Edit Gombay

1.2k citations
46 papers · 820 · h-index 18

Impact in

Papers in

Edit Gombay

44 papers receiving 781 citations

Peers

Edit Gombay
Comparison fields: 5 of 79
  • Statistics and Probability 547
  • Statistics, Probability and Uncertainty 313
  • Finance 273
  • General Economics, Econometrics and Finance 74
  • Management Science and Operations Research 94
Replace Jana Jurečková with:
Jana Jurečková Czechia
Josef Steinebach Germany
Chunming Zhang United States
Davy Paindaveine Belgium
Zhengyan Lin China
Paul Kabaila Australia
Marcelo Bourguignon Brazil
Alexander Samarov United States
Fukang Zhu China
Evdokia Xekalaki Greece
Edit Gombay relative to Jana Jurečková Czechia Jana Jurečková's profile →
Citations per field
00.5×1.6×
Jana Jurečková · 1×
Citations per year

Countries citing papers authored by Edit Gombay

Since Specialization
Citations

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

Fields of papers citing papers by Edit Gombay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Edit Gombay, 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 Edit Gombay Line = papers co-authored together Edit Gombay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200488
2 200764
3 199660
4 200859
5 199453
6 200851
7 199638
8 199036
9 201330
10 201127
11 199923
12 199622
13 199420
14 200020
15 200119
16 199618
17 200217
18 200317
19 199417
20 200015

About Edit Gombay

Edit Gombay is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering, having authored 46 papers that have together received 820 indexed citations. Recurring topics across this work include Statistical Methods and Inference (28 papers), Advanced Statistical Process Monitoring (24 papers), Statistical Methods in Clinical Trials (14 papers), Advanced Statistical Methods and Models (10 papers), Bayesian Methods and Mixture Models (7 papers), Fault Detection and Control Systems (6 papers), Optimal Experimental Design Methods (6 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (547 citations), Statistics, Probability and Uncertainty (313 citations), Finance (273 citations), General Economics, Econometrics and Finance (74 citations) and Management Science and Operations Research (94 citations). Edit Gombay has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Lajos Horváth, I. Berkés, Piotr Kokoszka, Abdulkadir Hussein, Marie Hušková, Konstantinos Fokianos, Stefan H. Steiner, Murray D. Burke, Shuangquan Liu and Miklós Csörgő. Their work appears in journals such as Journal of Multivariate Analysis, Journal of Statistical Planning and Inference, Canadian Journal of Statistics, Environmetrics and Biometrika.

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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