George J. Mpitsos

1.8k total citations
38 papers, 1.4k citations indexed

About

George J. Mpitsos is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Cognitive Neuroscience. According to data from OpenAlex, George J. Mpitsos has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 12 papers in Ecology, Evolution, Behavior and Systematics and 12 papers in Cognitive Neuroscience. Recurrent topics in George J. Mpitsos's work include Cephalopods and Marine Biology (12 papers), Neurobiology and Insect Physiology Research (12 papers) and Plant and Biological Electrophysiology Studies (9 papers). George J. Mpitsos is often cited by papers focused on Cephalopods and Marine Biology (12 papers), Neurobiology and Insect Physiology Research (12 papers) and Plant and Biological Electrophysiology Studies (9 papers). George J. Mpitsos collaborates with scholars based in United States, Finland and Spain. George J. Mpitsos's co-authors include William J. Davis, J. Michael Pinneo, Christopher S. Cohan, Robert Burton, Melody V. S. Siegler, Seppo Soinila, Stephen D. Collins, Andrew D. McClellan, Jeffrey A. McCubbin and Stamatis Agiovlasitis and has published in prestigious journals such as Science, The Journal of Comparative Neurology and Journal of Neurophysiology.

In The Last Decade

George J. Mpitsos

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George J. Mpitsos United States 22 625 424 388 216 165 38 1.4k
RL Calabrese United States 16 1.3k 2.0× 674 1.6× 250 0.6× 270 1.3× 327 2.0× 16 1.8k
P A Getting United States 22 1.4k 2.3× 862 2.0× 296 0.8× 176 0.8× 571 3.5× 24 2.0k
Maurice Moulins France 27 1.7k 2.7× 951 2.2× 252 0.6× 617 2.9× 239 1.4× 64 2.4k
Mark Nelson United States 26 331 0.5× 770 1.8× 227 0.6× 184 0.9× 281 1.7× 59 2.5k
T. H. Bullock United States 27 559 0.9× 829 2.0× 153 0.4× 625 2.9× 184 1.1× 50 2.2k
Harold M. Pinsker United States 25 1.9k 3.0× 1.0k 2.4× 558 1.4× 462 2.1× 416 2.5× 43 2.8k
Brian Mulloney United States 34 2.1k 3.4× 1.2k 2.9× 440 1.1× 643 3.0× 198 1.2× 71 2.7k
John P. Miller United States 13 607 1.0× 465 1.1× 149 0.4× 123 0.6× 71 0.4× 29 913
Adam L. Taylor United States 17 1.1k 1.7× 877 2.1× 191 0.5× 238 1.1× 289 1.8× 19 1.8k
Itay Hurwitz Israel 18 837 1.3× 649 1.5× 202 0.5× 120 0.6× 110 0.7× 28 1.2k

Countries citing papers authored by George J. Mpitsos

Since Specialization
Citations

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

Fields of papers citing papers by George J. Mpitsos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George J. Mpitsos

This figure shows the co-authorship network connecting the top 25 collaborators of George J. Mpitsos. A scholar is included among the top collaborators of George J. Mpitsos 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 George J. Mpitsos. George J. Mpitsos 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.
Agiovlasitis, Stamatis, Jeffrey A. McCubbin, Joonkoo Yun, George J. Mpitsos, & Michael J. Pavol. (2009). Effects of Down syndrome on three-dimensional motion during walking at different speeds. Gait & Posture. 30(3). 345–350. 88 indexed citations
2.
Mpitsos, George J.. (2000). Attractors: Architects of Network Organization?. Brain Behavior and Evolution. 55(5). 256–277. 10 indexed citations
3.
Soinila, Seppo & George J. Mpitsos. (1996). Putative neuroendocrine cells in the Aplysia cerebral ganglion. Neuroscience Research. 25(3). 209–216. 4 indexed citations
4.
Mpitsos, George J.. (1994). The Chaos User’s Tool Kit. Integrative Psychological and Behavioral Science. 29(3). 307–310. 4 indexed citations
5.
Andrade, Miguel Ángel Gutiérrez, Juan Carlos Nuño, Federico Morán, Francisco Montero, & George J. Mpitsos. (1993). Complex dynamics of a catalytic network having faulty replication into error-species. Physica D Nonlinear Phenomena. 63(1-2). 21–40. 24 indexed citations
6.
Soinila, Seppo & George J. Mpitsos. (1991). Immunohistochemistry of Diverging and Converging Neurotransmitter Systems in Mollusks. Biological Bulletin. 181(3). 484–499. 36 indexed citations
7.
Soinila, Seppo, Nils Bäck, & George J. Mpitsos. (1991). Distribution of Met5-enkephalin-Arg6-Gly7-Leu8-immunoreactivity in the rat and mouse pituitary gland. Regulatory Peptides. 36(2). 271–281. 6 indexed citations
8.
Soinila, Seppo, George J. Mpitsos, & Pertti Panula. (1990). Comparative study of histamine immunoreactivity in nervous systems of Aplysia and Pleurobranchaea. The Journal of Comparative Neurology. 298(1). 83–96. 20 indexed citations
9.
Mpitsos, George J.. (1990). Neural connections, mental computations. Neural Networks. 3(2). 237–241. 34 indexed citations
10.
Mpitsos, George J., et al.. (1988). Connectionist networks learn to transmit chaos. Brain Research Bulletin. 21(3). 539–546. 26 indexed citations
11.
Mpitsos, George J., et al.. (1988). Evidence for chaos in spike trains of neurons that generate rhythmic motor patterns. Brain Research Bulletin. 21(3). 529–538. 82 indexed citations
12.
Mpitsos, George J., et al.. (1988). Muscarinic antagonist enhances one-trial food-aversion learning in the mollusc Pleurobranchaea. Brain Research Bulletin. 21(2). 169–179. 11 indexed citations
13.
Murray, Thomas F. & George J. Mpitsos. (1988). Evidence for heterogeneity of muscarinic receptors in the mollusc Pleurobranchaea. Brain Research Bulletin. 21(2). 181–190. 8 indexed citations
14.
Mpitsos, George J. & Christopher S. Cohan. (1986). Differential Pavlovian conditioning in the mollusc Pleurobranchaea. Journal of Neurobiology. 17(5). 487–497. 17 indexed citations
15.
Barker, David, Thomas F. Murray, Joseph F. Siebenaller, & George J. Mpitsos. (1986). Characterization of Muscarinic Cholinergic Receptors in the Crab Nervous System. Journal of Neurochemistry. 46(2). 583–588. 14 indexed citations
16.
Mpitsos, George J.. (1978). Musculotendinous receptors in conscious human behavior: experimental factors. Behavioral and Brain Sciences. 1(1). 157–158.
17.
Davis, William J., George J. Mpitsos, J. Michael Pinneo, & Jeffrey L. Ram. (1977). Modification of the behavioral hierarchy ofPleurobranchaea. Journal of Comparative Physiology A. 117(1). 99–125. 52 indexed citations
18.
Mpitsos, George J.. (1976). Response :Conditioning of Pleurobranchaea. Science. 193(4247). 73–74. 3 indexed citations
19.
Siegler, Melody V. S., et al.. (1973). Distributed neuronal oscillators and efference copy in the feeding system of Pleurobranchaea.. Journal of Neurophysiology. 36(2). 258–274. 99 indexed citations
20.
Mellon, DeForest & George J. Mpitsos. (1967). Response Heterogeneity in Adductor Muscle Efferents of the Surf Clam*. Journal of Experimental Biology. 46(3). 585–597. 8 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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