F. Lombard

906 citations
53 papers · 590 · h-index 10

Impact in

Papers in

F. Lombard

49 papers receiving 551 citations

Peers

F. Lombard
Comparison fields: 5 of 98
  • Statistics and Probability 285
  • Statistics, Probability and Uncertainty 127
  • Instrumentation 36
  • Astronomy and Astrophysics 80
  • Finance 39
Replace P. Kumaraswamy with:
P. Kumaraswamy India
Ludwig Baringhaus Germany
Moulinath Banerjee United States
Cari G. Kaufman United States
Andrew G. Glen United States
Matti Vihola Finland
Barry R. James United States
Inge Koch Australia
Jan Swanepoel South Africa
L. N. Bol’shev
F. Lombard relative to P. Kumaraswamy India P. Kumaraswamy's profile →
Citations per field
00.5×8.9×
P. Kumaraswamy · 1×
Citations per year

Countries citing papers authored by F. Lombard

Since Specialization
Citations

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

Fields of papers citing papers by F. Lombard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside F. Lombard, 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 F. Lombard Line = papers co-authored together F. Lombard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996139
2 1987113
3 198548
4 199338
5 199327
6 198826
7 198624
8
Asymptotic distributions of rank statistics in the change-point problem
198318
9 198816
10 201210
11 19958
12 20017
13 20167
14 20137
15 20136
16 20056
17 20166
18 20116
19 20045
20 19985

About F. Lombard

F. Lombard is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Astronomy and Astrophysics and Computational Mechanics, having authored 53 papers that have together received 590 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (16 papers), Advanced Statistical Process Monitoring (13 papers), Statistical Methods and Inference (12 papers), Stellar, planetary, and galactic studies (7 papers), Bayesian Methods and Mixture Models (6 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Astronomical Observations and Instrumentation (5 papers) and Statistical and numerical algorithms (5 papers). The work is most often cited by research in Statistics and Probability (285 citations), Statistics, Probability and Uncertainty (127 citations), Instrumentation (36 citations), Astronomy and Astrophysics (80 citations) and Finance (39 citations). F. Lombard has collaborated with scholars based in South Africa, United States and China. Frequent co-authors include Raymond J. Carroll, C. Koen, Helmut Küchenhoff, Leonard A. Stefanski, Douglas M. Hawkins, Peter Hall, David M. Mason, G. J. Lyman, P. Rousselot and G. Moreels. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Technometrics, Chemometrics and Intelligent Laboratory Systems, Computational Statistics & Data Analysis and Journal of Statistical Computation and Simulation.

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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