N. J. A. Sloane

228 papers receiving 17.8k citations

Hit Papers

Sphere Packings, Lattices and Groups.19762026199220091989199919881998199450010001.5k2.0k

Peers

N. J. A. Sloane
Comparison fields: 5 of 190
  • Artificial Intelligence 8.7k
  • Electrical and Electronic Engineering 7.4k
  • Computational Theory and Mathematics 4.7k
  • Computer Networks and Communications 3.5k
  • Discrete Mathematics and Combinatorics 2.8k
Replace László Lovász with:
László Lovász Hungary
Ronald Graham United States
John H. Conway United States
Fan Chung United States
Terence Tao United States
Charles R. Johnson United States
Harald Niederreiter Austria
Béla Bollobás United States
Persi Diaconis United States
H. S. M. Coxeter Canada
N. J. A. Sloane relative to László Lovász Hungary László Lovász's profile →
Citations per field
00.5×2.6×
László Lovász · 1×
Citations per year

Countries citing papers authored by N. J. A. Sloane

Since Specialization
Citations

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

Fields of papers citing papers by N. J. A. Sloane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. J. A. Sloane. 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 N. J. A. Sloane. The network helps show where N. J. A. Sloane may publish in the future.

Co-authorship network of co-authors of N. J. A. Sloane

This figure shows the co-authorship network connecting the top 25 collaborators of N. J. A. Sloane. A scholar is included among the top collaborators of N. J. A. Sloane 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 N. J. A. Sloane. N. J. A. Sloane 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 0
2
Self-Dual Codes and Invariant Theory (Algorithms and Computation in Mathematics)
29
3 13
4 3
5 25
6 39
7 70
8 32
9 14
10 30
11 30
12 20
13 14
14 39
15 4
16 27
17
On Constant Weight Codes and Harmonious Graphs.
1
18 45
19 172
20 9

About N. J. A. Sloane

N. J. A. Sloane is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Artificial Intelligence, having authored 238 papers that have together received 19.4k indexed citations. Recurring topics across this work include Coding theory and cryptography (110 papers), graph theory and CDMA systems (89 papers) and Cellular Automata and Applications (39 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (2.8k citations), Computational Theory and Mathematics (4.7k citations) and Artificial Intelligence (8.7k citations). N. J. A. Sloane has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John H. Conway, A.R. Calderbank, H. S. M. Coxeter, Eric M. Rains, J. Conway, F. MacWilliams, John Stufken, A. Hedayat, R. H. Hardin and P. Vijay Kumar. Their work appears in journals such as Nature, Physical Review Letters and The Journal of Chemical Physics.

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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