I. Vincze

17 papers receiving 635 citations

Hit Papers

Statistical Inference under Order Restrictions (The Theor...19732026199020081973100200300400500

Peers

I. Vincze
Comparison fields: 5 of 143
  • Statistics and Probability 347
  • Management Science and Operations Research 166
  • Artificial Intelligence 138
  • Statistics, Probability and Uncertainty 76
  • Economics and Econometrics 57
Replace W. R. van Zwet with:
W. R. van Zwet Netherlands
Lewis H. Shoemaker United States
Leo A. Aroian United States
V. P. Chistyakov Russia
Michael Evans Canada
Yi‐Ching Yao United States
Edward Silverman United States
Harold Ruben Canada
Herbert A. David United States
Jack Carl Kiefer United States
I. Vincze relative to W. R. van Zwet Netherlands W. R. van Zwet's profile →
Citations per field
00.5×1.5×
W. R. van Zwet · 1×
Citations per year

Countries citing papers authored by I. Vincze

Since Specialization
Citations

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

Fields of papers citing papers by I. Vincze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Vincze

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 14
2 4
3
Modelling industrial new orders using surveys
1
4 2
5 1
6 0
7 6
8 2
9 5
10 9
11 3
12 0
13
Progress in statistics
54
14
Mathematical methods of statistical quality control
20
15
Statistical Inference under Order Restrictions (The Theory and Application of Isotonic Regression)breakdown →
577
16 4
17
Studies in mathematical statistics : theory and applications
2
18
On Some Questions Connected with Two-Sample Tests of Smirnov Type
2
19
On Two-sample Tests Based on Order Statistics
10

About I. Vincze

I. Vincze is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Economics, Econometrics and Finance, having authored 19 papers that have together received 716 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (4 papers), Monetary Policy and Economic Impact (3 papers) and Functional Equations Stability Results (2 papers). The work is most often cited by research in Statistics and Probability (347 citations), Management Science and Operations Research (166 citations) and Statistics, Probability and Uncertainty (76 citations). I. Vincze has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include J. M. Bremner, D. J. Bartholomew, H. D. Brunk, Wolfgang Wertz, George Csordás, Z. W. Birnbaum, Richard S. Varga, Gabe de Bondt, Endre Csáki and James J. Murphy. Their work appears in journals such as Biometrics, The Annals of Statistics and Journal of Mathematical Analysis and Applications.

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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