Edwin Pednault

2.5k citations
38 papers · 1.3k indexed · h-index 19

Edwin Pednault

36 papers receiving 1.1k citations

Peers

Edwin Pednault
Comparison fields: 5 of 105
  • Artificial Intelligence 757
  • Information Systems 279
  • Software 43
  • Computer Networks and Communications 250
  • Signal Processing 104
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Citations per year

Countries citing papers authored by Edwin Pednault

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Pednault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2
Breaking the 49-Qubit Barrier in the Simulation of Quantum Circuits
20243
3 20238
4 201136
5
CRM Analytics Framework
20090
6 200322
7 20022
8 200019
9 199486
10 199443
11 199334
12
Generalizing nonlinear planning to handle complex goals and actions with context-dependent effects
199123
13
Minimal-Length Encoding and Inductive Inference.
19918
14
Some experiments in applying inductive inference principles to surface reconstruction
198924
15 1989279
16
Extending conventional planning techniques to handle actions with context-dependent effects
198814
17
Inferring probabilistic theories from data
19882
18 19886
19
Toward a mathematical theory of plan synthesis
198734
20
Preliminary Report on a Theory of Plan Synthesis
19855

About Edwin Pednault

Edwin Pednault is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), AI-based Problem Solving and Planning (7 papers), Logic, Reasoning, and Knowledge (6 papers), Machine Learning and Algorithms (4 papers), Machine Learning and Data Classification (4 papers), Data Management and Algorithms (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Artificial Intelligence (757 citations), Information Systems (279 citations) and Software (43 citations). Edwin Pednault has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Wilma K. Olson, Amol Ghoting, Chidanand Apté, Padhraic Smyth, Bing Liu, Berthold Reinwald, Shivakumar Vaithyanathan, Rajasekar Krishnamurthy, Shirish Tatikonda and Vikas Sindhwani. Their work appears in journals such as Communications of the ACM, IBM Journal of Research and Development, Physical Review Research, Journal of Logic and Computation and Artificial Intelligence.

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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