A.J. Morris

2.0k citations
71 papers · 1.4k indexed · h-index 18

Impact in

Papers in

A.J. Morris

65 papers receiving 1.3k citations

Peers

A.J. Morris
Comparison fields: 5 of 130
  • Control and Systems Engineering 861
  • Analytical Chemistry 266
  • Industrial and Manufacturing Engineering 93
  • Artificial Intelligence 336
  • Computational Mathematics 6
Replace José A. Egea with:
José A. Egea Spain
G.A. Montague United Kingdom
Ahmad Banakar Iran
E.B. Martin United Kingdom
Javad Khazaei United States
Tong Qiu China
Pierantonio Facco Italy
Dong Chen China
Jesús Picó Spain
Amin Taheri‐Garavand Iran
A.J. Morris relative to José A. Egea Spain José A. Egea's profile →
Citations per field
00.5×5.8×
José A. Egea · 1×
Citations per year

Countries citing papers authored by A.J. Morris

Since Specialization
Citations

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

Fields of papers citing papers by A.J. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200815
2 20051
3 20030
4 20022
5
The BDI method : Part II: The effect of the whole milk powder manufacturing process on free fatty acid levels
20006
6 199891
7 1998208
8 199880
9 19961
10 19951
11 19931
12 19922
13 199114
14 1991128
15 198927
16 198912
17 19871
18 198633
19 198624
20 19851

About A.J. Morris

A.J. Morris is a scholar working on Control and Systems Engineering, Analytical Chemistry, Artificial Intelligence, Industrial and Manufacturing Engineering and Biophysics, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (51 papers), Advanced Control Systems Optimization (40 papers), Spectroscopy and Chemometric Analyses (18 papers), Neural Networks and Applications (15 papers), Process Optimization and Integration (11 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Control Systems and Identification (8 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). The work is most often cited by research in Control and Systems Engineering (861 citations), Analytical Chemistry (266 citations), Industrial and Manufacturing Engineering (93 citations), Artificial Intelligence (336 citations) and Computational Mathematics (6 citations). A.J. Morris has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include G.A. Montague, M.T. Tham, Jie Zhang, E.B. Martin, M.J. Willis, C. Di Massimo, G. Baffi, Paul Lant, Alan C. Ward and Costas Kiparissides. Their work appears in journals such as Computers & Chemical Engineering, Journal of Chemometrics, The Canadian Journal of Chemical Engineering, Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering and Biotechnology and Genetic Engineering Reviews.

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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