Video streaming and multimedia systems researcher at Klagenfurt; h-index 39, 112 works in the past three years
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
—
works · OpenAlex
39
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-14) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
No output score is computed for this profile. This axis would aggregate total and per-year publication counts into a productivity measure; the underlying score is not yet available in the radar data, so no estimate is offered here.
Impact—
No impact score is available for this axis. It would capture citation-based influence, including citation counts, h-index trajectory, and per-work reach, but the required computation is not yet present in this profile, so no value is reported.
Focus0/100
This axis scores 0, reflecting an even split in the field distribution: 50% multimedia computing (video streaming and generative computer vision) and 50% multimedia systems / video coding. The two labels are closely related, yet the balanced distribution lowers measured concentration. Topic data shows stronger clustering: image and video quality assessment (307 works) and video coding and compression (213) lead five recorded topic clusters.
Collaboration32/100
Collaboration scores 32, based on a recent window with only 4 distinct co-authors recorded. Recurring partners include Emanuele Artioli, Farzad Tashtarian, Daniele Lorenzi, and Shivi Vats, suggesting a compact, stable working group around the University of Klagenfurt's streaming research rather than a large rotating network.
Activity100/100
Activity scores 100. The record shows 112 works in the most recent three years, and per-year counts remain high late in the series: 44 works in 2024, 39 in 2025, and 29 already in 2026, after an all-series peak of 48 in 2022. Output has been continuous since 2003, with no gap years in the provided counts.
Reproducibility60/100
Reproducibility scores 60 (reproMean), computed from the 2 papers reviewed in the Evolve catalog. Readiness differs sharply between them: the PRESLEY perceptual-refinement paper is rated high, with rigorous statistics and honestly stated limits, while GenStream is rated low, being only partially built with unquantified components.
Research summary
Christian Timmerer is a researcher at the University of Klagenfurt, Austria, profiled here from OpenAlex bibliographic records. His field distribution splits evenly between multimedia computing (video streaming and generative computer vision) and multimedia systems / video coding. The record shows sustained long-run output: an h-index of 39, 159 works with at least ten citations (i10), works recorded every year from 2003 onward, a series peak of 48 works in 2022, and 112 works in the most recent three years. Topic clusters are led by image and video quality assessment (307), video coding and compression technologies (213), multimedia communication (156), caching and content delivery (122), and network traffic and congestion control (118). The two 2026 arXiv papers in the Evolve catalog mark a generative-AI turn: GenStream replaces video with pose and viewpoint metadata and claims over 99.9% bandwidth savings versus HEVC, while PRESLEY applies degradation-and-restoration refinement layers that beat ELVIS at matched rate with rigorous statistics. He appears as last author on both, working with a compact circle of frequent co-authors including Emanuele Artioli, Farzad Tashtarian, Daniele Lorenzi, and Shivi Vats.
Collaboration pattern
Timmerer's recent collaboration footprint is compact: 4 distinct co-authors in the current window, with Emanuele Artioli, Farzad Tashtarian, Daniele Lorenzi, and Shivi Vats the most frequent partners. Both cataloged 2026 papers place him in the last author position without corresponding-author designation, a pattern consistent with senior supervision of a small Klagenfurt-based streaming group rather than large multi-institution consortia.
Research keywords
Highlights
GenStream: pose-and-viewpoint metadata claiming >99.9% bandwidth savings over HEVC
PRESLEY: generative refinement layers beat ELVIS at matched rate
Two decades of recorded output pivoting to generative streaming
Bibliometric counts show works every year from 2003, a peak of 48 works in 2022, and 112 works in the most recent three years, with an h-index of 39 — a record that has moved from classical coding, quality assessment, and delivery topics toward generative-AI streaming in the 2026 catalog entries.
Timeline
- 2003Earliest year in the provided countsByYear record, with 3 works.
- 201229 works recorded, the highest annual count in the first decade of the series.
- 2022Series-wide peak of 48 works in a single year.
- 202444 works recorded; output stays near peak levels alongside 39 works in 2025 and 29 in 2026.
- 2026Two arXiv preprints enter the Evolve catalog, GenStream and the PRESLEY perceptual-refinement paper, both with him as last author.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometric indicators (h-index, i10, per-year counts, topics) come from OpenAlex records only; other databases may differ.
- Output and impact radar axes have no computed scores and are reported as missing, not as zero.
- Only two papers, both 2026 arXiv preprints, are reviewed in the Evolve catalog; qualitative judgments are limited to those reviews.
- Identity is resolved from public bibliographic data anchored to ORCID 0000-0002-0031-5243.