Robert Hable

820 citations
47 papers · 497 · h-index 12

Impact in

Papers in

    • Bayesian Modeling and Causal Inference 11
    • Hip disorders and treatments 6
    • Total Knee Arthroplasty Outcomes 5
    • Orthopaedic implants and arthroplasty 5

Robert Hable

41 papers receiving 476 citations

Peers

Robert Hable
Comparison fields: 5 of 105
  • Statistics and Probability 97
  • Health Informatics 14
  • Statistics, Probability and Uncertainty 33
  • Artificial Intelligence 146
  • Computational Mathematics 2
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Nicholas A. James United States
Manish Kumar Pandey India
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Citations per field
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Citations per year

Countries citing papers authored by Robert Hable

Since Specialization
Citations

This map shows the geographic impact of Robert Hable'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 Robert Hable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Hable more than expected).

Fields of papers citing papers by Robert Hable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Hable. 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 Robert Hable. The network helps show where Robert Hable may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert Hable, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Hable Line = papers co-authored together Robert Hable links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201679
2 201140
3 202139
4 201032
5 201431
6 201130
7 201128
8 201528
9 201720
10 201119
11 202514
12 200911
13
Universal consistency of localized versions of regularized kernel methods
201310
14 20089
15 20248
16 20238
17 20158
18 20098
19
Coefficients of ergodicity for imprecise Markov chaines
20097
20 20246

About Robert Hable

Robert Hable is a scholar working on Artificial Intelligence, Surgery, Statistics and Probability, Computational Theory and Mathematics and Management Science and Operations Research, having authored 47 papers that have together received 497 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), Advanced Statistical Methods and Models (7 papers), Fuzzy Systems and Optimization (6 papers), Hip disorders and treatments (6 papers), Total Knee Arthroplasty Outcomes (5 papers), Orthopaedic implants and arthroplasty (5 papers), Multi-Criteria Decision Making (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Statistics and Probability (97 citations), Health Informatics (14 citations), Statistics, Probability and Uncertainty (33 citations), Artificial Intelligence (146 citations) and Computational Mathematics (2 citations). Robert Hable has collaborated with scholars based in Germany, Bulgaria and Slovenia. Frequent co-authors include Andreas Christmann, Thomas Augustin, Michael Ewald, Thorsten Zeppenfeld, Christophe Bonenfant, Björn Reineking, Marco Heurich, Nikolai Ramadanov, Dalibor Fiala and Sabine Lauer. Their work appears in journals such as Knee Surgery Sports Traumatology Arthroscopy, International Journal of Approximate Reasoning, Journal of Orthopaedic Surgery and Research, Journal of Multivariate Analysis and Injury.

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.

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