George Valença

624 citations
48 papers · 338 · h-index 8

Impact in

Papers in

George Valença

37 papers receiving 323 citations

Peers

George Valença
Comparison fields: 5 of 56
  • Computer Science Applications 80
  • Information Systems 209
  • Management Information Systems 64
  • Software 26
  • Artificial Intelligence 120
Replace Daniela Damian with:
Daniela Damian Canada
Carla Pacheco Mexico
Samuel Fricker Switzerland
Sheila Reinehr Brazil
J. Kontio Finland
Maíra Marques Samary Chile
Mary Sánchez‐Gordón Norway
Hendrik Meth Germany
Michel Léonard Switzerland
Steve Adolph Canada
George Valença relative to Daniela Damian Canada Daniela Damian's profile →
Citations per field
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Citations per year

Countries citing papers authored by George Valença

Since Specialization
Citations

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

Fields of papers citing papers by George Valença

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside George Valença, 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 George Valença Line = papers co-authored together George Valença links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 201330
3 201724
4 201416
5 202216
6 201815
7 20079
8 20209
9 20137
10
Understanding The Adoption Of BPM Governance In Brazilian Public Sector
20136
11 20246
12 20165
13 20155
14 20245
15 20185
16 20243
17 20233
18 20183
19 20203
20 20202

About George Valença

George Valença is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Management Information Systems and Information Systems and Management, having authored 48 papers that have together received 338 indexed citations. Recurring topics across this work include Open Source Software Innovations (12 papers), Software Engineering Techniques and Practices (7 papers), Business and Management Studies (7 papers), Big Data and Business Intelligence (5 papers), Biomedical and Engineering Education (5 papers), Business Process Modeling and Analysis (5 papers), Advanced Software Engineering Methodologies (4 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Computer Science Applications (80 citations), Information Systems (209 citations), Management Information Systems (64 citations), Software (26 citations) and Artificial Intelligence (120 citations). George Valença has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Carina Alves, Vander Alves, Nan Niu, Slinger Jansen, Kiev Gama, Sjaak Brinkkemper, João Pimentel, Cleidson R. B. de Souza, Xavier Franch and Rodrigo Pereira dos Santos. Their work appears in journals such as Journal of Systems and Software, Information and Software Technology, IEEE Software, International Journal of Human-Computer Interaction and International Journal of Business Information Systems.

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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