Christopher D. Clack

1.3k citations
67 papers · 710 · h-index 14

Impact in

Papers in

Christopher D. Clack

64 papers receiving 652 citations

Peers

Christopher D. Clack
Comparison fields: 5 of 85
  • Hardware and Architecture 163
  • Artificial Intelligence 420
  • Computational Theory and Mathematics 194
  • Software 47
  • Management Science and Operations Research 125
Replace Kaisa Sere with:
Kaisa Sere Finland
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Rudolf Berghammer Germany
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Malcolm Atkinson United Kingdom
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Countries citing papers authored by Christopher D. Clack

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Clack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Clack. 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 Christopher D. Clack. The network helps show where Christopher D. Clack may publish in the future.

Co-authors

The 12 scholars most cited alongside Christopher D. Clack, 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 Christopher D. Clack Line = papers co-authored together Christopher D. Clack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198780
2 198572
3 201834
4 198930
5 199829
6 199727
7 199726
8 200725
9 198625
10
Programming With Standard Ml
199323
11 200721
12
PolyGP: A Polymorphic Genetic Programming System in Haskell
199721
13 200915
14 201015
15 200614
16 200814
17
GRIP: A parallel graph reduction machine
198713
18
Finding fixpoints in abstract interpretation
198713
19 200912
20 199512

About Christopher D. Clack

Christopher D. Clack is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture and Software, having authored 67 papers that have together received 710 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (20 papers), Metaheuristic Optimization Algorithms Research (18 papers), Simulation Techniques and Applications (7 papers), Parallel Computing and Optimization Techniques (7 papers), Stock Market Forecasting Methods (6 papers), Logic, programming, and type systems (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Hardware and Architecture (163 citations), Artificial Intelligence (420 citations), Computational Theory and Mathematics (194 citations), Software (47 citations) and Management Science and Operations Research (125 citations). Christopher D. Clack has collaborated with scholars based in United Kingdom, France and India. Frequent co-authors include Simon Jones, Tina Yu, Wei Yan, Sylvia Nagl, Chih‐Chun Chen, Katie Bentley, Stuart Clayman, Simon Peyton-Jones, Kevin L Hammond and Amy D. Willis. Their work appears in journals such as Lecture notes in computer science, Scientific Reports, Journal of Phycology, BMC Systems Biology and Soft Computing.

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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