David Juedes

1.9k citations
40 papers · 988 · h-index 12

Impact in

    • Complexity and Algorithms in Graphs
    • Advanced Graph Theory Research
    • Computability, Logic, AI Algorithms
    • semigroups and automata theory
    • Numerical Methods and Algorithms
    • Numerical methods for differential equations
    • Advanced Optimization Algorithms Research

Papers in

David Juedes

38 papers receiving 877 citations

Peers

David Juedes
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 464
  • Numerical Analysis 151
  • Hardware and Architecture 84
  • Computer Graphics and Computer-Aided Design 36
  • Computer Science Applications 37
Replace Norman E. Gibbs with:
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David Juedes relative to Norman E. Gibbs United States Norman E. Gibbs's profile →
Citations per field
00.5×2.8×
Norman E. Gibbs · 1×
Citations per year

Countries citing papers authored by David Juedes

Since Specialization
Citations

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

Fields of papers citing papers by David Juedes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996479
2 200573
3 200357
4
A taxonomy of automatic differentiation tools
199149
5 199536
6 199530
7 200230
8 200424
9 199523
10 201623
11 199422
12 200413
13 200411
14 200311
15 200411
16 200511
17 19999
18 20028
19 20078
20 20048

About David Juedes

David Juedes is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 40 papers that have together received 988 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (10 papers), semigroups and automata theory (10 papers), Computability, Logic, AI Algorithms (8 papers), Advanced Graph Theory Research (7 papers), Parallel Computing and Optimization Techniques (5 papers), Real-Time Systems Scheduling (5 papers), Distributed and Parallel Computing Systems (4 papers) and Logic, programming, and type systems (4 papers). The work is most often cited by research in Computational Theory and Mathematics (464 citations), Numerical Analysis (151 citations), Hardware and Architecture (84 citations), Computer Graphics and Computer-Aided Design (36 citations) and Computer Science Applications (37 citations). David Juedes has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Andreas Griewank, Jean Utke, Jack H. Lutz, Liming Cai, Iyad Kanj, Michael R. Fellows, Benny Chor, Ge Xia, Xiuzhen Huang and Cindy Marling. Their work appears in journals such as Theoretical Computer Science, Theory of Computing Systems, Information and Computation, ACM Transactions on Mathematical Software and Bioinformatics.

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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