Norberto Corral

949 citations
46 papers · 658 · h-index 17

Impact in

Papers in

Norberto Corral

43 papers receiving 629 citations

Peers

Norberto Corral
Comparison fields: 5 of 114
  • Statistics and Probability 344
  • Management Science and Operations Research 216
  • Artificial Intelligence 219
  • Statistics, Probability and Uncertainty 47
  • Health Information Management 17
Replace Chin‐Tsang Chiang with:
Chin‐Tsang Chiang Taiwan
Kimberly F. Sellers United States
Shaw‐Hwa Lo United States
L. Kavalieris New Zealand
Rahim Alhamzawi Iraq
Veronika Ročková United States
Diane E. Duffy United States
Pedro Gil Spain
Limin Peng United States
Zheng Yuan United States
Norberto Corral relative to Chin‐Tsang Chiang Taiwan Chin‐Tsang Chiang's profile →
Citations per field
00.5×3.9×
Chin‐Tsang Chiang · 1×
Citations per year

Countries citing papers authored by Norberto Corral

Since Specialization
Citations

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

Fields of papers citing papers by Norberto Corral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Norberto Corral, 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 Norberto Corral Line = papers co-authored together Norberto Corral 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 201158
2 201355
3 200347
4 200747
5 201141
6 198534
7 200826
8 200724
9 198824
10 201223
11 201321
12 201420
13 201918
14 201117
15 201416
16 200216
17 201116
18 200515
19 198915
20 200513

About Norberto Corral

Norberto Corral is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Oncology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 658 indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (13 papers), Multi-Criteria Decision Making (10 papers), Statistical Methods and Inference (9 papers), Fuzzy Logic and Control Systems (8 papers), Genetic and phenotypic traits in livestock (5 papers), Advanced Statistical Methods and Models (5 papers), Imbalanced Data Classification Techniques (5 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Statistics and Probability (344 citations), Management Science and Operations Research (216 citations), Artificial Intelligence (219 citations), Statistics, Probability and Uncertainty (47 citations) and Health Information Management (17 citations). Norberto Corral has collaborated with scholars based in Spain, United States and Chile. Frequent co-authors include Pablo Martínez‐Camblor, Marı́a Ángeles Gil, Gil González‐Rodríguez, Ángela Blanco, Carlos Carleos, Pedro Gil, Ana Colubi, María Rosa Casals, Emilio Esteban and Marı́a Teresa López. Their work appears in journals such as Investigational New Drugs, Journal of Statistical Planning and Inference, International Journal of Approximate Reasoning, Computational Statistics & Data Analysis and Genetics Selection Evolution.

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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