Luc Longpré

1.0k citations
97 papers · 676 · h-index 14

Impact in

Papers in

Luc Longpré

79 papers receiving 620 citations

Peers

Luc Longpré
Comparison fields: 5 of 70
  • Computational Theory and Mathematics 432
  • Statistics, Probability and Uncertainty 106
  • Statistics and Probability 110
  • Artificial Intelligence 374
  • Management Science and Operations Research 61
Replace Javier Yáñez with:
Javier Yáñez Spain
R.B. Bapat India
Wolfgang Hörmann Austria
Chenyi Hu United States
Harald Luschgy Germany
Gilbert Stengle United States
Enrique Miranda Spain
Shoumei Li China
Nikolay Kyurkchiev Bulgaria
M. Gutman Israel
Luc Longpré relative to Javier Yáñez Spain Javier Yáñez's profile →
Citations per field
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Javier Yáñez · 1×
Citations per year

Countries citing papers authored by Luc Longpré

Since Specialization
Citations

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

Fields of papers citing papers by Luc Longpré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200285
2 200551
3 200647
4 199429
5 200629
6
Resource bounded Kolmogorov complexity, a link between computational complexity and information theory
198624
7 200620
8
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations
200416
9 199015
10 199515
11 199215
12 199314
13 200413
14 200413
15 200012
16
Propagation and Provenance of Probabilistic and Interval Uncertainty in Cyberinfrastructure-Related Data Processing and Data Fusion
200712
17 200111
18 200411
19 200411
20 199310

About Luc Longpré

Luc Longpré is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Statistics and Probability, Computer Networks and Communications and Control and Systems Engineering, having authored 97 papers that have together received 676 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (40 papers), Numerical Methods and Algorithms (27 papers), Algorithms and Data Compression (16 papers), semigroups and automata theory (11 papers), Benford’s Law and Fraud Detection (9 papers), Complexity and Algorithms in Graphs (8 papers), Machine Learning and Algorithms (7 papers) and Control Systems and Identification (6 papers). The work is most often cited by research in Computational Theory and Mathematics (432 citations), Statistics, Probability and Uncertainty (106 citations), Statistics and Probability (110 citations), Artificial Intelligence (374 citations) and Management Science and Operations Research (61 citations). Luc Longpré has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Владик Крейнович, Scott Ferson, Lev R. Ginzburg, Scott A. Starks, Steven Homer, Harry Buhrman, Gang Xiang, Hung T. Nguyen, Osamu Watanabe and Roberto Torres. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science, Journal of Computer and System Sciences, Journal of Computational and Applied Mathematics and Lecture notes in computer science.

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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