Marta Shaw

509 citations
20 papers · 370 · h-index 10

Impact in

Papers in

    • Cognitive and psychological constructs research 2
    • Team Dynamics and Performance 2
    • Knowledge Management and Sharing 1

Marta Shaw

19 papers receiving 336 citations

Peers

Marta Shaw
Comparison fields: 5 of 78
  • Human-Computer Interaction 44
  • Computer Science Applications 32
  • Information Systems 128
  • Artificial Intelligence 123
  • Management Information Systems 29
Replace A.E. Blandford with:
A.E. Blandford United Kingdom
Sofia Sherman Israel
Meira Levy Israel
Jacob Palme Sweden
Thomas Mahatody Madagascar
Waralak Vongdoiwang Siricharoen Thailand
Gareth V. Hughes United Kingdom
Raul Sidnei Wazlawick Brazil
Andreas Munk-Madsen Denmark
Tatiana B. Gouveia Brazil
Marta Shaw relative to A.E. Blandford United Kingdom A.E. Blandford's profile →
Citations per field
00.5×2×3×4×5×
A.E. Blandford · 1×
Citations per year

Countries citing papers authored by Marta Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Marta Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marta Shaw, 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 Marta Shaw Line = papers co-authored together Marta Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199393
2 200076
3 199256
4 201722
5 199316
6 200215
7 201915
8 202115
9 201714
10 199613
11 20207
12 19896
13 20176
14 19914
15 20153
16 19883
17 20062
18 20202
19 19931
20 20031

About Marta Shaw

Marta Shaw is a scholar working on Social Psychology, Communication, Artificial Intelligence, Public Health, Environmental and Occupational Health and Information Systems, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (4 papers), Palliative Care and End-of-Life Issues (4 papers), Semantic Web and Ontologies (3 papers), Cognitive and psychological constructs research (2 papers), Team Dynamics and Performance (2 papers), Advanced Computational Techniques and Applications (2 papers), Software Engineering Techniques and Practices (2 papers) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Human-Computer Interaction (44 citations), Computer Science Applications (32 citations), Information Systems (128 citations), Artificial Intelligence (123 citations) and Management Information Systems (29 citations). Marta Shaw has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Brian R. Gaines, Armin Eberlein, Jennifer Hewson, Jessica E. Simon, Shelley Raffin Bouchal, Crystal Kwan, Daniel W. L. Lai, David B. Hogan, Andrew D. McRae and Ian E. Blanchard. Their work appears in journals such as CMAJ Open, IBM Systems Journal, IEEE Software, BMC Palliative Care and Canadian Journal of Cardiology.

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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