C.E. Love

22 papers receiving 457 citations

Peers

C.E. Love
Comparison fields: 5 of 68
  • Safety, Risk, Reliability and Quality 336
  • Software 143
  • Statistics and Probability 204
  • Statistics, Probability and Uncertainty 130
  • Medical Laboratory Technology 15
Replace R. Guo with:
R. Guo South Africa
W. Wang United Kingdom
William Murdock United States
Robin Nicolai Netherlands
Kellie Schneider United States
Guan Jun Wang China
Delia Montoro‐Cazorla Spain
Tzu‐Hsin Liu Taiwan
Miaomiao Yu China
Laurent Doyen France
C.E. Love relative to R. Guo South Africa R. Guo's profile →
Citations per field
00.5×2×3×4×5×
R. Guo · 1×
Citations per year

Countries citing papers authored by C.E. Love

Since Specialization
Citations

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

Fields of papers citing papers by C.E. Love

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.E. Love. 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 C.E. Love. The network helps show where C.E. Love may publish in the future.

Co-authors

The 7 scholars most cited alongside C.E. Love, 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 C.E. Love Line = papers co-authored together C.E. Love links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200387
2 200065
3 199154
4 199641
5 202137
6 199236
7 199134
8 200020
9 198218
10 199813
11 199412
12 199511
13 199410
14 199310
15 19938
16 20036
17 20065
18 19945
19 19853
20 19963

About C.E. Love

C.E. Love is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability, Software, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 22 papers that have together received 483 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (12 papers), Statistical Distribution Estimation and Applications (10 papers), Software Reliability and Analysis Research (7 papers), Probabilistic and Robust Engineering Design (3 papers), Risk and Safety Analysis (2 papers), Gut microbiota and health (2 papers), Optimization and Mathematical Programming (2 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (336 citations), Software (143 citations), Statistics and Probability (204 citations), Statistics, Probability and Uncertainty (130 citations) and Medical Laboratory Technology (15 citations). C.E. Love has collaborated with scholars based in Canada, South Africa and China. Frequent co-authors include R. Guo, Waltraud Kahle, George Blazenko, Li‐Lian Yuan, Matthew A. Turner, Kim Fung Lam and D. Moffat. Their work appears in journals such as Quality and Reliability Engineering International, Computers & Operations Research, IEEE Transactions on Reliability, Journal of the Operational Research Society and European Journal of Operational Research.

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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