Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Real-Time Tracking via On-line Boosting
2006839 citationsHelmut Gräbner, Michael Grabner et al.profile →
Countries citing papers authored by Helmut Gräbner
Since
Specialization
Citations
This map shows the geographic impact of Helmut Gräbner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Helmut Gräbner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helmut Gräbner more than expected).
This network shows the impact of papers produced by Helmut Gräbner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Helmut Gräbner. The network helps show where Helmut Gräbner may publish in the future.
Co-authorship network of co-authors of Helmut Gräbner
This figure shows the co-authorship network connecting the top 25 collaborators of Helmut Gräbner.
A scholar is included among the top collaborators of Helmut Gräbner based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Helmut Gräbner. Helmut Gräbner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stalder, Severin, Helmut Gräbner, & Luc Van Gool. (2009). Exploring context to learn scene specific object detectors. Lirias (KU Leuven).18 indexed citations
13.
Roth, Peter M., Helmut Gräbner, Christian Leistner, Martin Winter, & Horst Bischof. (2008). Interactive Learning a Person Detector: Fewer Clicks - Less Frustration. 199–210.5 indexed citations
Gräbner, Helmut, Peter M. Roth, Michael Grabner, & Horst Bischof. (2006). Autonomous Learning a Robust Background Model for Change Detection. 39–46.10 indexed citations
16.
Gräbner, Helmut, et al.. (1982). WAMIS: a medical information system. Conception and clinical usage.. PubMed. 10(5-6). 154–69.5 indexed citations
17.
Kolarz, G, et al.. (1976). [X-ray documentation of the anamnesis and physical data in patients with rheumatism within the scope of the medical information system WAMIS].. PubMed. 3(5). 166–70.1 indexed citations
Günther, R, G Kolarz, N Thumb, & Helmut Gräbner. (1976). [The implementation of a computerized documentation system for the evaluation of spa therapy in patients with rheumatoid arthritis (author's transl)].. PubMed. 88(3). 84–1.2 indexed citations
20.
Fellinger, K, N Thumb, W Horak, & Helmut Gräbner. (1973). [Computer documentation on a rheumatism ward].. PubMed. 32(7). 257–71.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.