Daniel N. Osherson

9.1k citations
140 papers · 4.7k indexed · 1 hit paper · h-index 38

Daniel N. Osherson

136 papers receiving 4.3k citations

Hit Papers

Category-based induction.5281990202620022014100200300400500

Peers

Daniel N. Osherson
Comparison fields: 5 of 146
  • General Decision Sciences 756
  • Developmental and Educational Psychology 1.2k
  • History and Philosophy of Science 288
  • Artificial Intelligence 2.0k
  • Cognitive Neuroscience 1.1k
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Citations per year

Countries citing papers authored by Daniel N. Osherson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel N. Osherson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel N. Osherson. 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 Daniel N. Osherson. The network helps show where Daniel N. Osherson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel N. Osherson, 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 Daniel N. Osherson Line = papers co-authored together Daniel N. Osherson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Feature Ratings and Empirical Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity Judgments.
20180
2 201489
3 201215
4
Detecting deviations from randomness
20111
5
False Consensus Bias in Contract Interpretation
20085
6 200466
7
Eliminating Incoherence from Subjective Estimates of Chance.
20029
8
Logic and learning
19941
9 199420
10
New directions in automated scientific discovery
19914
11
Joshua Stern, Ormond Wilkie, Michael Stob, Edward E. Smith: Default Probability.
199121
12 19902
13
Visual cognition and action (vol.2): an invitation to cognitive science
199011
14
Thinking (vol. 3): an invitation to cognitive science
19903
15
Language (vol.1): an invitation to cognitive science
19902
16 19891
17 19889
18 198619
19
Formal theories of language acquisition: practical and theoretical perspectives
19833
20 197641

About Daniel N. Osherson

Daniel N. Osherson is a scholar working on General Decision Sciences, Artificial Intelligence, Developmental and Educational Psychology, Computational Theory and Mathematics and Cognitive Neuroscience, having authored 140 papers that have together received 4.7k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (28 papers), Machine Learning and Algorithms (25 papers), Bayesian Modeling and Causal Inference (25 papers), Computability, Logic, AI Algorithms (22 papers), Child and Animal Learning Development (18 papers), Algorithms and Data Compression (14 papers), Advanced Text Analysis Techniques (11 papers) and Forecasting Techniques and Applications (10 papers). The work is most often cited by research in General Decision Sciences (756 citations), Developmental and Educational Psychology (1.2k citations), History and Philosophy of Science (288 citations), Artificial Intelligence (2.0k citations) and Cognitive Neuroscience (1.1k citations). Daniel N. Osherson has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Edward E. Smith, Scott Weinstein, Michael Stob, Eldar Shafir, Martin M. Monti, Alejandro López, Lawrence M. Parsons, Nicolao Bonini, Katya Tentori and Sanjay K. Jain. Their work appears in journals such as Cognition, Cognitive Science, Journal of Philosophical Logic, Journal of Symbolic Logic and Journal of Mathematical Psychology.

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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