Gerhard Dikta

494 citations
25 papers · 353 · h-index 9

Impact in

Papers in

    • Statistical Methods and Inference 12
    • Statistical Distribution Estimation and Applications 7
    • Statistical Methods and Bayesian Inference 4
    • Advanced Causal Inference Techniques 3
    • Advanced Statistical Methods and Models 1
    • Bayesian Methods and Mixture Models 6

Gerhard Dikta

23 papers receiving 338 citations

Peers

Gerhard Dikta
Comparison fields: 5 of 84
  • Statistics and Probability 151
  • Statistics, Probability and Uncertainty 32
  • Artificial Intelligence 40
  • Molecular Biology 76
  • Control and Systems Engineering 25
Replace Carlos Tenreiro with:
Carlos Tenreiro Portugal
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Ursula U. Müller United States
Clare A. McGrory Australia
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Gerhard Dikta relative to Carlos Tenreiro Portugal Carlos Tenreiro's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gerhard Dikta

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Dikta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gerhard Dikta, 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 Gerhard Dikta Line = papers co-authored together Gerhard Dikta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004100
2 199866
3 200737
4 200628
5 200018
6 200915
7 201211
8 200310
9 19959
10 20128
11 20096
12
Hemorheology and walking of peripheral arterial occlusive diseases patients during treatment with Ginkgo biloba extract.
19985
13 20215
14 20015
15 20094
16 20134
17 20074
18 19904
19 19904
20 20163

About Gerhard Dikta

Gerhard Dikta is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Surgery and Molecular Biology, having authored 25 papers that have together received 353 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Statistical Distribution Estimation and Applications (7 papers), Bayesian Methods and Mixture Models (6 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Causal Inference Techniques (3 papers), Probabilistic and Robust Engineering Design (3 papers), Stochastic processes and financial applications (2 papers) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Statistics and Probability (151 citations), Statistics, Probability and Uncertainty (32 citations), Artificial Intelligence (40 citations), Molecular Biology (76 citations) and Control and Systems Engineering (25 citations). Gerhard Dikta has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Ralf Takors, Christian Schmidt, Andreas Pfützner, Thomas Först, J. K. Ghorai, C Hohberg, Marsel Scheer, Thomas Schöndorf, Efstratios Karagiannis and G Lübben. Their work appears in journals such as Journal of Statistical Planning and Inference, Journal of Multivariate Analysis, European Biophysics Journal, Journal of the American Statistical Association and Computational Statistics & Data Analysis.

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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