K. Vijayan

784 citations
36 papers · 495 · h-index 12

Impact in

Papers in

K. Vijayan

32 papers receiving 445 citations

Peers

K. Vijayan
Comparison fields: 5 of 93
  • Statistics and Probability 137
  • Computational Theory and Mathematics 160
  • Management Science and Operations Research 119
  • Discrete Mathematics and Combinatorics 27
  • Statistics, Probability and Uncertainty 41
Replace Sonja Kuhnt with:
Sonja Kuhnt Germany
Erkki P. Liski Finland
R. M. Phatarfod Australia
B.W.M. Bettonvil Netherlands
Jim Kennedy United Kingdom
John Harris United States
Y. Sawaragi Japan
Reda Boukezzoula France
Guodong Wang China
S. Mahmoud Taheri Iran
K. Vijayan relative to Sonja Kuhnt Germany Sonja Kuhnt's profile →
Citations per field
00.5×6.8×
Sonja Kuhnt · 1×
Citations per year

Countries citing papers authored by K. Vijayan

Since Specialization
Citations

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

Fields of papers citing papers by K. Vijayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200470
2 199966
3 198456
4 201052
5 199933
6 198733
7 197619
8 200018
9 197717
10 196817
11 199111
12 198811
13 198410
14 19759
15 20189
16 20049
17 20009
18
A PROPERTY OF RANDOM GRAPHS
20019
19 19775
20 20055

About K. Vijayan

K. Vijayan is a scholar working on Statistics and Probability, Computational Theory and Mathematics, Geometry and Topology, Ocean Engineering and Artificial Intelligence, having authored 36 papers that have together received 495 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (9 papers), Advanced Graph Theory Research (6 papers), Advanced Statistical Methods and Models (5 papers), Reservoir Engineering and Simulation Methods (5 papers), Graph theory and applications (4 papers), Evolutionary Algorithms and Applications (3 papers), Graph Labeling and Dimension Problems (3 papers) and Limits and Structures in Graph Theory (3 papers). The work is most often cited by research in Statistics and Probability (137 citations), Computational Theory and Mathematics (160 citations), Management Science and Operations Research (119 citations), Discrete Mathematics and Combinatorics (27 citations) and Statistics, Probability and Uncertainty (41 citations). K. Vijayan has collaborated with scholars based in Australia, India and Canada. Frequent co-authors include B. Abraham, Hugh Chipman, Steffen L. Lauritzen, Terence P. Speed, Berwin A. Turlach, Cara MacNish, Rajendra Gupta, Louis Caccetta, Rahul Mukerjee and T. J. Rao. Their work appears in journals such as Journal of the American Statistical Association, Journal of Statistical Planning and Inference, Discrete Mathematics, Technometrics and Biometrics.

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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