# IEEE Transactions on Visualization and Computer Graphics

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/ieee-transactions-on-visualization-and-computer-graphics/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1077-2626 |
| ISSNs | 1077-2626,1941-0506,2160-9306 |
| OpenAlex ID | https://openalex.org/S84775595 |
| Publisher | Institute of Electrical and Electronics Engineers |

## Journal papers

- [Improving contact realism through event-based haptic feedback](https://scholariq.org/papers/improving-contact-realism-through-event-based-haptic-feedback/)
- [Identification of Spring Parameters for Deformable Object Simulation](https://scholariq.org/papers/identification-of-spring-parameters-for-deformable-object-simulation/)
- [Neurophysiological and Subjective Analysis of VR Emotion Induction Paradigm](https://scholariq.org/papers/neurophysiological-and-subjective-analysis-of-vr-emotion-induction-paradigm/)
- [Adaptive Space Warping to Enhance Passive Haptics in an Arthroscopy Surgical Simulator](https://scholariq.org/papers/adaptive-space-warping-to-enhance-passive-haptics-in-an-arthroscopy-surgical/)
- [Adaptive Light Estimation using Dynamic Filtering for Diverse Lighting Conditions](https://scholariq.org/papers/adaptive-light-estimation-using-dynamic-filtering-for-diverse-lighting/)
- [Reconstructing Reflection Maps Using a Stacked-CNN for Mixed Reality Rendering](https://scholariq.org/papers/reconstructing-reflection-maps-using-a-stacked-cnn-for-mixed-reality-rendering/)
- [Texture Mapping with Hard Constraints Using Warping Scheme](https://scholariq.org/papers/texture-mapping-with-hard-constraints-using-warping-scheme/)
- [Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments](https://scholariq.org/papers/audio-visual-olfactory-resource-allocation-for-tri-modal-virtual-environments/)
- [ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories](https://scholariq.org/papers/manuknowvis-how-to-support-different-user-groups-in-contextualizing-and/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.