James King

2.9k total citations
28 papers, 461 citations indexed

About

James King is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Ocean Engineering. According to data from OpenAlex, James King has authored 28 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Electrical and Electronic Engineering and 7 papers in Ocean Engineering. Recurrent topics in James King's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers) and Drilling and Well Engineering (6 papers). James King is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers) and Drilling and Well Engineering (6 papers). James King collaborates with scholars based in United States, Switzerland and Canada. James King's co-authors include Henry Markram, Eilif Müller, Kamel Khalili, Michael Reimann, Srikanth Ramaswamy, Luis Del Valle, Nune Darbinian, Jerome Y. Lettvin, Edward R. Gruberg and Gary L. Gallia and has published in prestigious journals such as Nature Communications, The Journal of Physiology and Oncogene.

In The Last Decade

James King

25 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James King United States	14	226	156	91	86	31	28	461
Hiroshi Kameda Japan	17	190 0.8×	333 2.1×	249 2.7×	96 1.1×	23 0.7×	77	927
Benjamin D. Evans United Kingdom	11	131 0.6×	55 0.4×	82 0.9×	52 0.6×	12 0.4×	25	426
Michael Reimann Switzerland	11	510 2.3×	297 1.9×	78 0.9×	95 1.1×	50 1.6×	45	762
Aleksandar Zlateski United States	11	125 0.6×	136 0.9×	150 1.6×	54 0.6×	88 2.8×	18	546
Tim C. Lei United States	14	104 0.5×	174 1.1×	126 1.4×	49 0.6×	128 4.1×	48	658
Hanlin Tang United States	11	213 0.9×	35 0.2×	47 0.5×	91 1.1×	13 0.4×	37	620
Robert Clewley United States	10	334 1.5×	121 0.8×	113 1.2×	43 0.5×	8 0.3×	14	533
Geir Halnes Norway	15	293 1.3×	280 1.8×	104 1.1×	74 0.9×	10 0.3×	34	605
Hidenobu Mizuno Japan	17	203 0.9×	602 3.9×	371 4.1×	52 0.6×	40 1.3×	41	1.0k
Kisuk Lee United States	6	129 0.6×	135 0.9×	132 1.5×	36 0.4×	83 2.7×	13	414

Countries citing papers authored by James King

Since Specialization

Citations

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

Fields of papers citing papers by James King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James King

This figure shows the co-authorship network connecting the top 25 collaborators of James King. A scholar is included among the top collaborators of James King 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 James King. James King 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

Ecker, András, Giuseppe Chindemi, James King, et al.. (2024). Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome. eLife. 13. 1 indexed citations

Chindemi, Giuseppe, Marwan Abdellah, Oren Amsalem, et al.. (2022). A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications. 13(1). 3038–3038. 41 indexed citations

Kumbhar, Pramod, Salvador Durá-Bernal, James King, et al.. (2022). Modernizing the NEURON Simulator for Sustainability, Portability, and Performance. Frontiers in Neuroinformatics. 16. 884046–884046. 22 indexed citations

Chen, Wei-Liang, et al.. (2022). STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale. Frontiers in Neuroinformatics. 16. 883742–883742. 1 indexed citations

Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2020). The SONATA data format for efficient description of large-scale network models. PLoS Computational Biology. 16(2). e1007696–e1007696. 29 indexed citations

Nolte, Max, Michael Reimann, James King, Henry Markram, & Eilif Müller. (2019). Cortical reliability amid noise and chaos. Nature Communications. 10(1). 3792–3792. 31 indexed citations

Reimann, Michael, James King, Eilif Müller, Srikanth Ramaswamy, & Henry Markram. (2015). An algorithm to predict the connectome of neural microcircuits. Frontiers in Computational Neuroscience. 9. 120–120. 68 indexed citations

Ramaswamy, Srikanth, Sean Hill, James King, et al.. (2011). Intrinsic morphological diversity of thick‐tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections. The Journal of Physiology. 590(4). 737–752. 33 indexed citations

King, James, et al.. (2010). New Technology in the Bakken Play Increases the Number of Stages in Packer/Sleeve Completions. SPE Western Regional Meeting. 13 indexed citations

10.

King, James. (2009). A Component-Based Extension Framework for Large-Scale Parallel Simulations in NEURON. Frontiers in Neuroinformatics. 3. 10–10. 18 indexed citations

11.

Harris, J. S., et al.. (2006). A novel parallel hardware and software solution for a large-scale biologically realistic cortical simulation.. 72–77. 4 indexed citations

12.

King, James, et al.. (2004). Summary of Remotely Actuated Disappearing Plug Technology in Deepwater Wells. Offshore Technology Conference. 3 indexed citations

13.

King, James, et al.. (2004). A Methodology for Selecting Interventionless Packer Setting Techniques. SPE Annual Technical Conference and Exhibition. 1 indexed citations

14.

King, James, et al.. (2002). Mudline Tubing Hanger Experience in Auger-Gulf of Mexico Wells. SPE Annual Technical Conference and Exhibition. 1 indexed citations

15.

King, James & Kamel Khalili. (2001). Inhibition of human brain tumor cell growth by the anti-inflammatory drug, flurbiprofen. Oncogene. 20(47). 6864–6870. 42 indexed citations

16.

Darbinian, Nune, et al.. (2001). Growth inhibition of glioblastoma cells by human Purα. Journal of Cellular Physiology. 189(3). 334–340. 49 indexed citations

17.

King, James, Jerome Y. Lettvin, & Edward R. Gruberg. (1999). Selective, unilateral, reversible loss of behavioral responses to looming stimuli after injection of tetrodotoxin or cadmium chloride into the frog optic nerve. Brain Research. 841(1-2). 20–26. 25 indexed citations

18.

King, James, et al.. (1997). Fire Truck Visibility: Red may not be the most visible color, considering the rate of accident involvement with fire trucks. Ergonomics in Design The Quarterly of Human Factors Applications. 5(2). 4–10. 8 indexed citations

19.

King, James & Adegboyega Ojo. (1984). SOME PRACTICAL ASPECTS OF ANCHORING LARGE SHIPS. 126. 2 indexed citations

20.

King, James. (1973). The use of small airplanes to gather swan data in Alaska. Wildfowl (Wildfowl & Wetlands Trust). 24(24). 15–20. 5 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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