Gerhard Dikta

491 citations
25 papers · 350 · 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
    • Bayesian Methods and Mixture Models 6

Gerhard Dikta

23 papers receiving 335 citations

Peers

Gerhard Dikta
Comparison fields: 5 of 94
  • Statistics and Probability 151
  • Statistics, Probability and Uncertainty 33
  • Endocrinology, Diabetes and Metabolism 29
  • Artificial Intelligence 41
  • Molecular Biology 86
Replace Carlos Tenreiro with:
Carlos Tenreiro Portugal
Ganggang Xu United States
Sangin Lee South Korea
Yong He China
Dan Anbar United States
Kanta Naito Japan
David J. Gallacher Belgium
Danna Zhang China
Monica Chiogna Italy
Lucy L. Gao Canada
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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 200736
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 20015
14 19904
15 20134
16 20214
17 20074
18 19904
19 20163
20 20123

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 350 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), Diabetes Management and Research (2 papers) and Stochastic processes and financial applications (2 papers). The work is most often cited by research in Statistics and Probability (151 citations), Statistics, Probability and Uncertainty (33 citations), Endocrinology, Diabetes and Metabolism (29 citations), Artificial Intelligence (41 citations) and Molecular Biology (86 citations). Gerhard Dikta has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Ralf Takors, Christian Schmidt, J. K. Ghorai, Andreas Pfützner, C Hohberg, Thomas Först, Thomas Schöndorf, G Lübben, Wilfried Dänschel and Marsel Scheer. Their work appears in journals such as Journal of Statistical Planning and Inference, Journal of Multivariate Analysis, Journal of Diabetes Science and Technology, Journal of Clinical Monitoring and Computing and Atherosclerosis.

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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