LabCompass

Burkhard Schaffrin

Mathematics · The Ohio State University

Established · publishing since 1974

Publications

99

Citations

2,081

Est. group size

Recurring co-author estimate

Active years

53

Publishing since 1974

Research summary
AI-generated

Burkhard Schaffrin works in mathematical geodesy, developing statistical estimation methods for handling measurement errors and uncertainty in geodetic and surveying data. His work focuses on techniques like total least-squares and Kriging (a spatial prediction method) to improve the accuracy of models used in mapping, positioning, and geophysical measurements. This research is primarily theoretical and methodological, aimed at improving the mathematical tools used by geodesists and surveyors.

Total least-squares estimationErrors-in-variables modelsGeodetic network adjustmentKriging and spatial interpolationStatistical error propagation

Publication output has been low and irregular over the last decade, averaging fewer than one paper per year in the most recent five years, with several years showing no recorded output.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.4/year recently
2017: 1 publication172018: 2 publications2182019: 1 publication192020: 2 publications2202021: 1 publication21222023: 1 publication2324252026: 1 publication26
Recent publications
Publishes in
  • Journal of Applied Geodesy×2
  • International Association of Geodesy symposia×2
  • Studia Geophysica et Geodaetica×1
  • Mathematics×1
  • Acta Geodaetica et Geophysica×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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