Dileep George

2.4k total citations
42 papers, 1.3k citations indexed

About

Dileep George is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dileep George has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Cognitive Neuroscience and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dileep George's work include Neural dynamics and brain function (9 papers), Neural Networks and Applications (8 papers) and Antifungal resistance and susceptibility (5 papers). Dileep George is often cited by papers focused on Neural dynamics and brain function (9 papers), Neural Networks and Applications (8 papers) and Antifungal resistance and susceptibility (5 papers). Dileep George collaborates with scholars based in United States, Canada and United Kingdom. Dileep George's co-authors include Jeff Hawkins, Vincent T. Andriole, Peggy Miniter, Miguel Lázaro-Gredilla, David G. Muñoz, Thomas F. Patterson, J. Swaroop Guntupalli, Darren D Henry, Xinghua Lou and Huayan Wang and has published in prestigious journals such as Science, Nature Communications and Journal of Neuroscience.

In The Last Decade

Dileep George

40 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dileep George United States	18	406	340	197	182	146	42	1.3k
Weimin Zheng China	23	445 1.1×	92 0.3×	28 0.1×	107 0.6×	167 1.1×	103	1.7k
Bruno da Silva Belgium	14	169 0.4×	46 0.1×	67 0.3×	77 0.4×	292 2.0×	87	1.1k
Irena Ćosić Australia	24	267 0.7×	53 0.2×	99 0.5×	36 0.2×	191 1.3×	104	1.5k
Zhilu Chen China	19	199 0.5×	129 0.4×	46 0.2×	287 1.6×	30 0.2×	69	1.1k
Chen‐Chi Wu Taiwan	30	471 1.2×	68 0.2×	35 0.2×	206 1.1×	27 0.2×	128	2.4k
Jack Li United States	22	72 0.2×	190 0.6×	28 0.1×	213 1.2×	68 0.5×	72	2.3k
Tong Chen China	22	161 0.4×	240 0.7×	67 0.3×	555 3.0×	7 0.0×	102	1.6k
Pengyu Hong United States	29	96 0.2×	272 0.8×	27 0.1×	433 2.4×	252 1.7×	100	2.6k
Huadong Wang China	16	54 0.1×	207 0.6×	64 0.3×	22 0.1×	78 0.5×	55	920
Timo Torsten Schmidt Germany	20	481 1.2×	155 0.5×	12 0.1×	278 1.5×	246 1.7×	55	1.5k

Countries citing papers authored by Dileep George

Since Specialization

Citations

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

Fields of papers citing papers by Dileep George

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dileep George

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

George, Dileep, et al.. (2025). A detailed theory of thalamic and cortical microcircuits for predictive visual inference. Science Advances. 11(6). eadr6698–eadr6698.

Guntupalli, J. Swaroop, et al.. (2024). Space is a latent sequence: A theory of the hippocampus. Science Advances. 10(31). eadm8470–eadm8470. 6 indexed citations

Bianconi, Ginestra, Edward T. Bullmore, Mark Burgess, et al.. (2023). Neuroscience Needs Network Science. Journal of Neuroscience. 43(34). 5989–5995. 38 indexed citations

George, Dileep, et al.. (2021). Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps. Nature Communications. 12(1). 2392–2392. 40 indexed citations

George, Dileep, Miguel Lázaro-Gredilla, & J. Swaroop Guntupalli. (2020). From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence. Frontiers in Computational Neuroscience. 14. 554097–554097. 12 indexed citations

Silver, Tom, et al.. (2017). Schema networks: zero-shot transfer with a generative causal model of intuitive physics. International Conference on Machine Learning. 1809–1818. 8 indexed citations

George, Dileep, Miguel Lázaro-Gredilla, Bhaskara Marthi, et al.. (2017). A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs. Science. 358(6368). 151 indexed citations

George, Dileep & Jeff Hawkins. (2009). Towards a Mathematical Theory of Cortical Micro-circuits. PLoS Computational Biology. 5(10). e1000532–e1000532. 252 indexed citations

Yang, Wenqing, Donna L. Senger, Huong Muzik, et al.. (2004). Reovirus as an experimental therapeutic for brain and leptomeningeal metastases from breast cancer. Gene Therapy. 11(21). 1579–1589. 37 indexed citations

10.

George, Dileep & Friedrich T. Sommer. (2004). Computing with inter-spike interval codes in networks of integrate and fire neurons. Neurocomputing. 65-66. 415–420. 5 indexed citations

11.

Langley, Pat, Dileep George, Stephen D. Bay, & Kazumi Saito. (2003). Robust induction of process models from time-series data. International Conference on Machine Learning. 432–439. 12 indexed citations

12.

Uitti, Ryan J., et al.. (1997). Amantadine effectiveness in multiple system atrophy and progressive supranuclear palsy. Parkinsonism & Related Disorders. 3(4). 211–214. 29 indexed citations

13.

Rajput, A. H., et al.. (1997). Concordance of common movement disorders among familial cases. Movement Disorders. 12(5). 747–751. 6 indexed citations

14.

George, Dileep & J B Bussel. (1995). Neonatal Thrombocytopenia. Seminars in Thrombosis and Hemostasis. 21(3). 276–293. 18 indexed citations

15.

George, Dileep, Dorsey L. Kordick, Peggy Miniter, Thomas F. Patterson, & Vincent T. Andriole. (1993). Combination Therapy in Experimental Invasive Aspergillosis. The Journal of Infectious Diseases. 168(3). 692–698. 46 indexed citations

16.

Patterson, Thomas F., Dileep George, Peggy Miniter, & Vincent T. Andriole. (1991). The Role of Fluconazole in the Early Treatment and Prophylaxis of Experimental Invasive Aspergillosis. The Journal of Infectious Diseases. 164(3). 575–580. 23 indexed citations

17.

Ang, L. C., et al.. (1991). SMI-32 immunoreactivity in human striate cortex during postnatal development. Developmental Brain Research. 61(1). 103–109. 33 indexed citations

18.

George, Dileep & David G. Muñoz. (1991). A new syndrome of mental retardation and epilepsy characterized by dense microsphere accumulation. Acta Neuropathologica. 83(1). 92–94. 1 indexed citations

19.

Muñoz, David G., et al.. (1990). Chromogranin A-like immunoreactivity in the human brain: Distribution in bulbar medulla and cerebral cortex. Neuroscience. 34(3). 533–543. 62 indexed citations

20.

George, Dileep, et al.. (1990). Megalencephaly in the epileptic chicken: a morphometric study of the adult brain. Neuroscience. 39(2). 471–477. 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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