John Hooker

145 papers receiving 5.1k citations

John Hooker's Hit Papers

Scope for industrial applications of production scheduling models and solution methods 2013 · 410 citations
4100+4+8Years since publication100200300400

Peers

John Hooker
Comparison fields: 5 of 121
  • Industrial and Manufacturing Engineering 2.2k
  • Computational Theory and Mathematics 1.6k
  • Software 356
  • Computer Networks and Communications 1.9k
  • Management Science and Operations Research 716
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Countries citing papers authored by John Hooker

Since Specialization
Citations

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

Fields of papers citing papers by John Hooker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003421
2
Scope for industrial applications of production scheduling models and solution methods
Hit paper breakdown →
2013410
3 1995330
4 2007235
5 2000227
6 1994159
7 1988145
8 2007141
9 1988128
10 1999122
11 2002114
12 200094
13 200793
14 199592
15 201687
16 200482
17 200581
18 199180
19 201077
20 198872

About John Hooker

John Hooker is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 166 papers that have together received 5.4k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (67 papers), Formal Methods in Verification (43 papers), Scheduling and Optimization Algorithms (24 papers), Logic, Reasoning, and Knowledge (24 papers), Vehicle Routing Optimization Methods (21 papers), Model-Driven Software Engineering Techniques (14 papers), Bayesian Modeling and Causal Inference (12 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (2.2k citations), Computational Theory and Mathematics (1.6k citations), Software (356 citations), Computer Networks and Communications (1.9k citations) and Management Science and Operations Research (716 citations). John Hooker has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Greger Ottosson, Willem‐Jan van Hoeve, André A. Ciré, Vijay Chandru, Ignacio E. Grossmann, Tarik Hadžić, David Bergman, Iiro Harjunkoski, Vishwa Vinay and Guido Sand. Their work appears in journals such as INFORMS journal on computing, Operations Research, Annals of Operations Research, Constraints and Transportation 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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