Laura Genga

467 total citations
37 papers, 190 citations indexed

About

Laura Genga is a scholar working on Management Information Systems, Artificial Intelligence and Information Systems. According to data from OpenAlex, Laura Genga has authored 37 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Information Systems, 18 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Laura Genga's work include Business Process Modeling and Analysis (27 papers), Semantic Web and Ontologies (13 papers) and Service-Oriented Architecture and Web Services (7 papers). Laura Genga is often cited by papers focused on Business Process Modeling and Analysis (27 papers), Semantic Web and Ontologies (13 papers) and Service-Oriented Architecture and Web Services (7 papers). Laura Genga collaborates with scholars based in Netherlands, Italy and Austria. Laura Genga's co-authors include Domenico Potena, Claudia Diamantini, Nicola Zannone, Wil M. P. van der Aalst, Remco Dijkman, Mahdi Alizadeh, Emanuele Storti, Fabrizio Marozzo, Murat Fırat and Tugce Martagan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Laura Genga

36 papers receiving 184 citations

Peers

Laura Genga
Comparison fields: 5 of 56
  • Management Information Systems 113
  • Information Systems 71
  • Artificial Intelligence 51
  • Computer Networks and Communications 34
  • Management Science and Operations Research 32
Replace Andries Stam with:
Andries Stam Netherlands
Kamalendu Pal United Kingdom
Cristina Cabanillas Austria
Minxin Shen Taiwan
Amelia Bădică Romania
Wikan Danar Sunindyo Indonesia
David Issa Mattos Sweden
Wout Hofman Netherlands
Bernhard G. Humm Germany
Nick van Beest Netherlands
Andries Stam Netherlands View profile →
Citations per field, relative to Laura Genga
Laura Genga · 1×
Citations per year, relative to Laura Genga
Laura Genga · 1×

Countries citing papers authored by Laura Genga

Since Specialization
Citations

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

Fields of papers citing papers by Laura Genga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Genga

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 2
5 3
6 1
7 16
8 1
9 3
10 3
11 2
12 4
13 2
14 18
15
APD tool:Mining anomalous patterns from event logs
1
16 11
17 20
18
Towards process instances building for spaghetti processes
2
19
A semi-automatic methodology for the design of performance monitoring systems.
4
20 2

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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