Harold V. McIntosh

35 papers receiving 681 citations

Peers

Harold V. McIntosh
Comparison fields: 5 of 63
  • Atomic and Molecular Physics, and Optics 457
  • Statistical and Nonlinear Physics 290
  • Computational Theory and Mathematics 198
  • Mathematical Physics 101
  • Nuclear and High Energy Physics 88
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S. Graffi Italy
Hajo Leschke Germany
V. Z. Enolski United Kingdom
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Harold V. McIntosh relative to S. Graffi Italy S. Graffi's profile →
Citations per field
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S. Graffi · 1×
Citations per year

Countries citing papers authored by Harold V. McIntosh

Since Specialization
Citations

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

Fields of papers citing papers by Harold V. McIntosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold V. McIntosh. 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 Harold V. McIntosh. The network helps show where Harold V. McIntosh may publish in the future.

Co-authorship network of co-authors of Harold V. McIntosh

This figure shows the co-authorship network connecting the top 25 collaborators of Harold V. McIntosh. A scholar is included among the top collaborators of Harold V. McIntosh 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 Harold V. McIntosh. Harold V. McIntosh 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 7
2
Reproducing the cyclic tag system developed by Matthew Cook with Rule 110 using the phases f1_1
3
3 0
4
Rule 110 objects and other constructions based-collisions
3
5 11
6
The inverse behavior of a reversible one-dimensional cellular automaton obtained by a single Welch diagram
7
7
Gliders in Rule 110
14
8 37
9 15
10 4
11
Correspondence between the temporal and spacial behavior in reversible one-dimensional cellular automata equivalent with the full shift
0
12 2
13 38
14 3
15 5
16 113
17 72
18 1
19 31
20 10

About Harold V. McIntosh

Harold V. McIntosh is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Mathematical Physics, having authored 40 papers that have together received 779 indexed citations. Recurring topics across this work include Cellular Automata and Applications (13 papers), Quantum chaos and dynamical systems (10 papers) and DNA and Biological Computing (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (290 citations), Atomic and Molecular Physics, and Optics (457 citations) and Computational Theory and Mathematics (198 citations). Harold V. McIntosh has collaborated with scholars based in Mexico, Sweden and United States. Frequent co-authors include Arturo Cisneros, Michael Hehenberger, Erkki Brändas, Genaro J. Martínez, Juan Carlos Seck-Tuoh-Mora, Andrew Adamatzky, M. Berrondo, Adolfo Guzmán Arenas, G. Andrés Cisneros and Carlos F. Bunge. Their work appears in journals such as Science, Proceedings of the IEEE and Communications of the ACM.

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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