Matthew Eisner

1.6k citations
4 papers · 936 · 1 hit paper · h-index 3

Impact in

Papers in

Journals
Social Psychology (2 papers)Research portal (Tilburg University) (1 paper)
Partner nations
United StatesNetherlands

In The Last Decade

Matthew Eisner

4 papers receiving 879 citations

Matthew Eisner's Hit Papers

Investigating Variation in Replicability 2014 · 829 citations
8290+4+8Years since publication250500750

Peers

Matthew Eisner
Comparison fields: 5 of 107
  • General Decision Sciences 97
  • Statistics, Probability and Uncertainty 261
  • Applied Psychology 159
  • Experimental and Cognitive Psychology 207
  • History and Philosophy of Science 53
Replace James F. Hovermale with:
James F. Hovermale United States
S. Jane Hunt United States
Jennifer A. Coleman United States
Erika Salomon United States
Walter J. Sowden United States
Anthony J. Nelson United States
William Jiménez‐Leal Colombia
Victor N. Keller United States
Olga Białobrzeska Poland
Matthew Haigh United Kingdom
Matthew Eisner relative to James F. Hovermale United States James F. Hovermale's profile →
Citations per field
00.5×1.5×
James F. Hovermale · 1×
Citations per year

Countries citing papers authored by Matthew Eisner

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Eisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Matthew Eisner, 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 Matthew Eisner Line = papers co-authored together Matthew Eisner links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Matthew Eisner

Matthew Eisner is a scholar working on Experimental and Cognitive Psychology, Applied Psychology, General Decision Sciences, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 936 indexed citations. Recurring topics across this work include Mental Health Research Topics (3 papers), Behavioral Health and Interventions (2 papers), Advanced Causal Inference Techniques (1 paper), Social and Intergroup Psychology (1 paper), Optical measurement and interference techniques (1 paper), Decision-Making and Behavioral Economics (1 paper), Advanced Surface Polishing Techniques (1 paper) and Advanced Measurement and Metrology Techniques (1 paper). The work is most often cited by research in General Decision Sciences (97 citations), Statistics, Probability and Uncertainty (261 citations), Applied Psychology (159 citations), Experimental and Cognitive Psychology (207 citations) and History and Philosophy of Science (53 citations). Matthew Eisner has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Daniel R. Brooks. Their work appears in journals such as Social Psychology and Research portal (Tilburg University).

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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