Isabel Seruca

442 citations
22 papers · 259 · h-index 8

Impact in

Papers in

Isabel Seruca

18 papers receiving 243 citations

Peers

Isabel Seruca
Comparison fields: 5 of 77
  • Management Information Systems 67
  • Information Systems 83
  • Software 14
  • Industrial and Manufacturing Engineering 35
  • Management Science and Operations Research 35
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Countries citing papers authored by Isabel Seruca

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Seruca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Isabel Seruca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Isabel Seruca Line = papers co-authored together Isabel Seruca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the 6th International Conference on Enterprise Information Systems (ICEIS 2004).
200499
2 201837
3 202030
4 201720
5 200319
6 200611
7 200610
8 20177
9 20236
10 20156
11 20165
12 20172
13 20151
14
Social business: A new dimension for education and training in organizations: The EToW model
20141
15
A traditional school towards a new dimension: social learning.
20131
16 20171
17
Towards a framework for classification and adoption of social media monitoring tools
20151
18 20131
19 20181
20 20190

About Isabel Seruca

Isabel Seruca is a scholar working on Information Systems, Management Information Systems, Sociology and Political Science, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 22 papers that have together received 259 indexed citations. Recurring topics across this work include Digital Transformation in Industry (3 papers), Business Process Modeling and Analysis (3 papers), Advanced Statistical Process Monitoring (2 papers), Big Data and Business Intelligence (2 papers), Education and Digital Technologies (2 papers), Imbalanced Data Classification Techniques (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Management Information Systems (67 citations), Information Systems (83 citations), Software (14 citations), Industrial and Manufacturing Engineering (35 citations) and Management Science and Operations Research (35 citations). Isabel Seruca has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include Joaquim Filipe, José Antônio Cordeiro, Slimane Hammoudi, Fernando Moreira, Maria João Ferreira, Pericles Loucopoulos, Ángeles Pereira, Natércia Durão, Guillermo L. Taboada and Cristina Sousa. Their work appears in journals such as Journal of Systems and Software, Sustainability, International Journal of Information System Modeling and Design, ICERI proceedings and INTED proceedings.

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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