Edward Munnich

528 citations
13 papers · 263 indexed · h-index 10
Topics
Categorization, perception, and language (4 papers)Language, Metaphor, and Cognition (3 papers)Decision-Making and Behavioral Economics (3 papers)
Partner nations
United StatesIreland

In The Last Decade

Edward Munnich

13 papers receiving 231 citations

Peers

Edward Munnich
Comparison fields: 5 of 44
  • Experimental and Cognitive Psychology 162
  • Developmental and Educational Psychology 59
  • Automotive Engineering 50
  • Language and Linguistics 41
  • Cognitive Neuroscience 34
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Countries citing papers authored by Edward Munnich

Since Specialization
Citations

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

Fields of papers citing papers by Edward Munnich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Munnich

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 13
2 21
3
Can Causal Sense-Making Benefit Foresight, Rather than Biasing Hindsight?
1
4
Triangulating Surprise: Expectations, Uncertainty, and Making Sense
1
5 23
6
Designing and assessing numeracy training for journalists: toward improving quantitative reasoning among media consumers
14
7
Surprise, Surprise: The Role of Surprising Numerical Feedback in Belief Change
14
8
The Longevities of Policy-Shifts and Memories Due to Single Feedback Numbers
9
9
Numerically-Driven Inferencing in Instruction: The Relatively Broad Transfer of Estimation Skills
11
10
Policy Shift Through Numerically-Driven Inferencing: An EPIC Experiment About When Base Rates Matter
9
11 32
12 106
13
The representation of space and spatial language: challenges for cognitive science
9

About Edward Munnich

Edward Munnich is a scholar working on General Decision Sciences, Experimental and Cognitive Psychology and Statistics and Probability, having authored 13 papers that have together received 263 indexed citations. Recurring topics across this work include Categorization, perception, and language (4 papers), Language, Metaphor, and Cognition (3 papers) and Decision-Making and Behavioral Economics (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (162 citations), General Decision Sciences (11 citations) and Developmental and Educational Psychology (59 citations). Edward Munnich has collaborated with scholars based in United States and Ireland. Frequent co-authors include Barbara Landau, Barbara Anne Dosher, Michael Ranney, Mark T. Keane, Noli Brazil, Patricia Schänk, Luke Rinne, Luke Miratrix, Louise Yarnall and Rebecca Maguire. Their work appears in journals such as Cognition, Cognitive Science and Topics in Cognitive Science.

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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