M. C. Spruill

445 citations
28 papers · 265 indexed · h-index 8

M. C. Spruill

24 papers receiving 232 citations

Peers

M. C. Spruill
Comparison fields: 5 of 62
  • Statistics and Probability 128
  • Statistics, Probability and Uncertainty 48
  • Management Science and Operations Research 71
  • Finance 37
  • Computational Theory and Mathematics 42
Replace Leland A. Gardner with:
Leland A. Gardner
Jayaram Sethuraman United States
Y. S. Sathe India
D. G. Kabe Canada
M.C.A. van Zuijlen Netherlands
Minoru Siotani Japan
Shuyuan He China
Václav Dupač Czechia
G. W. Hill Australia
Ourania Chryssaphinou Greece
M. C. Spruill relative to Leland A. Gardner Leland A. Gardner's profile →
Citations per field
00.5×2.6×
Leland A. Gardner · 1×
Citations per year

Countries citing papers authored by M. C. Spruill

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Spruill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20111
2
Random Restarts in Global Optimization
200914
3 20090
4 20090
5 200713
6 20051
7 20010
8 20015
9 20015
10 19949
11 19904
12 19903
13 19903
14 19875
15 19865
16 19864
17 198418
18 19795
19 197611
20
LARGE SAMPLE PROPERTIES OF CHI-SQUARE GOODNESS-OF-FIT TESTS
19731

About M. C. Spruill

M. C. Spruill is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research, having authored 28 papers that have together received 265 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (7 papers), Metaheuristic Optimization Algorithms Research (7 papers), Optimal Experimental Design Methods (7 papers), Advanced Statistical Methods and Models (4 papers), Statistical Methods and Inference (4 papers), Probabilistic and Robust Engineering Design (4 papers), Optimization and Search Problems (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Statistics and Probability (128 citations), Statistics, Probability and Uncertainty (48 citations) and Management Science and Operations Research (71 citations). M. C. Spruill has collaborated with scholars based in United States and Canada. Frequent co-authors include David S. Moore, Ronald W. Shonkwiler, Theodore P. Hill, Richard Aynsley, Franklin Mendivil, Robert D. Foley, W. J. Studden and Xiaohua Hu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Annals of Statistics and Journal of Wind Engineering and Industrial Aerodynamics.

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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