E. C. Marshall

617 citations
14 papers · 437 · h-index 7

Impact in

Papers in

E. C. Marshall

13 papers receiving 372 citations

Peers

E. C. Marshall
Comparison fields: 5 of 102
  • Statistics and Probability 102
  • Statistics, Probability and Uncertainty 41
  • Radiological and Ultrasound Technology 27
  • Medical Laboratory Technology 7
  • Health 22
Replace Abigail Colson with:
Abigail Colson United Kingdom
Michael W. Robbins United States
Scott D. McKnight United States
Sabine Hoffmann Germany
Sudhir Jadhav India
JS Bhawalkar India
Pralay Senchaudhuri United States
Riccardo Borgoni Italy
Anwer Khurshid Oman
Philip J. McCarthy United States
E. C. Marshall relative to Abigail Colson United Kingdom Abigail Colson's profile →
Citations per field
00.5×5.4×
Abigail Colson · 1×
Citations per year

Countries citing papers authored by E. C. Marshall

Since Specialization
Citations

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

Fields of papers citing papers by E. C. Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1998166
2 2003108
3 200764
4 197741
5 198117
6 197810
7 19959
8 20025
9 19815
10 20064
11 20243
12 19992
13 19932
14
National Power MMI prototyping and evaluation facility:-use of the OECD Halden reactor Project PICASSO software
19901

About E. C. Marshall

E. C. Marshall is a scholar working on Control and Systems Engineering, Statistics and Probability, Civil and Structural Engineering, Social Psychology and Radiological and Ultrasound Technology, having authored 14 papers that have together received 437 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Statistical Methods and Inference (3 papers), Fault Detection and Control Systems (2 papers), Interactive and Immersive Displays (1 paper), Risk and Safety Analysis (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Statistical Distribution Estimation and Applications (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Statistics and Probability (102 citations), Statistics, Probability and Uncertainty (41 citations), Radiological and Ultrasound Technology (27 citations), Medical Laboratory Technology (7 citations) and Health (22 citations). E. C. Marshall has collaborated with scholars based in United Kingdom and Singapore. Frequent co-authors include David J. Spiegelhalter, Martin McKee, K. D. DUNCAN, Ann Turner, Andrew J. Shepherd, Jennifer Brooke, Ian Chetter, Ahmed Abidia, P T McCollum and David J. Spiegelhalter. Their work appears in journals such as Ergonomics, European Journal of Vascular and Endovascular Surgery, The Science of The Total Environment, Statistics in Medicine and Bayesian Analysis.

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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