Carlos W. Brain

416 citations
15 papers · 281 · h-index 10

Impact in

    • Statistical Distribution Estimation and Applications
    • Advanced Statistical Methods and Models
  • Accounting top 10%
    • Auditing, Earnings Management, Governance
    • Corporate Finance and Governance

Papers in

Carlos W. Brain

15 papers receiving 255 citations

Peers

Carlos W. Brain
Comparison fields: 5 of 91
  • Statistics and Probability 47
  • Accounting 51
  • Finance 38
  • Statistics, Probability and Uncertainty 21
  • General Economics, Econometrics and Finance 16
Replace Mohamed A. Ismail with:
Mohamed A. Ismail Egypt
Eva Ferreira Spain
Erick W. Rengifo United States
Soo‐Bin Park Canada
Jane Xu United Kingdom
Lakhbir S. Hayre United States
Jason R. Blevins United States
Quan Gan Australia
Hatem Ben‐Ameur Canada
Peter B. Morgan United States
Carlos W. Brain relative to Mohamed A. Ismail Egypt Mohamed A. Ismail's profile →
Citations per field
00.5×2.6×
Mohamed A. Ismail · 1×
Citations per year

Countries citing papers authored by Carlos W. Brain

Since Specialization
Citations

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

Fields of papers citing papers by Carlos W. Brain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos W. Brain. 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 Carlos W. Brain. The network helps show where Carlos W. Brain may publish in the future.

Co-authors

The 24 scholars most cited alongside Carlos W. Brain, 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 Carlos W. Brain Line = papers co-authored together Carlos W. Brain links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 198370
2 200445
3 198337
4 200522
5 200020
6 200219
7 201618
8 198114
9 198711
10 19839
11 20027
12 19744
13 19882
14 19822
15 20011

About Carlos W. Brain

Carlos W. Brain is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Artificial Intelligence and Strategy and Management, having authored 15 papers that have together received 281 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (7 papers), Probabilistic and Robust Engineering Design (4 papers), Probability and Risk Models (2 papers), Bayesian Methods and Mixture Models (2 papers), Acute Myeloid Leukemia Research (1 paper), Intellectual Property and Patents (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Innovation Policy and R&D (1 paper). The work is most often cited by research in Statistics and Probability (47 citations), Accounting (51 citations), Finance (38 citations), Statistics, Probability and Uncertainty (21 citations) and General Economics, Econometrics and Finance (16 citations). Carlos W. Brain has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Samuel S. Shapiro, Kenneth S. Most, Andreas Windemuth, Richard Judson, Gualberto Ruaño, Carol R. Reed, Henry G. Grabowski, Raj Mitra, David Burke and David Cella. Their work appears in journals such as Technometrics, Bone Marrow Transplantation, American Journal of Physical Medicine & Rehabilitation, Journal of International Business Studies and American Journal of Health Economics.

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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