Jennifer Sampson

641 citations
20 papers · 346 indexed · h-index 9
Topics
Semantic Web and Ontologies (9 papers)Service-Oriented Architecture and Web Services (4 papers)Data Visualization and Analytics (4 papers)
Partner nations
AustraliaNorwayAustria

In The Last Decade

Jennifer Sampson

19 papers receiving 308 citations

Peers

Jennifer Sampson
Comparison fields: 5 of 92
  • Information Systems 162
  • Artificial Intelligence 115
  • Management Information Systems 67
  • Computer Networks and Communications 43
  • Computer Vision and Pattern Recognition 42
Replace A.M. Davis with:
A.M. Davis United States
Deepika Badampudi Sweden
Anabel Fraga Spain
Barbara Endicott‐Popovsky United States
Henda Hajjami Ben Ghézala Tunisia
Elizabeth Whitworth Canada
Hourieh Khalajzadeh Australia
Nayan B. Ruparelia United States
Bruce I. Blum United States
Karen Myers United States
Jennifer Sampson relative to A.M. Davis United States A.M. Davis's profile →
Citations per field
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A.M. Davis · 1×
Citations per year

Countries citing papers authored by Jennifer Sampson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Sampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Sampson

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Sampson. A scholar is included among the top collaborators of Jennifer Sampson 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 Jennifer Sampson. Jennifer Sampson 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 2
2 0
3 2
4 4
5 35
6 24
7 73
8 3
9 23
10 3
11 59
12 15
13
Position paper for W3C Workshop on Semantic Web in Energy Industries; Part I: Oil & Gas
1
14 8
15 30
16 1
17 5
18
Enabling Web Services Composition with Softward Agents.
14
19 1
20
Critical Appraisal Guidelines for Single Case Study Research
43

About Jennifer Sampson

Jennifer Sampson is a scholar working on Management Information Systems, Artificial Intelligence and Information Systems, having authored 20 papers that have together received 346 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Service-Oriented Architecture and Web Services (4 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Management Information Systems (67 citations), Software (28 citations) and Information Systems (162 citations). Jennifer Sampson has collaborated with scholars based in Australia, Norway and Austria. Frequent co-authors include June Verner, Narciso Cerpa, Barbara Kitchenham, Jennifer Fleming, Ben Turner, Petrea Cornwell, Yannick Naudet, Thibaud Latour, Mihhail Matskin and Jinghai Rao. Their work appears in journals such as Journal of the Association for Information Systems, BMJ Open and Journal of Knowledge Management.

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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