H. O. Hartley

9.2k citations
93 papers · 5.4k indexed · 2 hit papers · h-index 32

H. O. Hartley

91 papers receiving 4.6k citations

Hit Papers

The Modified Gauss-Newton Method for the Fitting of Non-L...6051956202619792002200400600

Peers

H. O. Hartley
Comparison fields: 5 of 225
  • Statistics and Probability 1.9k
  • Statistics, Probability and Uncertainty 422
  • Management Science and Operations Research 702
  • Artificial Intelligence 715
  • Applied Mathematics 143
Replace William G. Madow with:
William G. Madow United States
Franklin A. Graybill United States
S. D. Silvey United Kingdom
J. L. Hodges United States
R. L. Plackett United Kingdom
E. S. Pearson United Kingdom
Robert V. Hogg United States
Robert I. Jennrich United States
R. R. Hocking United States
C. Radhakrishna Rao United States
H. O. Hartley relative to William G. Madow United States William G. Madow's profile →
Citations per field
00.5×1.5×
William G. Madow · 1×
Citations per year

Countries citing papers authored by H. O. Hartley

Since Specialization
Citations

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

Fields of papers citing papers by H. O. Hartley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. O. Hartley. 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 H. O. Hartley. The network helps show where H. O. Hartley may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 1976335
2 197414
3 19742
4 197331
5 197217
6 196938
7 1967386
8 196664
9
AN IMPROVED MODEL FOR THE LEASTSQUARES ANALYSIS OF GAMMA-RAY SPECTRA IN ACTIVATION ANALYSIS
19651
10
SAMPLING WITH UNEQUAL PROBABILITIES AND WITHOUT REPLACEMENT (EVALUATION OF ASYMPTOTIC VARIANCE FORMULAS).
19652
11 19618
12 196026
13 19609
14 1959138
15 19595
16 1958413
17 1954228
18 19520
19 1951171
20 19519

About H. O. Hartley

H. O. Hartley is a scholar working on Statistics and Probability, Management Science and Operations Research and Numerical Analysis, having authored 93 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (18 papers), Optimal Experimental Design Methods (11 papers), Statistical Distribution Estimation and Applications (8 papers), Statistical Methods and Bayesian Inference (7 papers), Control Systems and Identification (6 papers), Survey Sampling and Estimation Techniques (5 papers), Bayesian Methods and Mixture Models (4 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), Statistics, Probability and Uncertainty (422 citations) and Management Science and Operations Research (702 citations). H. O. Hartley has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include E. S. Pearson, J. N. K. Rao, Sir Ronald A. Fisher, F Yates, H. A. David, R. R. Hocking, J. N. K. Rao, I. Richard Savage, E. C. Fieller and Robert L. Sielken. Their work appears in journals such as Nature, Journal of the American Statistical Association and Econometrica.

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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