Maja Pešić has collaborated with scholars based in Netherlands, Italy and Brazil. Frequent co-authors include Wil M. P. van der Aalst, Helen Schonenberg, Federico Chesani, Marco Montali, Paola Mello, Sergio Storari, M. H. Schonenberg, NA Nataliya Mulyar, Mor Peleg and Eduardo Alves Portela Santos. Their work appears in journals such as Genetics, Industrial Management & Data Systems and Medicina.

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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