Louise T. Su
- Information Systems top 2%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Sociology and Political Science
- Management Science and Operations Research
- Co-authors
- Dong Xiao-ying
- Topics
- Information Retrieval and Search Behavior (9 papers)Technology Adoption and User Behaviour (3 papers)Web visibility and informetrics (3 papers)
- Journals
- Information Processing & ManagementJournal of the American Society for Information Science and TechnologyJournal of the American Society for Information Science
- Partner nations
- United StatesChileChina
In The Last Decade
Louise T. Su
11 papers receiving 379 citations
Peers
Comparison fields: 5 of 59
- Information Systems 309
- Artificial Intelligence 142
- Information Systems and Management 92
- Sociology and Political Science 75
- Management Science and Operations Research 36
Countries citing papers authored by Louise T. Su
This map shows the geographic impact of Louise T. Su'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 Louise T. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louise T. Su more than expected).
Fields of papers citing papers by Louise T. Su
This network shows the impact of papers produced by Louise T. Su. 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 Louise T. Su. The network helps show where Louise T. Su may publish in the future.
Co-authorship network of co-authors of Louise T. Su
This figure shows the co-authorship network connecting the top 25 collaborators of Louise T. Su. A scholar is included among the top collaborators of Louise T. Su 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 Louise T. Su. Louise T. Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 43 | |
| 3 | Evaluation of Web Search Engines by Undergraduate Students. | 10 |
| 4 | Evaluation of Web-Based Search Engines from the End-User's Perspective: A Pilot Study | 24 |
| 5 | 31 | |
| 6 | 39 | |
| 7 | Value of Search Results as a Whole as a Measure of Information Retrieval Performance. | 2 |
| 8 | 101 | |
| 9 | Is Relevance an Adequate Criterion for Retrieval System Evaluation: An Empirical Inquiry into the User's Evaluation. | 3 |
| 10 | 103 | |
| 11 | An investigation to find appropriate measures for evaluating interactive information retrieval | 20 |
About Louise T. Su
Louise T. Su is a scholar working on Library and Information Sciences, Information Systems and Management and Information Systems, having authored 11 papers that have together received 426 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (9 papers), Technology Adoption and User Behaviour (3 papers) and Web visibility and informetrics (3 papers). The work is most often cited by research in Information Systems (309 citations), Information Systems and Management (92 citations) and Library and Information Sciences (19 citations). Louise T. Su has collaborated with scholars based in United States, Chile and China. Frequent co-authors include Dong Xiao-ying. Their work appears in journals such as Information Processing & Management, Journal of the American Society for Information Science and Technology and Journal of the American Society for Information Science.
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.