A. L. Soyster

45 papers receiving 2.3k citations

Hit Papers

Technical Note—Convex Programming with Set-Inclusive Cons...1973202619902008197320164008001.2k

Peers

A. L. Soyster
Comparison fields: 5 of 89
  • Management Science and Operations Research 1.0k
  • Control and Systems Engineering 871
  • Industrial and Manufacturing Engineering 478
  • Management Information Systems 417
  • Electrical and Electronic Engineering 377
Replace Rüdiger Schultz with:
Rüdiger Schultz Germany
Suvrajeet Sen United States
Tito Homem‐de‐Mello United States
Abu S. M. Masud United States
Wolfram Wiesemann United Kingdom
Murat Köksalan Türkiye
James Luedtke United States
James P. Ignizio United States
François Louveaux Belgium
Berç Rüstem United Kingdom
A. L. Soyster relative to Rüdiger Schultz Germany Rüdiger Schultz's profile →
Citations per field
00.5×1.5×2.5×
Rüdiger Schultz · 1×
Citations per year

Countries citing papers authored by A. L. Soyster

Since Specialization
Citations

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

Fields of papers citing papers by A. L. Soyster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. L. Soyster. 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 A. L. Soyster. The network helps show where A. L. Soyster may publish in the future.

Co-authorship network of co-authors of A. L. Soyster

This figure shows the co-authorship network connecting the top 25 collaborators of A. L. Soyster. A scholar is included among the top collaborators of A. L. Soyster 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 A. L. Soyster. A. L. Soyster 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
Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programmingbreakdown →
364
2 8
3 1
4 2
5 3
6 1
7 3
8 4
9 59
10 5
11 5
12 42
13 11
14 44
15 11
16 12
17 24
18 1
19
A STOCHASTIC MODEL OF FLOW VERSUS CONCENTRATION APPLIED TO TRAFFIC ON HILLS
5
20
Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programmingbreakdown →
1378

About A. L. Soyster

A. L. Soyster is a scholar working on Numerical Analysis, Management Information Systems and Computational Theory and Mathematics, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (13 papers), Advanced Optimization Algorithms Research (13 papers) and Optimization and Variational Analysis (11 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Industrial and Manufacturing Engineering (478 citations) and Management Information Systems (417 citations). A. L. Soyster has collaborated with scholars based in United States. Frequent co-authors include Frederic H. Murphy, Benjamin Lev, Suvrajeet Sen, Hanif D. Sherali, Howard J. Weiss, K. O. Kortanek, A.M. Stanković, Andrija T. Sarić, Evangelos Triantaphyllou and George R. Wilson. Their work appears in journals such as Econometrica, Management Science and European Journal of Operational Research.

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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