Alvitta Ottley
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science
- Cognitive Neuroscience
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Remco ChangR. Jordan CrouserEvan M. PeckCaroline ZiemkiewiczLane HarrisonBeste F. YukselRoman GarnettRonald Metoyer
- Topics
- Data Visualization and Analytics (27 papers)Video Analysis and Summarization (10 papers)Multimedia Communication and Technology (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionInformation Systems and Management
- Journals
- IEEE Transactions on Visualization and Computer GraphicsComputer Graphics ForumIEEE Computer Graphics and Applications
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Alvitta Ottley
37 papers receiving 693 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 486
- Artificial Intelligence 215
- Sociology and Political Science 112
- Cognitive Neuroscience 78
- Experimental and Cognitive Psychology 77
Countries citing papers authored by Alvitta Ottley
This map shows the geographic impact of Alvitta Ottley'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 Alvitta Ottley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alvitta Ottley more than expected).
Fields of papers citing papers by Alvitta Ottley
This network shows the impact of papers produced by Alvitta Ottley. 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 Alvitta Ottley. The network helps show where Alvitta Ottley may publish in the future.
Co-authorship network of co-authors of Alvitta Ottley
This figure shows the co-authorship network connecting the top 25 collaborators of Alvitta Ottley. A scholar is included among the top collaborators of Alvitta Ottley 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 Alvitta Ottley. Alvitta Ottley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 35 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 62 | |
| 14 | 5 | |
| 15 | 31 | |
| 16 | 5 | |
| 17 | 43 | |
| 18 | 35 | |
| 19 | 69 | |
| 20 | 42 |
About Alvitta Ottley
Alvitta Ottley is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and General Decision Sciences, having authored 37 papers that have together received 725 indexed citations. Recurring topics across this work include Data Visualization and Analytics (27 papers), Video Analysis and Summarization (10 papers) and Multimedia Communication and Technology (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (486 citations), Human-Computer Interaction (77 citations) and Information Systems and Management (75 citations). Alvitta Ottley has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Remco Chang, R. Jordan Crouser, Evan M. Peck, Caroline Ziemkiewicz, Lane Harrison, Beste F. Yuksel, Roman Garnett, Ronald Metoyer, Paul K. J. Han and Robert J. K. Jacob. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and IEEE Computer Graphics and Applications.
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.