E.I. Jury

7.9k citations
217 papers · 5.8k indexed · 3 hit papers · h-index 36

E.I. Jury

203 papers receiving 5.4k citations

Hit Papers

Inners and Stability of Dynamic Systems3751965202619852005100200300400500

Peers

E.I. Jury
Comparison fields: 5 of 133
  • Numerical Analysis 738
  • Control and Systems Engineering 2.9k
  • Computational Theory and Mathematics 1.5k
  • Computational Mathematics 48
  • Statistical and Nonlinear Physics 826
Replace Irwin W. Sandberg with:
Irwin W. Sandberg United States
T. N. E. Greville United States
Charles A. Micchelli United States
Adi Ben-Israel United States
Alan J. Laub United States
Felipe Cucker Hong Kong
Uwe Helmke Germany
Jan C. Willems Netherlands
M. Morf United States
James R. Bunch United States
E.I. Jury relative to Irwin W. Sandberg United States Irwin W. Sandberg's profile →
Citations per field
00.5×
Irwin W. Sandberg · 1×
Citations per year

Countries citing papers authored by E.I. Jury

Since Specialization
Citations

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

Fields of papers citing papers by E.I. Jury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.I. Jury. 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 E.I. Jury. The network helps show where E.I. Jury may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19964
2 19963
3 19943
4 19921
5 19917
6 198829
7 198512
8 19821
9 19807
10 19789
11 19782
12 197512
13 197417
14 19743
15 197330
16 197217
17 19719
18 19651
19 19631
20 19611

About E.I. Jury

E.I. Jury is a scholar working on Numerical Analysis, Control and Systems Engineering, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Geometry and Topology, having authored 217 papers that have together received 5.8k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (69 papers), Matrix Theory and Algorithms (43 papers), Control Systems and Identification (35 papers), Numerical methods for differential equations (30 papers), Stability and Controllability of Differential Equations (24 papers), Quantum chaos and dynamical systems (19 papers), Advanced Control Systems Optimization (17 papers) and Mathematical functions and polynomials (15 papers). The work is most often cited by research in Numerical Analysis (738 citations), Control and Systems Engineering (2.9k citations), Computational Theory and Mathematics (1.5k citations), Computational Mathematics (48 citations) and Statistical and Nonlinear Physics (826 citations). E.I. Jury has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Brian D. O. Anderson, Seoiyoung Ahn, Richard Bellman, V. V. Krishnan, Lawrence Stark, M. Mansour, S. Gutman, M. Mansour, P. Agathoklis and E. Zeheb. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Control, Proceedings of the IEEE, Journal of the Franklin Institute and Journal of Dynamic Systems Measurement and Control.

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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