I. D. Hill

3.0k citations
73 papers · 1.5k indexed · h-index 17

Impact in

Papers in

I. D. Hill

61 papers receiving 1.3k citations

Peers

I. D. Hill
Comparison fields: 5 of 184
  • Statistics and Probability 320
  • Statistics, Probability and Uncertainty 199
  • Management Science and Operations Research 124
  • Computational Theory and Mathematics 142
  • Computer Vision and Pattern Recognition 170
Replace William Steiger with:
William Steiger United States
Peter G. Craven United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by I. D. Hill

Since Specialization
Citations

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

Fields of papers citing papers by I. D. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20231
4 20232
5 20224
6 20201
7 202019
8
The Half Monte Carlo Method: Combining Total Monte Carlo with Nuclear Data Sensitivity Profiles
20171
9
Generation of 1800 New Sensitivity Data Files for ICSBEP Using SCALE6.0
20130
10 20012
11 200117
12 19993
13
Effect of albumin on the electrophysiologic stability of isolated perfused rabbit hearts.
198931
14 19831
15 19791
16 19752
17
A commentary on the ALGOL 60 Revised Report
19741
18 196922
19
Some remarks on the draft report
19681
20 196634

About I. D. Hill

I. D. Hill is a scholar working on Radiation, Computational Theory and Mathematics, Aerospace Engineering, Applied Microbiology and Biotechnology and Gastroenterology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (11 papers), Nuclear Materials and Properties (10 papers), Nuclear Physics and Applications (6 papers), Numerical Methods and Algorithms (6 papers), Algorithms and Data Compression (5 papers), Chaos-based Image/Signal Encryption (4 papers), Advanced Numerical Analysis Techniques (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Statistics and Probability (320 citations), Statistics, Probability and Uncertainty (199 citations), Management Science and Operations Research (124 citations), Computational Theory and Mathematics (142 citations) and Computer Vision and Pattern Recognition (170 citations). I. D. Hill has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Brian Wichmann, Robert Nyden Hill, Malcolm C. Pike, Amanda Hill, Yin‐Gail Yee, Robert E. Kates, Edwin L. Crow, Richard Peto, N. Soppera and Annemarie Hennessy. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Communications of the ACM, The Computer Journal, Journal of Pediatric Gastroenterology and Nutrition and Biometrics.

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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