Mark Johnston

5.7k citations
151 papers · 3.0k indexed · h-index 26

Mark Johnston

142 papers receiving 2.8k citations

Peers

Mark Johnston
Comparison fields: 5 of 127
  • Industrial and Manufacturing Engineering 877
  • Artificial Intelligence 1.4k
  • Computer Networks and Communications 846
  • Management Science and Operations Research 386
  • Computational Theory and Mathematics 411
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Simon Lin Taiwan
Marco Locatelli Italy
Peter Cheeseman United States
Michael A. Bender United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Johnston

Since Specialization
Citations

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

Fields of papers citing papers by Mark Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20158
3 20144
4 20135
5 20129
6 20117
7 201127
8
MUSE: The Multi-User Scheduling Environment for Multi-Objective Scheduling of Space Science Missions
20097
9
Multi-objective evolutionary algorithms for scheduling the James Webb Space Telescope
200815
10 200697
11
The deep space network scheduling problem
200525
12 20020
13
Scheduling Tools for Astronomical Observations
19961
14
Spike: AI scheduling for Hubble Space Telescope after 18 months of orbital operations
19923
15 199229
16
Solving large-scale constraint satisfaction and scheduling problems using a heuristic repair method
1990190
17
Automated Observation Scheduling for the VLT
198810
18
An expert system for ground support of the Hubble space telescope
19865
19 198015
20 197911

About Mark Johnston

Mark Johnston is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Instrumentation, Computational Theory and Mathematics and Computer Networks and Communications, having authored 151 papers that have together received 3.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (59 papers), Evolutionary Algorithms and Applications (44 papers), Advanced Multi-Objective Optimization Algorithms (25 papers), Scheduling and Optimization Algorithms (24 papers), Distributed and Parallel Computing Systems (24 papers), Constraint Satisfaction and Optimization (16 papers), Astronomical Observations and Instrumentation (16 papers) and Satellite Communication Systems (14 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (877 citations), Artificial Intelligence (1.4k citations), Computer Networks and Communications (846 citations), Management Science and Operations Research (386 citations) and Computational Theory and Mathematics (411 citations). Mark Johnston has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Mengjie Zhang, Steven Minton, Philip Laird, Andrew B. Philips, Su Nguyen, Kay Chen Tan, Urvesh Bhowan, Jun Zhang, Xin Yao and H. M. Adorf. Their work appears in journals such as The Astrophysical Journal, IEEE Transactions on Evolutionary Computation, Soft Computing, Telematics and Informatics and Swarm and Evolutionary Computation.

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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