John Jackman

1.2k citations
82 papers · 502 · h-index 14

Impact in

Papers in

John Jackman

69 papers receiving 476 citations

Peers

John Jackman
Comparison fields: 5 of 123
  • Industrial and Manufacturing Engineering 135
  • Geriatrics and Gerontology 35
  • Architecture 14
  • Management Information Systems 53
  • Toxicology 15
Replace Céline McKeown with:
Céline McKeown United Kingdom
Iván Castilla‐Rodríguez Spain
Robert C. Creese United States
Arunkumar Pennathur United States
Burkhard Hensel Germany
Benjamin W. Niebel United States
Edgar Batista Spain
Yue Yin China
Celestine A. Ntuen United States
Xiaochun Jiang United States
John Jackman relative to Céline McKeown United Kingdom Céline McKeown's profile →
Citations per field
00.5×10×15×17.5×
Céline McKeown · 1×
Citations per year

Countries citing papers authored by John Jackman

Since Specialization
Citations

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

Fields of papers citing papers by John Jackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201260
2 201242
3 202336
4 200035
5 200621
6 199920
7 199817
8 200416
9 199316
10 201015
11 201315
12 199514
13 201813
14 201413
15 201012
16 198912
17 202211
18
Estimation of Geometric Brownian Motion Parameters for Oil Price Analysis
20179
19 20248
20 19977

About John Jackman

John Jackman is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Media Technology, Developmental and Educational Psychology and Education, having authored 82 papers that have together received 502 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (10 papers), Experimental Learning in Engineering (8 papers), Engineering Education and Curriculum Development (7 papers), Scheduling and Optimization Algorithms (6 papers), Innovative Teaching and Learning Methods (6 papers), Industrial Vision Systems and Defect Detection (5 papers), Advanced Queuing Theory Analysis (4 papers) and Engineering Education and Pedagogy (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (135 citations), Geriatrics and Gerontology (35 citations), Architecture (14 citations), Management Information Systems (53 citations) and Toxicology (15 citations). John Jackman has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Linda C. Schmidt, David McCartney, Asia N Rashed, Ian Chi Kei Wong, Antje Neubert, Stephen Tomlin, Dong Keun Park, Sigurður Ólafsson, Eric Johnson and Sarah M. Ryan. Their work appears in journals such as Journal of the Operational Research Society, The Engineering Economist, BMJ, Drug Safety and Journal of Manufacturing Science and Engineering.

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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