Maja Pešić

1.4k total citations
12 papers, 528 citations indexed

About

Maja Pešić is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Maja Pešić has authored 12 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Information Systems, 7 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Maja Pešić's work include Business Process Modeling and Analysis (11 papers), Service-Oriented Architecture and Web Services (7 papers) and Semantic Web and Ontologies (4 papers). Maja Pešić is often cited by papers focused on Business Process Modeling and Analysis (11 papers), Service-Oriented Architecture and Web Services (7 papers) and Semantic Web and Ontologies (4 papers). Maja Pešić collaborates with scholars based in Netherlands, Italy and Serbia. Maja Pešić's co-authors include Wil M. P. van der Aalst, Helen Schonenberg, Federico Chesani, Paola Mello, Sergio Storari, Marco Montali, M. H. Schonenberg, Eduardo Alves Portela Santos, Mor Peleg and NA Nataliya Mulyar and has published in prestigious journals such as Genetics, Industrial Management & Data Systems and Medicina.

In The Last Decade

Maja Pešić

12 papers receiving 487 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maja Pešić Netherlands	8	441	367	237	91	70	12	528
NC Nick Russell Netherlands	9	448 1.0×	419 1.1×	202 0.9×	137 1.5×	43 0.6×	16	549
Ralf Laue Germany	12	456 1.0×	400 1.1×	246 1.0×	72 0.8×	47 0.7×	56	598
Gero Decker Germany	12	406 0.9×	407 1.1×	207 0.9×	121 1.3×	45 0.6×	29	559
Petia Wohed Sweden	10	413 0.9×	400 1.1×	204 0.9×	92 1.0×	18 0.3×	29	528
Eric Verbeek Netherlands	7	297 0.7×	321 0.9×	181 0.8×	95 1.0×	71 1.0×	15	412
S. Bandinelli Italy	10	364 0.8×	459 1.3×	236 1.0×	69 0.8×	37 0.5×	21	567
Stefanie Rinderle Germany	12	607 1.4×	542 1.5×	287 1.2×	111 1.2×	45 0.6×	34	692
Hagen Völzer Germany	10	292 0.7×	277 0.8×	146 0.6×	79 0.9×	86 1.2×	25	423
S. Kumaran United States	12	303 0.7×	330 0.9×	194 0.8×	121 1.3×	28 0.4×	23	434
Artem Polyvyanyy Australia	13	563 1.3×	381 1.0×	191 0.8×	85 0.9×	45 0.6×	60	672

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

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12 of 12 papers shown

Pešić, Maja, et al.. (2024). Demographic and Socioeconomic Predictors of Prehypertension and Hypertension in the Adult Population: Serbian National Health Survey. Medicina. 60(5). 824–824. 1 indexed citations

Santos, Eduardo Alves Portela, et al.. (2013). Supervisory control service for supporting flexible processes. Industrial Management & Data Systems. 113(7). 1007–1024. 3 indexed citations

Montali, Marco, Maja Pešić, Wil M. P. van der Aalst, et al.. (2010). Declarative specification and verification of service choreographiess. ACM Transactions on the Web. 4(1). 1–62. 106 indexed citations

Pešić, Maja, M. H. Schonenberg, & Wil M. P. van der Aalst. (2009). Declare demo : a constraint-based workflow management system. TU/e Research Portal. 29(5). 583–4. 8 indexed citations

Pešić, Maja. (2008). Constraint-based workflow management systems:shifting control to users. Data Archiving and Networked Services (DANS). 84 indexed citations

Mulyar, NA Nataliya, Maja Pešić, Wil M. P. van der Aalst, & Mor Peleg. (2007). Towards the flexibility in clinical guideline modelling languages. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 704(1). 54–5. 2 indexed citations

Pešić, Maja & Wil M. P. van der Aalst. (2007). Modelling work distribution mechanisms using Colored Petri Nets. International Journal on Software Tools for Technology Transfer. 9(3-4). 327–352. 16 indexed citations

Pešić, Maja, Helen Schonenberg, & Wil M. P. van der Aalst. (2007). DECLARE: Full Support for Loosely-Structured Processes. 287–287. 252 indexed citations

Pešić, Maja, Helen Schonenberg, & Wil M. P. van der Aalst. (2007). DECLARE: Full Support for Loosely-Structured Processes. TU/e Research Portal. 26 indexed citations

10.

Pešić, Maja. (2006). Specifying, Discovering, and Monitoring Service Flows: Making Web Services Process-Aware. Genetics. 163(3). 973–82. 14 indexed citations

11.

Aalst, Wil M. P. van der & Maja Pešić. (2006). DecSerFlow: Towards a Truly Declarative Service Flow Language. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 6 indexed citations

12.

Pešić, Maja & Wil M. P. van der Aalst. (2005). Modeling work distribution mechanisms using colored petri nets. TU/e Research Portal (Eindhoven University of Technology). 576. 157. 10 indexed citations

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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