INTÉZETÜNK MUNKATÁRSA, BENEDEK JUDIT AZ “IAG LEGJOBB BÍRÁLÓJA DÍJ 2024” KITÜNTETÉSBEN RÉSZESÜLT

OUR INSTITUTE’S COLLEAGUE, JUDIT BENEDEK, RECEIVED IAG BEST REVIEWER’S AWARD 2024

The IAG BEST REVIEWER’S AWARD (https://geodesy.science/iag/ awards/best-reviewer-award/) is a prestigious international award that has the purpose of officially recognize the important work of excellent reviewing for the Journal of Geodesy in the advancement of geodetic science.

The awardees are selected from the reviewers for the Journal of Geodesy in the preceding two years corresponding to two annual volumes of the Journal. For each two-year period, the Editor-in-Chief of the Journal of Geodesy proposes the three most top candidates to the IAG Executive Committee (EC) based on nominations from the Editorial Board members. Nominations should address and appraise professionalism, fairness, constructiveness, thoroughness, timeliness, realism, and conclusiveness in the candidate’s work as a reviewer for the Journal of Geodesy whose thorough and constructive feedback has significantly enhanced the quality of published research. The IAG EC will make the final decision on the award.

This year, Judit Benedek, researcher at the HUN-REN Institute for Earth Physics and Space Science, received the IAG BEST REVIEWER’S AWARD 2024. which was presented by Dr Richard Gross, President of the IAG, at the Opening Ceremony of the IAG Scientific Assembly 2025 held in Rimini, Italy.

The name, photo, and brief biography of the winner is included in the September issue of the IAG newsletter (https://geodesy.science/2025/iag-awards-2023-2024/).

Judit Benedek, research fellow at HUN-REN FI, has been doing scientific research in the field of measuring and modelling the Earth’s gravitational field since 1996 as a member of the Geodetic Research Unit. She also actively participates in the topic of geodynamic research, with a particular focus on the observatory measurement, interpretation and modelling of surface deformations caused by the gravitational field variation.