Morgan Ericsson

673 citations
60 papers · 398 · h-index 9

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Software Engineering Techniques and Practices
    • Mobile Learning in Education

Papers in

Morgan Ericsson

49 papers receiving 373 citations

Peers

Morgan Ericsson
Comparison fields: 5 of 102
  • Software 62
  • Information Systems 196
  • Aging 14
  • Computer Science Applications 36
  • Endocrinology 18
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Sara Hooshangi United States
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Citations per field
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Citations per year

Countries citing papers authored by Morgan Ericsson

Since Specialization
Citations

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

Fields of papers citing papers by Morgan Ericsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Morgan Ericsson, 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 Morgan Ericsson Line = papers co-authored together Morgan Ericsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000148
2 201132
3 201625
4 201022
5 202015
6 201910
7 20219
8 20159
9
Analysis and visualization of information quality of technical documentation
20108
10 20077
11 20197
12 20217
13 20186
14 20176
15
A Visualization-based Approach to Present and Assess Technical Documentation Quality
20115
16 20145
17
Thinking ahead in mobile learning projects : A survey on risk assessment
20095
18
Current practice in mobile learning : A survey of research method and purpose
20095
19 20204
20 20124

About Morgan Ericsson

Morgan Ericsson is a scholar working on Information Systems, Computer Networks and Communications, Software, Artificial Intelligence and Management Information Systems, having authored 60 papers that have together received 398 indexed citations. Recurring topics across this work include Software Engineering Research (31 papers), Software Reliability and Analysis Research (15 papers), Software System Performance and Reliability (15 papers), Advanced Software Engineering Methodologies (11 papers), Software Engineering Techniques and Practices (10 papers), Mobile Learning in Education (7 papers), Data Quality and Management (6 papers) and Big Data and Business Intelligence (6 papers). The work is most often cited by research in Software (62 citations), Information Systems (196 citations), Aging (14 citations), Computer Science Applications (36 citations) and Endocrinology (18 citations). Morgan Ericsson has collaborated with scholars based in Sweden, United States and Czechia. Frequent co-authors include Anna Wingkvist, D. Hanstorp, Jonas Enger, Thomas Nyström, Welf Löwe, Tobias Olsson, Rüdiger Lincke, Daniel Toll, Imed Hammouda and Emil Alégroth. Their work appears in journals such as Journal of Bacteriology, International Journal of Mobile Learning and Organisation, Empirical Software Engineering, Journal of Systems and Software and Software Quality Journal.

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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