Nat Jack

1.3k citations
31 papers · 851 · h-index 14

Impact in

Papers in

Nat Jack

31 papers receiving 803 citations

Peers

Nat Jack
Comparison fields: 5 of 75
  • Software 267
  • Safety, Risk, Reliability and Quality 606
  • Statistics, Probability and Uncertainty 232
  • Statistics and Probability 191
  • Medical Laboratory Technology 22
Replace Richard Dwight with:
Richard Dwight Australia
Anis Chelbi Tunisia
Sofia Panagiotidou Greece
Jos A.C. Bokhorst Netherlands
Geert Waeyenbergh Belgium
Mehmet Savsar Kuwait
Joachim Arts Netherlands
Parveen S. Goel United States
Thomas Sloan United States
Domenico Falcone Italy
Nat Jack relative to Richard Dwight Australia Richard Dwight's profile →
Citations per field
00.5×3.4×
Richard Dwight · 1×
Citations per year

Countries citing papers authored by Nat Jack

Since Specialization
Citations

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

Fields of papers citing papers by Nat Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Nat Jack, 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 Nat Jack Line = papers co-authored together Nat Jack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008108
2 200892
3 200382
4 200366
5 200663
6 199459
7 200047
8 200747
9 200138
10 199829
11 199428
12 200326
13 201424
14 201421
15 200213
16 199712
17 199112
18 200311
19 200510
20 201710

About Nat Jack

Nat Jack is a scholar working on Safety, Risk, Reliability and Quality, Software, Statistics and Probability, Statistics, Probability and Uncertainty and Management Information Systems, having authored 31 papers that have together received 851 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (22 papers), Software Reliability and Analysis Research (11 papers), Statistical Distribution Estimation and Applications (9 papers), Risk and Safety Analysis (7 papers), Supply Chain and Inventory Management (2 papers), Product Development and Customization (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Technology Assessment and Management (2 papers). The work is most often cited by research in Software (267 citations), Safety, Risk, Reliability and Quality (606 citations), Statistics, Probability and Uncertainty (232 citations), Statistics and Probability (191 citations) and Medical Laboratory Technology (22 citations). Nat Jack has collaborated with scholars based in United Kingdom, Australia and Indonesia. Frequent co-authors include D. N. Prabhakar Murthy, Bermawi P. Iskandar, J. S. Dagpunar, G.T. Heydt, Brian Keel, Won Young Yun, David Bradley, Shařon Levy, A. H. Christer and Michael T Swanston. Their work appears in journals such as Journal of the Operational Research Society, IMA Journal of Management Mathematics, Naval Research Logistics (NRL), International Journal of Production Economics and Reliability Engineering & System Safety.

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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