Jason Teutsch

708 citations
22 papers · 227 indexed · h-index 6
Topics
Computability, Logic, AI Algorithms (17 papers)semigroups and automata theory (11 papers)Algorithms and Data Compression (9 papers)

In The Last Decade

Jason Teutsch

22 papers receiving 219 citations

Peers

Jason Teutsch
Comparison fields: 5 of 33
  • Information Systems 156
  • Artificial Intelligence 105
  • Computer Networks and Communications 66
  • Computational Theory and Mathematics 64
  • Statistics and Probability 23
Replace Raghav Kulkarni with:
Raghav Kulkarni India
Ronny Kohavi United Kingdom
Mohona Ghosh India
Jean-Marc Vincent France
Ranjit Kumaresan United States
Boutheina Ben Yaghlane Tunisia
Naoto Ohsaka Japan
Rao Mikkilineni United States
Marinus Pennings United States
Mark G. Kelly United Kingdom
Jason Teutsch relative to Raghav Kulkarni India Raghav Kulkarni's profile →
Citations per field
00.5×2.6×
Raghav Kulkarni · 1×
Citations per year

Countries citing papers authored by Jason Teutsch

Since Specialization
Citations

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

Fields of papers citing papers by Jason Teutsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Teutsch

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
SMART POOL : Practical Decentralized Pooled Mining.
45
2 1
3 4
4 4
5 5
6 2
7 9
8 2
9 2
10 3
11
Short lists for shorter programs in short time
3
12 2
13 1
14 6
15 1
16 3
17 5
18 6
19 5
20 4

About Jason Teutsch

Jason Teutsch is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Artificial Intelligence, having authored 22 papers that have together received 227 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (17 papers), semigroups and automata theory (11 papers) and Algorithms and Data Compression (9 papers). The work is most often cited by research in Information Systems (156 citations), Computational Theory and Mathematics (64 citations) and Artificial Intelligence (105 citations). Jason Teutsch has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Prateek Saxena, Loi Luu, Raghav Kulkarni, Frank Stephan, Yaron Velner, Marius Zimand, G. J. Clark, Sanjay Jain, Laurent Bienvenu and Trent Jaeger. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Journal of Symbolic Logic.

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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