Elin K. Jacob
- Artificial Intelligence top 10%
- Information Systems top 5%
- Sociology and Political Science
- Communication top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Debora ShawHanne AlbrechtsenYing DingErjia YanSchubert FooPatrick DawsonCarol A. HertGuo Freeman
- Topics
- Semantic Web and Ontologies (10 papers)Complex Network Analysis Techniques (4 papers)Natural Language Processing Techniques (4 papers)
- Partner nations
- United StatesAustriaSingapore
In The Last Decade
Elin K. Jacob
30 papers receiving 431 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 179
- Information Systems 177
- Sociology and Political Science 94
- Communication 60
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Elin K. Jacob
This map shows the geographic impact of Elin K. Jacob'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 Elin K. Jacob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elin K. Jacob more than expected).
Fields of papers citing papers by Elin K. Jacob
This network shows the impact of papers produced by Elin K. Jacob. 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 Elin K. Jacob. The network helps show where Elin K. Jacob may publish in the future.
Co-authorship network of co-authors of Elin K. Jacob
This figure shows the co-authorship network connecting the top 25 collaborators of Elin K. Jacob. A scholar is included among the top collaborators of Elin K. Jacob 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 Elin K. Jacob. Elin K. Jacob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Understanding boundaries: physical, epistemological and virtual dimensions. | 4 |
| 2 | 4 | |
| 3 | Semi-supervised learning for identifying opinions in web content | 0 |
| 4 | 35 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | Toward a theory of structure in information organization frameworks | 1 |
| 11 | 0 | |
| 12 | Classification and Categorization: A Difference that Makes a Difference | 138 |
| 13 | Organizing the Web: Semi-Automatic Construction of a Faceted Scheme. | 5 |
| 14 | The Best of Both Worlds: A Hybrid Approach to the Construction of Faceted Vocabularies | 1 |
| 15 | 27 | |
| 16 | When essence becomes function: post-structuralist implications for an ecological theory of organisational classification systems | 8 |
| 17 | The dynamics of classification systems as boundary objects for cooperation in the electronic library | 43 |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 18 |
About Elin K. Jacob
Elin K. Jacob is a scholar working on Library and Information Sciences, Information Systems and Artificial Intelligence, having authored 32 papers that have together received 526 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Complex Network Analysis Techniques (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Library and Information Sciences (16 citations), Communication (60 citations) and Information Systems (177 citations). Elin K. Jacob has collaborated with scholars based in United States, Austria and Singapore. Frequent co-authors include Debora Shaw, Hanne Albrechtsen, Ying Ding, Erjia Yan, Schubert Foo, Patrick Dawson, Carol A. Hert, Guo Freeman, Staša Milojević and Ioan Toma. Their work appears in journals such as Scientometrics, Information Processing & Management and Journal of Documentation.
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.