Jennifer Sampson

50 total papers · 640 total citations
20 papers, 346 citations indexed

About

Jennifer Sampson is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Jennifer Sampson has authored 20 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Management Information Systems. Recurrent topics in Jennifer Sampson's work include Semantic Web and Ontologies (9 papers), Service-Oriented Architecture and Web Services (4 papers) and Data Visualization and Analytics (4 papers). Jennifer Sampson is often cited by papers focused on Semantic Web and Ontologies (9 papers), Service-Oriented Architecture and Web Services (4 papers) and Data Visualization and Analytics (4 papers). Jennifer Sampson collaborates with scholars based in Norway, Australia and Austria. Jennifer Sampson's co-authors include June Verner, Narciso Cerpa, Vladimir Tošić, Barbara Kitchenham, Ben Turner, Jennifer Fleming, Petrea Cornwell, Jinghai Rao, Yannick Naudet and Sobah Abbas Petersen and has published in prestigious journals such as Journal of the Association for Information Systems, BMJ Open and Journal of Knowledge Management.

In The Last Decade

Jennifer Sampson

19 papers receiving 308 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Sampson 161 114 67 43 42 20 346
Peter A. Freeman 176 1.1× 133 1.2× 44 0.7× 37 0.9× 10 0.2× 20 370
Richard Vdovjak 179 1.1× 197 1.7× 20 0.3× 135 3.1× 25 0.6× 22 337
Łukasz Juszczyk 114 0.7× 57 0.5× 32 0.5× 121 2.8× 28 0.7× 17 313
Anne Kao 132 0.8× 230 2.0× 17 0.3× 13 0.3× 22 0.5× 18 390
Maja Hadzic 93 0.6× 154 1.4× 26 0.4× 34 0.8× 17 0.4× 38 357
Tomasz Włodarczyk 101 0.6× 95 0.8× 22 0.3× 102 2.4× 34 0.8× 36 348
Ishaya Gambo 78 0.5× 48 0.4× 27 0.4× 34 0.8× 15 0.4× 46 299
María Visitación Hurtado 115 0.7× 72 0.6× 49 0.7× 25 0.6× 41 1.0× 35 315
Johannes Heurix 155 1.0× 155 1.4× 38 0.6× 46 1.1× 18 0.4× 25 336
Chong Wang 123 0.8× 94 0.8× 96 1.4× 22 0.5× 68 1.6× 26 391

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

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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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