John C. Murray

402 total citations
20 papers, 282 citations indexed

About

John C. Murray is a scholar working on Social Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, John C. Murray has authored 20 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 6 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in John C. Murray's work include Social Robot Interaction and HRI (6 papers), Hemispheric Asymmetry in Neuroscience (2 papers) and Speech and Audio Processing (2 papers). John C. Murray is often cited by papers focused on Social Robot Interaction and HRI (6 papers), Hemispheric Asymmetry in Neuroscience (2 papers) and Speech and Audio Processing (2 papers). John C. Murray collaborates with scholars based in United Kingdom, United States and Japan. John C. Murray's co-authors include George V. Keller, Anna Wilkinson, Thomas W. Pike, Anna Frohnwieser, Stefan Wermter, Robert I. Tilling, Donald W. Peterson, Robert L. Christiansen, Farshad Arvin and Saket Srivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Neural Networks.

In The Last Decade

John C. Murray

18 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John C. Murray United Kingdom	8	92	32	32	30	29	20	282
Anthony J. Clark United States	12	148 1.6×	37 1.2×	78 2.4×	43 1.4×	118 4.1×	44	551
Koji SHIBUYA Japan	10	105 1.1×	22 0.7×	21 0.7×	77 2.6×	37 1.3×	74	549
Jiřı́ Filip Czechia	14	80 0.9×	27 0.8×	26 0.8×	13 0.4×	17 0.6×	59	576
Max Deffenbaugh United States	15	152 1.7×	19 0.6×	27 0.8×	26 0.9×	59 2.0×	61	607
Giovanni Zambon Italy	19	110 1.2×	7 0.2×	19 0.6×	58 1.9×	42 1.4×	90	1.2k
Yingbin Wang China	15	74 0.8×	3 0.1×	45 1.4×	39 1.3×	21 0.7×	38	562
Zhongqiang Sun China	11	15 0.2×	47 1.5×	25 0.8×	29 1.0×	14 0.5×	27	361
Peng Deng China	9	93 1.0×	4 0.1×	21 0.7×	11 0.4×	12 0.4×	31	317
Eva‐Marie Nosal United States	16	41 0.4×	9 0.3×	59 1.8×	32 1.1×	49 1.7×	50	755
Yuhu Liu China	9	62 0.7×	11 0.3×	37 1.2×	4 0.1×	37 1.3×	32	363

Countries citing papers authored by John C. Murray

Since Specialization

Citations

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

Fields of papers citing papers by John C. Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John C. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Murray. A scholar is included among the top collaborators of John C. Murray 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 John C. Murray. John C. Murray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Thio, Tzer Hwai Gilbert, et al.. (2023). Human detection with deep convolutional neural network using down sampled images. AIP conference proceedings. 2929. 50026–50026.

Frohnwieser, Anna, Thomas W. Pike, John C. Murray, & Anna Wilkinson. (2018). Perception of artificial conspecifics by bearded dragons (Pogona vitticeps). Integrative Zoology. 14(2). 214–222. 5 indexed citations

Srivastava, Saket, et al.. (2018). Localisation of Drone Controllers from RF Signals using a Deep Learning Approach. Figshare. 89–97. 19 indexed citations

Frohnwieser, Anna, Thomas W. Pike, John C. Murray, & Anna Wilkinson. (2017). Lateralized Eye Use Towards Video Stimuli in Bearded Dragons (Pogona vitticeps). SHILAP Revista de lepidopterología. 4(3). 340–348. 7 indexed citations

Frohnwieser, Anna, John C. Murray, Thomas W. Pike, & Anna Wilkinson. (2016). Using robots to understand animal cognition. Journal of the Experimental Analysis of Behavior. 105(1). 14–22. 44 indexed citations

Murray, John C., et al.. (2015). Towards an imperfect robot for long-term companionship: case studies using cognitive biases. 8 indexed citations

Arvin, Farshad, et al.. (2014). Development of an autonomous micro robot for swarm robotics. Lincoln Repository (University of Lincoln). 635–640. 25 indexed citations

Murray, John C., Mark Neal, & Frédéric Labrosse. (2013). Development and Deployment of an Intelligent Kite Aerial Photography Platform (iKAPP) for Site Surveying and Image Acquisition. Journal of Field Robotics. 30(2). 288–307. 12 indexed citations

Murray, John C., et al.. (2011). A neural network classifier for notch filter classification of sound-source elevation in a mobile robot. 763–769. 5 indexed citations

10.

Murray, John C., Lola Cañamero, & Antoine Hiolle. (2009). Towards a model of emotion expression in an interactive robot head. University of Hertfordshire Research Archive (University of Hertfordshire). 627–632. 3 indexed citations

11.

Cañamero, Lola, et al.. (2009). The importance of the body in affect-modulated action selection: A case study comparing proximal versus distal perception in a prey-predator scenario. University of Hertfordshire Research Archive (University of Hertfordshire). 1. 1–6. 1 indexed citations

12.

Murray, John C., et al.. (2009). Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks. 22(2). 173–189. 27 indexed citations

13.

Murray, John C. & Lola Cañamero. (2009). Developing preferential attention to a speaker: A robot learning to recognise its carer. University of Hertfordshire Research Archive (University of Hertfordshire). 1701 1999. 77–84. 1 indexed citations

14.

Murray, John C., et al.. (2008). MIRA: A Learning Multimodal Interactive Robot Agent. Lincoln Repository (University of Lincoln). 1. 947–950. 2 indexed citations

15.

Murray, John C., et al.. (2007). Intelligent Kite Aerial Platform for Site Photography. Lincoln Repository (University of Lincoln). 44. 553–558. 1 indexed citations

16.

Murray, John C., et al.. (2006). A recurrent neural network for sound-source motion tracking and prediction. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 4. 2232–2236. 2 indexed citations

17.

Keller, George V., et al.. (1979). Results of an experimental drill hole at the summit of kilauea volcano, Hawaii. Journal of Volcanology and Geothermal Research. 5(3-4). 345–385. 66 indexed citations

18.

Keller, George V., et al.. (1976). Deep Research Drillhole at Kilauea Volcano, Hawaii—Summary. 154–155. 2 indexed citations

19.

Tilling, Robert I., et al.. (1974). A deep research drill hole at the summit of an active volcano, Kilauea, Hawaii. Geophysical Research Letters. 1(7). 323–326. 45 indexed citations

20.

Keller, George V., et al.. (1974). Geophysical Logs From The Kilauea Geothermal Research Drill Hole. 15. 7 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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