Neil Johnson

2.8k total citations · 1 hit paper
30 papers, 2.1k citations indexed

About

Neil Johnson is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Neil Johnson has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Neil Johnson's work include Human Pose and Action Recognition (6 papers), Receptor Mechanisms and Signaling (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Neil Johnson is often cited by papers focused on Human Pose and Action Recognition (6 papers), Receptor Mechanisms and Signaling (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Neil Johnson collaborates with scholars based in United Kingdom, United States and Australia. Neil Johnson's co-authors include R.J. Rodgers, David Hogg, Andrew Sixsmith, Aphrodite Galata, William H. Frey, Leah R. Hanson, Jon C. Cole, R. W. Whatmore, Robin Stevens and Gary R. Kidd and has published in prestigious journals such as Psychopharmacology, European Journal of Pharmacology and Behavioural Brain Research.

In The Last Decade

Neil Johnson

28 papers receiving 2.0k citations

Hit Papers

Factor analysis of spatiotemporal and ethological measure... 1995 2026 2005 2015 1995 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Neil Johnson United Kingdom 16 812 553 380 318 303 30 2.1k
Lee W. Campbell United States 11 441 0.5× 449 0.8× 234 0.6× 311 1.0× 246 0.8× 14 1.5k
Qiong Wang China 32 773 1.0× 451 0.8× 348 0.9× 77 0.2× 79 0.3× 176 3.4k
Tetsuo Ono Japan 30 426 0.5× 840 1.5× 462 1.2× 158 0.5× 1.3k 4.4× 149 3.6k
Xihong Wu China 25 214 0.3× 279 0.5× 312 0.8× 98 0.3× 106 0.3× 218 2.2k
Jue Wang China 34 125 0.2× 436 0.8× 258 0.7× 56 0.2× 308 1.0× 143 3.4k
Richard Granger United States 33 95 0.1× 1.2k 2.1× 910 2.4× 77 0.2× 206 0.7× 106 3.6k
Rosa H. M. Chan Hong Kong 27 248 0.3× 671 1.2× 240 0.6× 31 0.1× 110 0.4× 121 2.6k
Ueli Rutishauser United States 35 958 1.2× 1.1k 2.0× 184 0.5× 57 0.2× 253 0.8× 84 4.3k
Armando Barreto United States 30 478 0.6× 126 0.2× 221 0.6× 20 0.1× 211 0.7× 185 3.2k
Christopher I. Connolly United States 15 873 1.1× 454 0.8× 154 0.4× 19 0.1× 85 0.3× 38 1.9k

Countries citing papers authored by Neil Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Neil Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Johnson. A scholar is included among the top collaborators of Neil Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neil Johnson. Neil Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yiming, et al.. (2021). Accelerating Additive Design With Probabilistic Machine Learning. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 8(1). 8 indexed citations
2.
Lunos, Scott, et al.. (2011). Sniffing out Endodontic Pain: Use of an Intranasal Analgesic in a Randomized Clinical Trial. Journal of Endodontics. 37(4). 439–444. 12 indexed citations
3.
Johnson, Neil, Leah R. Hanson, & William H. Frey. (2010). Trigeminal Pathways Deliver a Low Molecular Weight Drug from the Nose to the Brain and Orofacial Structures. Molecular Pharmaceutics. 7(3). 884–893. 142 indexed citations
4.
Johnson, Neil, et al.. (2005). Advanced Protection for Vulnerable Road Users. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
5.
Sixsmith, Andrew & Neil Johnson. (2004). A smart sensor to detect the falls of the elderly. IEEE Pervasive Computing. 3(2). 42–47. 284 indexed citations
6.
Johnson, Neil, et al.. (2003). Array-based infra-red detection: an enabling technology for people counting, sensing, tracking, and intelligent detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5071. 465–465. 4 indexed citations
7.
Galata, Aphrodite, Neil Johnson, & David Hogg. (2003). Learning structured behaviour models using variable length Markov models. Research Explorer (The University of Manchester). 95–102. 15 indexed citations
8.
Johnson, Neil, Aphrodite Galata, & David Hogg. (2002). The acquisition and use of interaction behaviour models. 866–871. 33 indexed citations
9.
Sumpter, Neil, et al.. (2001). EFFECTIVE ABOVE GROUND DETECTION USING INTELLIGENT ARRAY BASED DETECTORS. 1 indexed citations
10.
Galata, Aphrodite, Neil Johnson, & David Hogg. (2001). Learning Variable-Length Markov Models of Behavior. Computer Vision and Image Understanding. 81(3). 398–413. 179 indexed citations
11.
Galata, Aphrodite, Neil Johnson, & David Hogg. (1999). Learning Behaviour Models of Human Activities. 2.1–2.11. 21 indexed citations
12.
Johnson, Neil, et al.. (1998). Visual Models of Interaction. Research Explorer (The University of Manchester). 2 indexed citations
13.
Rodgers, R.J., et al.. (1997). Resistance of experientially-induced changes in murine plus-maze behaviour to altered retest conditions. Behavioural Brain Research. 86(1). 71–77. 48 indexed citations
14.
Johnson, Neil & R.J. Rodgers. (1996). Ethological analysis of cholecystokinin (CCKA and CCKB) receptor ligands in the elevated plus-maze test of anxiety in mice. Psychopharmacology. 124(4). 355–364. 45 indexed citations
15.
Rodgers, R.J., et al.. (1996). Plus-maze retest profile in mice: Importance of initial stages of trial 1 and response to post-trial cholinergic receptor blockade. Pharmacology Biochemistry and Behavior. 54(1). 41–50. 98 indexed citations
16.
Rodgers, R.J., et al.. (1996). Modulation of plus-maze behaviour in mice by the preferential D3-receptor agonist 7-OH-DPAT. Pharmacology Biochemistry and Behavior. 54(1). 79–84. 27 indexed citations
17.
Rodgers, R.J. & Neil Johnson. (1995). Factor analysis of spatiotemporal and ethological measures in the murine elevated plus-maze test of anxiety. Pharmacology Biochemistry and Behavior. 52(2). 297–303. 674 indexed citations breakdown →
18.
Johnson, Neil & Robin Stevens. (1984). Estrogen treatment increases the oral component of apomorphine-induced stereotypy. European Journal of Pharmacology. 100(2). 181–188. 12 indexed citations
19.
Johnson, Neil & Robin Stevens. (1983). Comparative effects of estradiol stereoisomers on pimozide-induced catalepsy, locomotor activity and body-weight in the rat. Pharmacology Biochemistry and Behavior. 19(5). 801–805. 11 indexed citations
20.
Johnson, Neil & Robin Stevens. (1983). Acute and chronic effects of estrogen treatment on pimozide-induced catalepsy in the rat. Pharmacology Biochemistry and Behavior. 18(1). 31–36. 10 indexed citations

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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