K. Ruben Gabriel

3.3k citations
44 papers · 2.2k indexed · 1 hit paper · h-index 20

K. Ruben Gabriel

42 papers receiving 1.9k citations

Hit Papers

A New Statistical Approach to Geographic Variation Analysis19692026198820071969250500750

Peers

K. Ruben Gabriel
Comparison fields: 5 of 189
  • Computer Networks and Communications 356
  • Statistics and Probability 309
  • Plant Science 243
  • Genetics 223
  • Global and Planetary Change 200
Replace A. D. Gordon with:
A. D. Gordon United Kingdom
Dianne Cook United States
Sasanka Roy India
K. E. Basford Australia
Anja Struyf Belgium
Josef Schmee United States
P.A.P. Groenen Netherlands
Allan R. Wilks United States
S. Kocherlakota Canada
S. Rao Jammalamadaka United States
K. Ruben Gabriel relative to A. D. Gordon United Kingdom A. D. Gordon's profile →
Citations per field
00.5×6.8×
A. D. Gordon · 1×
Citations per year

Countries citing papers authored by K. Ruben Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by K. Ruben Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Ruben Gabriel. 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 K. Ruben Gabriel. The network helps show where K. Ruben Gabriel may publish in the future.

Co-authorship network of co-authors of K. Ruben Gabriel

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 75
3 1
4 5
5 3
6 21
7 2
8 9
9 46
10 1
11 11
12 51
13
The Assessment of Statistical-physical Techniques for the Evaluation of Weather Modification Operations
3
14 196
15 11
16 130
17 26
18 1
19 151
20 17

About K. Ruben Gabriel

K. Ruben Gabriel is a scholar working on Statistics and Probability, Management Science and Operations Research and Analytical Chemistry, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Statistics and Probability (309 citations), Computational Mathematics (18 citations) and Computer Graphics and Computer-Aided Design (81 citations). K. Ruben Gabriel has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Robert R. Sokal, Shmuel Zamir, Dan Bradu, Moonseong Heo, Janet M. Begun, Stephen J. Kunitz, Joanne Comi McCloskey, Ruth A. Lawrence, Stanley A. Changnon and Daniel Rosenfeld. Their work appears in journals such as Journal of the American Statistical Association, Contemporary Sociology A Journal of Reviews and Technometrics.

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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