Grant

630 citations
10 papers · 456 indexed · h-index 5

Grant

9 papers receiving 433 citations

Peers

Grant
Comparison fields: 5 of 108
  • Statistics, Probability and Uncertainty 87
  • Public Health, Environmental and Occupational Health 192
  • Economics and Econometrics 133
  • General Health Professions 121
  • Statistics and Probability 27
Replace Shepherd with:
Shepherd United Kingdom
Sarah Ronaldson United Kingdom
Elke Hausner Germany
Jim Nuovo United States
Kathryn M. Taylor Canada
Mira G. P. Zuidgeest Netherlands
Adrian Gheorghe United Kingdom
Raisa B Gul Pakistan
K Claxton United Kingdom
Susan F. Fesperman United States
Grant relative to Shepherd United Kingdom Shepherd's profile →
Citations per field
00.5×1.5×
Shepherd · 1×
Citations per year

Countries citing papers authored by Grant

Since Specialization
Citations

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

Fields of papers citing papers by Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Grant, 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 Grant Line = papers co-authored together Grant links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20131
2
Adaptive regularization in frequency-domain NLMS filters
20122
3 20103
4
The World Trade Organisation and the Regulation of International Trade
20052
5 200024
6
Statistical Quality Control
200021
7 1999301
8 199792
9
GP Fundholders: Agents of Change
19979
10 19811

About Grant

Grant is a scholar working on Space and Planetary Science, Statistics, Probability and Uncertainty and Molecular Medicine, having authored 10 papers that have together received 456 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (2 papers), Delphi Technique in Research (1 paper), Meta-analysis and systematic reviews (1 paper), Neural Networks and Applications (1 paper), World Trade Organization Law (1 paper), Advanced Adaptive Filtering Techniques (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and Ancient Mediterranean Archaeology and History (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (87 citations), Public Health, Environmental and Occupational Health (192 citations) and Economics and Econometrics (133 citations). Grant has collaborated with scholars based in United Kingdom and Slovakia. Frequent co-authors include Kathryn M. Ross, Shepherd, Gillespie, Doozie Russell, Prescott, Cairns, Graham W. Taylor, Sue Fletcher, David W. Reid and David Russell. Their work appears in journals such as Health Technology Assessment, IEEE Transactions on Automatic Control, Research Explorer (The University of Manchester), European Signal Processing Conference and Griffith Research Online (Griffith University, Queensland, Australia).

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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