Martin J. Wolfsegger

843 total citations
38 papers, 638 citations indexed

About

Martin J. Wolfsegger is a scholar working on Statistics and Probability, Management Science and Operations Research and Hematology. According to data from OpenAlex, Martin J. Wolfsegger has authored 38 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 14 papers in Management Science and Operations Research and 13 papers in Hematology. Recurrent topics in Martin J. Wolfsegger's work include Statistical Methods in Clinical Trials (18 papers), Optimal Experimental Design Methods (14 papers) and Hemophilia Treatment and Research (11 papers). Martin J. Wolfsegger is often cited by papers focused on Statistical Methods in Clinical Trials (18 papers), Optimal Experimental Design Methods (14 papers) and Hemophilia Treatment and Research (11 papers). Martin J. Wolfsegger collaborates with scholars based in Austria, United Kingdom and United States. Martin J. Wolfsegger's co-authors include Thomas Jaki, Friedrich Scheiflinger, Peter Allacher, Frank Horling, Hans Peter Schwarz, Andreas Tiede, Christoph Male, Jerzy Windyga, Christoph J. Hofbauer and Birgit M. Reipert and has published in prestigious journals such as Blood, Biometrics and American Journal of Obstetrics and Gynecology.

In The Last Decade

Martin J. Wolfsegger

38 papers receiving 624 citations

Peers

Martin J. Wolfsegger
Comparison fields: 5 of 98
  • Hematology 285
  • Immunology 168
  • Statistics and Probability 97
  • Molecular Biology 88
  • Genetics 77
Replace L. Xiao with:
L. Xiao United States
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Rhonda Porche-Sorbet United States
Xiaoming Zou China
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Citations per field, relative to Martin J. Wolfsegger
Martin J. Wolfsegger · 1×
Citations per year, relative to Martin J. Wolfsegger
Martin J. Wolfsegger · 1×

Countries citing papers authored by Martin J. Wolfsegger

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. Wolfsegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin J. Wolfsegger. 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 Martin J. Wolfsegger. The network helps show where Martin J. Wolfsegger may publish in the future.

Co-authorship network of co-authors of Martin J. Wolfsegger

This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Wolfsegger. A scholar is included among the top collaborators of Martin J. Wolfsegger 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 Martin J. Wolfsegger. Martin J. Wolfsegger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 4
3 3
4 3
5 11
6 5
7 16
8 4
9 3
10 4
11 136
12 98
13 21
14 14
15 20
16 6
17 26
18 20
19 16
20 22

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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