Hyperspectral & multimodal remote sensing researcher; h-index 79 (OpenAlex), 97 works in the last three years.
3
papers here
1
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
79
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-17) 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—
Not yet scored: the radar lacks the publication-volume indicators this axis requires. Output would measure total works, recent output rate and venue spread; it stays unscored until those bibliographic data are ingested, and no estimate is offered here.
Impact—
Not yet scored: although aggregate indicators (h-index 79, i10-index 220) appear in the snapshot, the citation data needed for this axis were judged insufficient. Impact would measure citedness and its yearly trajectory; no score is estimated here.
Focus100/100
Scores 100/100 for focus: the field distribution assigns this researcher entirely to remote sensing & computer vision, and topic counts concentrate accordingly — Remote-Sensing Image Classification leads with 304 works, ahead of Advanced Neural Network Applications (113), Advanced Image Fusion Techniques (103), Remote Sensing and Land Use (87) and Spectroscopy and Chemometric Analyses (64).
Collaboration62/100
Scores 62/100 for collaboration, drawn from 22 distinct recent co-authors and a recurring partner list that includes Haoran Wang, Jing Yao, Xu Yang, Zeqing Wang, Zhengchao Chen and Elias Arbash. Author positions across the three catalog papers (one last-author, two middle-author) point to a senior contributor embedded in medium-sized teams rather than a very large collaborative web.
Activity100/100
Scores 100/100 for activity: 97 works in the last three years, with yearly counts rising from 6 in 2011 and 9 in 2014 to a 2020 peak of 82, then holding at 39, 41 and 43 across 2022–2024, with 27 already logged for 2026 — a high, sustained and still-continuing publication rate.
Reproducibility55/100
Scores 55/100 for reproducibility, computed from a single reviewed paper (reproPapers: 1) with a mean rating of 55 and medium repro-readiness. Evolve's verdict on that heat-conduction fusion study praised solid ablations but flagged single-run benchmark results and patch-level tuning; with only one paper assessed, this estimate remains preliminary.
Research summary
Pedram Ghamisi is a remote sensing researcher affiliated with the Chinese Academy of Sciences whose OpenAlex record shows a strongly concentrated career in remote sensing and computer vision. The snapshot aggregates an h-index of 79 and an i10-index of 220, with 97 works over the last three years and 22 distinct recent co-authors. Yearly output climbed from single digits in 2011–2014 to a peak of 82 works in 2020 and a sustained 39–43 per year across 2022–2024, with 27 works already recorded for 2026. Topic modelling places Remote-Sensing Image Classification first (304 works), followed by Advanced Neural Network Applications (113), Advanced Image Fusion Techniques (103), Remote Sensing and Land Use (87), and Spectroscopy and Chemometric Analyses (64). The Evolve catalog holds three 2026 arXiv papers: a last-author study extending heat conduction modeling to hyperspectral–LiDAR joint classification — reviewed as achieving the best overall accuracy on three benchmarks, with caveats over single-run results and patch tuning — plus middle-author work on synthetic-trajectory agent distillation with retrieval-augmented fine-tuning and on mid-wave infrared hyperspectral identification of end-of-life industrial plastics. Aggregate indicators exist, but the radar's output and impact axes remain unscored, and reproducibility evidence rests on a single reviewed paper.
Collaboration pattern
The recent record lists 22 distinct co-authors, giving a collaboration score of 62/100. Recurring partners include Haoran Wang, Jing Yao, Xu Yang, Zeqing Wang, Yang Zhang, Zhengchao Chen, Kan Wei, Jiahui Cui, Xinyu Zhao, Lei Wang and Elias Arbash. On the one reviewed 2026 paper Ghamisi appears as last author — typically a senior, supervisory position — while the other two catalog entries place them in the middle of the author list, suggesting contribution within larger team-led projects.
Research keywords
Highlights
Physics-guided heat conduction unites hyperspectral and LiDAR data
Synthetic trajectories distill remote sensing agents
Co-authored 2026 arXiv preprint (SimCRAFT) proposing distillation of remote sensing agents from synthetic trajectories with contextual retrieval-augmented fine-tuning; Ghamisi appears as a middle author, and no Evolve verdict is recorded yet.
Mid-wave infrared imaging for end-of-life plastics
Co-authored 2026 arXiv study (MWIR-4-Plastic) applying mid-wave infrared hyperspectral imaging and machine learning to identify complex end-of-life industrial plastics; Ghamisi is a middle author, with no Evolve verdict recorded yet.
Timeline
- 2011Earliest year in the yearly record: 6 works listed, marking the visible start of the publication trajectory.
- 2017Output steps up to 24 works — repeated in 2018 — roughly doubling the 13 works of 2016.
- 2020Peak year with 82 works recorded, the highest single-year count in the snapshot.
- 2024Sustained high output continues at 43 works, following 39 in 2022 and 41 in 2023.
- 2026Three arXiv papers enter the Evolve catalog, including last-author heat-conduction hyperspectral–LiDAR fusion work; 27 works already counted this year.
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 come from OpenAlex records only; the radar's output and impact axes are unscored because the underlying indicators were judged insufficient.
- Reproducibility (55/100) rests on a single reviewed paper (reproPapers: 1); the other two catalog papers have no Evolve verdict or repro-readiness rating yet.
- Affiliation and country are shown as supplied by the source (Chinese Academy of Sciences; country code IS); identity is name-resolved from public bibliographic data under ORCID 0000-0003-1203-741X.
- The 2026 yearly count (27) covers only part of the year as of the profile date and may change.