Michael Stob

1.7k citations
44 papers · 1.2k · h-index 19

Impact in

Papers in

Michael Stob

41 papers receiving 1.1k citations

Peers

Michael Stob
Comparison fields: 5 of 77
  • Computational Theory and Mathematics 874
  • Artificial Intelligence 798
  • Geometry and Topology 120
  • General Decision Sciences 24
  • Statistics and Probability 79
Replace Jonathan Stavi with:
Jonathan Stavi Israel
J.F.A.K. van Benthem Netherlands
J. R. Shoenfield United States
H. B. Enderton United States
Benedikt Löwe Netherlands
Andrzej Mostowski Poland
Krister Segerberg Sweden
Joachim Lambek Canada
R. L. Goodstein United Kingdom
John Etchemendy United States
Michael Stob relative to Jonathan Stavi Israel Jonathan Stavi's profile →
Citations per field
00.5×2×3×4.4×
Jonathan Stavi · 1×
Citations per year

Countries citing papers authored by Michael Stob

Since Specialization
Citations

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

Fields of papers citing papers by Michael Stob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Michael Stob, 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 Michael Stob Line = papers co-authored together Michael Stob links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists
1986399
2 198581
3 199174
4 199059
5 199650
6 198650
7 200041
8 198633
9 198230
10 199329
11 198328
12 198128
13 199126
14 199225
15 198823
16 198820
17
Modular learning
199320
18 198219
19 199419
20 198218

About Michael Stob

Michael Stob is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology, Safety Research and Economics and Econometrics, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (26 papers), semigroups and automata theory (17 papers), Machine Learning and Algorithms (16 papers), Algorithms and Data Compression (10 papers), Advanced Topology and Set Theory (6 papers), Advanced Algebra and Logic (3 papers), Experimental Behavioral Economics Studies (2 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Computational Theory and Mathematics (874 citations), Artificial Intelligence (798 citations), Geometry and Topology (120 citations), General Decision Sciences (24 citations) and Statistics and Probability (79 citations). Michael Stob has collaborated with scholars based in United States, New Zealand and Switzerland. Frequent co-authors include Daniel N. Osherson, Scott Weinstein, Rod Downey, Carl G. Jockusch, Rodney G. Downey, Martin Davis, Julia F. Knight, Edward E. Smith, Wolfgang Maass and Richard A. Shore. Their work appears in journals such as Journal of Symbolic Logic, Cognitive Science, Annals of Pure and Applied Logic, Israel Journal of Mathematics and Transactions of the American Mathematical Society.

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.

Explore authors with similar magnitude of impact