John Hooker

7.6k citations
111 papers · 3.7k · 1 hit paper · h-index 33

Impact in

Papers in

John Hooker

98 papers receiving 3.5k citations

John Hooker's Hit Papers

Scope for industrial applications of production scheduling models and solution methods 2013 · 353 citations
3530+4+8Years since publication100200300

Peers

John Hooker
Comparison fields: 5 of 117
  • Industrial and Manufacturing Engineering 1.5k
  • Computational Theory and Mathematics 908
  • Computer Networks and Communications 1.0k
  • Management Science and Operations Research 478
  • Software 142
Replace Michael O. Ball with:
Michael O. Ball United States
Ender Özcan United Kingdom
Michael C. Fu United States
Gérard Cornuéjols United States
David Connolly Italy
Ellis L. Johnson United States
G. L. Nemhauser United States
Thomas A. Feo United States
Alain Hertz Canada
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Citations per field
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Citations per year

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 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003354
2
Scope for industrial applications of production scheduling models and solution methods
Hit paper breakdown →
2013353
3 1995262
4 2007207
5 2000163
6 1988140
7 1994130
8 200799
9 199995
10 200293
11 198892
12 200076
13 199575
14 201066
15 200565
16 199163
17 201958
18 199157
19 198857
20 199355

About John Hooker

John Hooker is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 111 papers that have together received 3.7k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (35 papers), Logic, Reasoning, and Knowledge (21 papers), Formal Methods in Verification (20 papers), Vehicle Routing Optimization Methods (15 papers), Scheduling and Optimization Algorithms (12 papers), Data Management and Algorithms (9 papers), Bayesian Modeling and Causal Inference (8 papers) and Logic, programming, and type systems (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.5k citations), Computational Theory and Mathematics (908 citations), Computer Networks and Communications (1.0k citations), Management Science and Operations Research (478 citations) and Software (142 citations). John Hooker has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Greger Ottosson, Ignacio E. Grossmann, Iiro Harjunkoski, Vijay Chandru, Willem‐Jan van Hoeve, Vishwa Vinay, Guido Sand, Sebastian Engell, Carlos A. Méndez and Peter Bongers. Their work appears in journals such as Operations Research, INFORMS journal on computing, 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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