Karl Gyllstrom
- Information Systems top 5%
- Artificial Intelligence
- Information Systems and Management top 10%
- Human-Computer Interaction top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Diane KellyMarie‐Francine MoensCraig A. N. SoulesDavid StottsAlistair VeitchXi NiuAmber L. CushingElin Rønby Pedersen
- Topics
- Information Retrieval and Search Behavior (9 papers)Personal Information Management and User Behavior (7 papers)Usability and User Interface Design (6 papers)
- Journals
- Lecture notes in computer sciencePure Amsterdam UMCLirias (KU Leuven)
- Partner nations
- United StatesBelgiumNetherlands
In The Last Decade
Karl Gyllstrom
23 papers receiving 251 citations
Peers
Comparison fields: 5 of 43
- Information Systems 176
- Artificial Intelligence 64
- Information Systems and Management 48
- Human-Computer Interaction 48
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Karl Gyllstrom
This map shows the geographic impact of Karl Gyllstrom'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 Karl Gyllstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Gyllstrom more than expected).
Fields of papers citing papers by Karl Gyllstrom
This network shows the impact of papers produced by Karl Gyllstrom. 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 Karl Gyllstrom. The network helps show where Karl Gyllstrom may publish in the future.
Co-authorship network of co-authors of Karl Gyllstrom
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Gyllstrom. A scholar is included among the top collaborators of Karl Gyllstrom 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 Karl Gyllstrom. Karl Gyllstrom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | Clash of the typings: finding controversies and children's topics within queries | 7 |
| 6 | 11 | |
| 7 | 2 | |
| 8 | Not gone, but forgotten: Helping users re-find web pages by identifying those which are most likely to be lost | 1 |
| 9 | 18 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 78 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 20 |
About Karl Gyllstrom
Karl Gyllstrom is a scholar working on Human-Computer Interaction, Information Systems and Management and Information Systems, having authored 23 papers that have together received 275 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (9 papers), Personal Information Management and User Behavior (7 papers) and Usability and User Interface Design (6 papers). The work is most often cited by research in Human-Computer Interaction (48 citations), Information Systems (176 citations) and Information Systems and Management (48 citations). Karl Gyllstrom has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Diane Kelly, Marie‐Francine Moens, Craig A. N. Soules, David Stotts, Alistair Veitch, Xi Niu, Amber L. Cushing, Elin Rønby Pedersen, Arjen P. de Vries and Shreya Shankar. Their work appears in journals such as Lecture notes in computer science, Pure Amsterdam UMC and Lirias (KU Leuven).
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.