Todd C. Riniolo

716 citations
20 papers · 536 indexed · h-index 10
Topics
Advanced Statistical Process Monitoring (3 papers)Statistical Methods and Bayesian Inference (2 papers)Statistics Education and Methodologies (2 papers)
Partner nations
United StatesCanada

In The Last Decade

Todd C. Riniolo

20 papers receiving 486 citations

Peers

Todd C. Riniolo
Comparison fields: 5 of 103
  • Clinical Psychology 165
  • Experimental and Cognitive Psychology 160
  • Cardiology and Cardiovascular Medicine 129
  • Social Psychology 101
  • Education 85
Replace Steven J. Holochwost with:
Steven J. Holochwost United States
Damee Choi Japan
Michael O’Sullivan Ireland
Joyce Whittington United Kingdom
Emma Armstrong‐Carter United States
Bogdan Zawadzki Poland
Pierre Therme France
Luke A. Schneider Australia
Stefan Goetz United States
Benny Salo Finland
Todd C. Riniolo relative to Steven J. Holochwost United States Steven J. Holochwost's profile →
Citations per field
00.5×1.7×
Steven J. Holochwost · 1×
Citations per year

Countries citing papers authored by Todd C. Riniolo

Since Specialization
Citations

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

Fields of papers citing papers by Todd C. Riniolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd C. Riniolo. 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 Todd C. Riniolo. The network helps show where Todd C. Riniolo may publish in the future.

Co-authorship network of co-authors of Todd C. Riniolo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 135
3 11
4 134
5 6
6 9
7 3
8 18
9
Who Would Survive the 'Titanic' Today? A Classroom Exercise.
1
10 3
11 22
12 2
13 50
14 20
15 6
16 6
17 46
18 49
19 9
20 3

About Todd C. Riniolo

Todd C. Riniolo is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Experimental and Cognitive Psychology, having authored 20 papers that have together received 536 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (160 citations), Clinical Psychology (165 citations) and Behavioral Neuroscience (23 citations). Todd C. Riniolo has collaborated with scholars based in United States and Canada. Frequent co-authors include Stephen W. Porges, Louis A. Schmidt, Cynthia A. Stifter, Jane A. Doussard‐Roosevelt, Byron A. Campbell, Nathan A. Fox, Jacob A. Burack, Alison Niccols, Nicole J. Conrad and Olga V. Bazhenova. Their work appears in journals such as Personality and Individual Differences, Psychophysiology and Ergonomics.

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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