S. L.

2.5k citations
9 papers · 2.0k · 1 hit paper · h-index 7

Impact in

Papers in

S. L.

8 papers receiving 1.7k citations

S. L.'s Hit Papers

The Advanced Theory of Statistics 1963 · 1.5k citations
1.5k0+21+42Years since publication50010001.5k

Peers

S. L.
Comparison fields: 5 of 197
  • Statistics and Probability 354
  • Discrete Mathematics and Combinatorics 118
  • Statistics, Probability and Uncertainty 124
  • Artificial Intelligence 439
  • Management Science and Operations Research 162
Replace Colin L. Mallows with:
Colin L. Mallows United States
I. M. Chakravarti United States
Marius Iosifescu Romania
Meyer Dwass United States
C. Stein United States
Elizabeth L. Scott United States
J. N. Darroch Australia
Masaaki Sibuya Japan
Morris L. Eaton United States
Sidney C. Port United States
S. L. relative to Colin L. Mallows United States Colin L. Mallows's profile →
Citations per field
00.5×3.0×
Colin L. Mallows · 1×
Citations per year

Countries citing papers authored by S. L.

Since Specialization
Citations

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

Fields of papers citing papers by S. L.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside S. L., 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 S. L. Line = papers co-authored together S. L. links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
The Advanced Theory of Statistics
Hit paper breakdown →
19631500
2 1962293
3 1994146
4 199516
5 19989
6 19909
7 20027
8 19953
9
20200

About S. L.

S. L. is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Discrete Mathematics and Combinatorics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include graph theory and CDMA systems (6 papers), Coding theory and cryptography (3 papers), Finite Group Theory Research (2 papers), Graph Labeling and Dimension Problems (1 paper) and Analytic Number Theory Research (1 paper). The work is most often cited by research in Statistics and Probability (354 citations), Discrete Mathematics and Combinatorics (118 citations), Statistics, Probability and Uncertainty (124 citations), Artificial Intelligence (439 citations) and Management Science and Operations Research (162 citations). S. L. has collaborated with scholars based in Singapore, United States and Germany. Frequent co-authors include A. Stuart, M. G. Kendall, Bernhard Schmidt, K. T. Arasu, Warwick de Launey, Kai Fang, Wai Chee Shiu and Carlos Maquieira. Their work appears in journals such as Designs Codes and Cryptography, Archiv der Mathematik, Linear and Multilinear Algebra, Population and DOAJ (DOAJ: Directory of Open Access Journals).

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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