Melody Moore Jackson

1.2k total citations
54 papers, 816 citations indexed

About

Melody Moore Jackson is a scholar working on Genetics, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Melody Moore Jackson has authored 54 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 24 papers in Human-Computer Interaction and 21 papers in Cognitive Neuroscience. Recurrent topics in Melody Moore Jackson's work include Human-Animal Interaction Studies (25 papers), EEG and Brain-Computer Interfaces (14 papers) and Innovative Human-Technology Interaction (11 papers). Melody Moore Jackson is often cited by papers focused on Human-Animal Interaction Studies (25 papers), EEG and Brain-Computer Interfaces (14 papers) and Innovative Human-Technology Interaction (11 papers). Melody Moore Jackson collaborates with scholars based in United States, United Kingdom and Israel. Melody Moore Jackson's co-authors include Thad Starner, Gerwin Schalk, Dennis J. McFarland, Brendan Z. Allison, Jonathan R. Wolpaw, Larry Freil, Clint Zeagler, Adriane B. Randolph, Scott Gilliland and S.G. Mason and has published in prestigious journals such as Clinical Neurophysiology, Journal of the Association for Information Systems and Annals of Biomedical Engineering.

In The Last Decade

Melody Moore Jackson

49 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melody Moore Jackson United States 16 382 308 296 194 129 54 816
Päivi Majaranta Finland 19 723 1.9× 1.2k 4.0× 53 0.2× 36 0.2× 78 0.6× 46 1.5k
Clint Zeagler United States 13 215 0.6× 510 1.7× 175 0.6× 2 0.0× 133 1.0× 29 785
Sean Mealin United States 12 58 0.2× 95 0.3× 174 0.6× 3 0.0× 43 0.3× 20 338
Takatomi Kubo Japan 11 66 0.2× 23 0.1× 117 0.4× 5 0.0× 77 0.6× 45 485
Roshan Lalintha Peiris Japan 16 578 1.5× 770 2.5× 31 0.1× 5 0.0× 181 1.4× 100 1.1k
Scott Gilliland United States 14 183 0.5× 389 1.3× 105 0.4× 89 0.7× 24 634
Poika Isokoski Finland 23 881 2.3× 1.3k 4.2× 17 0.1× 11 0.1× 140 1.1× 86 1.6k
Andrew Crossan United Kingdom 17 395 1.0× 460 1.5× 16 0.1× 8 0.0× 48 0.4× 30 834
Adriana Olmos Canada 7 218 0.6× 28 0.1× 17 0.1× 22 0.1× 79 0.6× 15 435
Neil Mennie United States 9 796 2.1× 319 1.0× 20 0.1× 35 0.2× 227 1.8× 17 1.1k

Countries citing papers authored by Melody Moore Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Melody Moore Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melody Moore Jackson. 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 Melody Moore Jackson. The network helps show where Melody Moore Jackson may publish in the future.

Co-authorship network of co-authors of Melody Moore Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Melody Moore Jackson. A scholar is included among the top collaborators of Melody Moore Jackson 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 Melody Moore Jackson. Melody Moore Jackson 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.
Linden, Dirk van der, et al.. (2025). Non-invasive canine electroencephalography (EEG): a systematic review. BMC Veterinary Research. 21(1). 73–73. 3 indexed citations
2.
3.
4.
5.
Jackson, Melody Moore, et al.. (2023). AccelerATE: Accelerometer Based Quantification of Dog Chewing. 1–8.
6.
Linden, Dirk van der, et al.. (2023). Non-invasive canine electroencephalography (EEG): a systematic review. bioRxiv (Cold Spring Harbor Laboratory). 1 indexed citations
7.
Starner, Thad, et al.. (2023). Wireless Sensor Collar for Automatic Recognition of Canine Agility Activities. 124–128. 1 indexed citations
8.
Starner, Thad, et al.. (2022). Quantifying canine interactions with smart toys assesses suitability for service dog work. Frontiers in Veterinary Science. 9. 886941–886941. 3 indexed citations
9.
Starner, Thad, et al.. (2022). Detecting Canine Mastication: A Wearable Approach. 1–11. 2 indexed citations
10.
Zeagler, Clint, Peter Presti, Elizabeth D. Mynatt, Thad Starner, & Melody Moore Jackson. (2021). Proprioceptively displayed interfaces: aiding non-visual on-body input through active and passive touch. Personal and Ubiquitous Computing. 25(3). 551–569. 2 indexed citations
11.
Abowd, Gregory D., et al.. (2016). Training collar-sensed gestures for canine communication. 1–4. 3 indexed citations
12.
Zeagler, Clint, et al.. (2016). Search and rescue. 1–9. 36 indexed citations
13.
Zeagler, Clint, et al.. (2016). Canine computer interaction. 1–5. 25 indexed citations
14.
Jackson, Melody Moore, et al.. (2015). The challenges of wearable computing for working dogs. SMARTech Repository (Georgia Institute of Technology). 1279–1284. 8 indexed citations
15.
Nguyen, Brian T., et al.. (2015). Leveraging Mobile Technology to Increase the Permanent Adoption of Shelter Dogs. 463–469. 19 indexed citations
16.
Allison, Brendan Z., et al.. (2008). Towards an independent brain–computer interface using steady state visual evoked potentials. Clinical Neurophysiology. 119(2). 399–408. 232 indexed citations
17.
Jackson, Melody Moore & Adriane B. Randolph. (2007). Individual-technology fit: matching individual characteristics and features of biometric interface technologies with performance. 1 indexed citations
18.
Randolph, Adriane B., et al.. (2006). Towards Predicting Control of a Brain-Computer Interface. Journal of the Association for Information Systems. 53. 20 indexed citations
19.
Jackson, Melody Moore, S.G. Mason, & Gary E. Birch. (2006). Analyzing Trends in Brain Interface Technology: A Method to Compare Studies. Annals of Biomedical Engineering. 34(5). 859–878. 10 indexed citations
20.
Mason, S.G., Melody Moore Jackson, & Gary E. Birch. (2005). A General Framework for Characterizing Studies of Brain Interface Technology. Annals of Biomedical Engineering. 33(11). 1653–1670. 33 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Päivi Majaranta Breakdown of academic impact, for papers by Clint Zeagler Breakdown of academic impact, for papers by Sean Mealin Breakdown of academic impact, for papers by Takatomi Kubo Breakdown of academic impact, for papers by Roshan Lalintha Peiris Breakdown of academic impact, for papers by Scott Gilliland Breakdown of academic impact, for papers by Poika Isokoski Breakdown of academic impact, for papers by Andrew Crossan Breakdown of academic impact, for papers by Adriana Olmos Breakdown of academic impact, for papers by Neil Mennie
Rankless by CCL
2026