Philip A. Ebert

506 citations
27 papers · 200 indexed · h-index 9

Philip A. Ebert

24 papers receiving 186 citations

Peers

Philip A. Ebert
Comparison fields: 5 of 69
  • Theoretical Computer Science 18
  • History and Philosophy of Science 47
  • Philosophy 62
  • Experimental and Cognitive Psychology 71
  • General Decision Sciences 8
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Countries citing papers authored by Philip A. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Ebert. 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 Philip A. Ebert. The network helps show where Philip A. Ebert may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Philip A. Ebert, 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 Philip A. Ebert Line = papers co-authored together Philip A. Ebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20228
2 20226
3 20215
4 201917
5 20186
6 201720
7 201610
8 20165
9 20153
10 20153
11 20153
12
Know Your Own Competence
20151
13
Basic laws of arithmetic : derived using concept-script : Volumes I & II
201314
14
Bayes' beacon: avalanche prediction, competence and evidence for competence. Modelling the effect of competent and incompetent predictions of highly improbable events
20131
15 20138
16 20123
17
What mathematical knowledge could not be
20071
18
What is the Purpose of Neo-Logicism ?
20070
19 20070
20 200512

About Philip A. Ebert

Philip A. Ebert is a scholar working on Theoretical Computer Science, General Decision Sciences, Experimental and Cognitive Psychology, Philosophy and History and Philosophy of Science, having authored 27 papers that have together received 200 indexed citations. Recurring topics across this work include Philosophy and Theoretical Science (12 papers), Epistemology, Ethics, and Metaphysics (5 papers), Logic, Reasoning, and Knowledge (4 papers), Landslides and related hazards (4 papers), Adventure Sports and Sensation Seeking (4 papers), Decision-Making and Behavioral Economics (3 papers), History and Theory of Mathematics (3 papers) and Science and Climate Studies (2 papers). The work is most often cited by research in Theoretical Computer Science (18 citations), History and Philosophy of Science (47 citations), Philosophy (62 citations), Experimental and Cognitive Psychology (71 citations) and General Decision Sciences (8 citations). Philip A. Ebert has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Ian Durbach, Martin Smith, Peter Milne, Roy T. Cook, Stewart Shapiro, Michael Beaney, Michael Morreau, Gottlob Frege and Theoni Photopoulou. Their work appears in journals such as Philosophia Mathematica, Philosophy and Phenomenological Research, History and Philosophy of Logic, The British Journal for the Philosophy of Science and Philosophical 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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