R. Lugannani

1.0k citations
16 papers · 736 indexed · 1 hit paper · h-index 7
Topics
Bayesian Methods and Mixture Models (3 papers)Probability and Risk Models (3 papers)Image and Signal Denoising Methods (2 papers)
Partner nations
United States

In The Last Decade

R. Lugannani

16 papers receiving 652 citations

Hit Papers

Saddle point approximation for the distribution of the su...19802026199520101980100200300400500

Peers

R. Lugannani
Comparison fields: 5 of 64
  • Statistics and Probability 344
  • Artificial Intelligence 159
  • Statistics, Probability and Uncertainty 155
  • Finance 125
  • Management Science and Operations Research 124
Replace J. P. Imhof with:
J. P. Imhof Switzerland
R. J. Bhansali United Kingdom
D. R. Jensen United States
Serge B. Provost Canada
Václav Fabian United States
Harold Ruben Canada
Friedrich Liese Germany
R. J. Serfling United States
Wolfgang Hörmann Türkiye
Abram Kagan United States
R. Lugannani relative to J. P. Imhof Switzerland J. P. Imhof's profile →
Citations per field
00.5×1.5×
J. P. Imhof · 1×
Citations per year

Countries citing papers authored by R. Lugannani

Since Specialization
Citations

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

Fields of papers citing papers by R. Lugannani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Lugannani

This figure shows the co-authorship network connecting the top 25 collaborators of R. Lugannani. A scholar is included among the top collaborators of R. Lugannani 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 R. Lugannani. R. Lugannani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 5
3 6
4 3
5 67
6
Saddle point approximation for the distribution of the sum of independent random variablesbreakdown →
536
7 3
8 5
9 9
10 7
11 3
12 5
13 69
14 3
15 1
16 12

About R. Lugannani

R. Lugannani is a scholar working on Statistics and Probability, Numerical Analysis and Statistics, Probability and Uncertainty, having authored 16 papers that have together received 736 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (3 papers), Probability and Risk Models (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Statistics and Probability (344 citations), Statistics, Probability and Uncertainty (155 citations) and Finance (125 citations). R. Lugannani has collaborated with scholars based in United States. Frequent co-authors include Stephen A. Rice, John B. Thomas, S. O. Rice and On-Ching Yue. Their work appears in journals such as Journal of Computational Physics, IEEE Transactions on Information Theory and Journal of the Franklin Institute.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026