Magno Queiroz

23 papers receiving 792 citations

Hit Papers

Information technology and the search for organizational ...2018202620202023201850100150200250

Peers

Magno Queiroz
Comparison fields: 5 of 56
  • Management Information Systems 486
  • Strategy and Management 386
  • Management of Technology and Innovation 230
  • Industrial and Manufacturing Engineering 98
  • Information Systems and Management 93
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Donna B. Stoddard United States
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Citations per field
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Citations per year

Countries citing papers authored by Magno Queiroz

Since Specialization
Citations

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

Fields of papers citing papers by Magno Queiroz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magno Queiroz

This figure shows the co-authorship network connecting the top 25 collaborators of Magno Queiroz. A scholar is included among the top collaborators of Magno Queiroz 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 Magno Queiroz. Magno Queiroz 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
#WorkIndexed citations
1 3
2 3
3 10
4 7
5 6
6 28
7
Information technology and the search for organizational agility: A systematic review with future research possibilitiesbreakdown →
270
8 4
9 38
10
Business Process and IT Cospecialization: Conceptualization and Suggestions for Future Research
4
11 185
12 57
13 190
14
Strategic IT Alignment: 25 Years On
1
15
Reorienting the information systems function to support increasing levels of business service
2
16 3
17 6
18 5
19 2
20 4

About Magno Queiroz

Magno Queiroz is a scholar working on Management Information Systems, Strategy and Management and Management of Technology and Innovation, having authored 23 papers that have together received 841 indexed citations. Recurring topics across this work include Information Technology Governance and Strategy (17 papers), Big Data and Business Intelligence (10 papers) and Innovation and Knowledge Management (8 papers). The work is most often cited by research in Management Information Systems (486 citations), Management of Technology and Innovation (230 citations) and Strategy and Management (386 citations). Magno Queiroz has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Paul P. Tallon, Rajeev Sharma, Tim Coltman, Peter Reynolds, Claudio Bartolini, José Augusto de Oliveira, Abhijith Anand and Aaron Baird. Their work appears in journals such as Journal of Management Information Systems, Journal of the Association for Information Systems and European Journal of 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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