Maria E. Calzada

431 citations
22 papers · 367 · h-index 9

Impact in

Papers in

Maria E. Calzada

18 papers receiving 354 citations

Peers

Maria E. Calzada
Comparison fields: 5 of 48
  • Statistics, Probability and Uncertainty 301
  • Medical Laboratory Technology 42
  • Statistics and Probability 144
  • Management Science and Operations Research 48
  • Control and Systems Engineering 84
Replace Gustavo L. Gilardoni with:
Gustavo L. Gilardoni Brazil
Walid Abu‐Dayyeh Jordan
Niels Jensen Denmark
K. Rosaiah India
B. Yu. Lemeshko Russia
Ajit Chaturvedi India
Shu-Fei Wu Taiwan
Kenneth S. Kaminsky United States
Zhengcheng Zhang China
Sang Wook Chung South Korea
Maria E. Calzada relative to Gustavo L. Gilardoni Brazil Gustavo L. Gilardoni's profile →
Citations per field
00.5×10.5×
Gustavo L. Gilardoni · 1×
Citations per year

Countries citing papers authored by Maria E. Calzada

Since Specialization
Citations

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

Fields of papers citing papers by Maria E. Calzada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria E. Calzada. 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 Maria E. Calzada. The network helps show where Maria E. Calzada may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011119
2 200150
3 200946
4 201332
5 200323
6 201218
7 201115
8 200315
9 200712
10 20128
11 20037
12 20146
13 20046
14
The Role of the Graphing Calculator in the Basic Skills Mathematics Curriculum
19943
15
Contrasting Total Least Squares with Ordinary Least Squares Part II: Examples and Comparisons
20032
16 19992
17
Three Perspectives on Teaching Least Squares.
20041
18 20041
19 20111
20 20070

About Maria E. Calzada

Maria E. Calzada is a scholar working on Statistics, Probability and Uncertainty, Spectroscopy, Statistics and Probability, Atomic and Molecular Physics, and Optics and Management Science and Operations Research, having authored 22 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (11 papers), Scientific Measurement and Uncertainty Evaluation (9 papers), Spectroscopy and Laser Applications (5 papers), Advanced Fiber Laser Technologies (4 papers), Optimal Experimental Design Methods (4 papers), Advanced Statistical Methods and Models (3 papers), Statistics Education and Methodologies (2 papers) and Combustion and flame dynamics (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (301 citations), Medical Laboratory Technology (42 citations), Statistics and Probability (144 citations), Management Science and Operations Research (48 citations) and Control and Systems Engineering (84 citations). Maria E. Calzada has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Stephen M. Scariano, C. C. Harb, T. G. Spence, Ian R. Petersen, Abhijit G. Kallapur, K. Paul Kirkbride, David S. Moore, Gemai Chen, Dylan Rittman and Thomas G. Spence. Their work appears in journals such as Optics Express, Mathematics and Computers in Simulation, Journal of Statistical Computation and Simulation, Quality Technology & Quantitative Management and Quality Engineering.

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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