Haim Sompolinsky publications per year

The chart shows the history of publications by Haim Sompolinsky between 1975 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Haim Sompolinsky published across 51 years, from 1975 to 2025, averaging 4.8 papers a year. Output peaked at 11 publications in 2021. 16 of the 247 publications appeared in the last two years.

No. of publications

2 4 6 8 10

1975 2025

247 publications in total across all disciplines

View publications per year as a table

Haim Sompolinsky: publications per year, 1975 to 2025
Year	Publications
1975	2
1976	4
1977	1
1978	0
1979	1
1980	1
1981	5
1982	6
1983	5
1984	3
1985	6
1986	6
1987	9
1988	6
1989	4
1990	6
1991	2
1992	8
1993	8
1994	4
1995	3
1996	4
1997	5
1998	5
1999	2
2000	4
2001	5
2002	2
2003	6
2004	4
2005	4
2006	5
2007	4
2008	2
2009	4
2010	8
2011	3
2012	2
2013	2
2014	10
2015	3
2016	8
2017	2
2018	8
2019	3
2020	10
2021	11
2022	11
2023	4
2024	10
2025	6
Total	247

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Haim Sompolinsky publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Haim Sompolinsky sits on this spectrum.

No. of scientists

100 200 300 400

38–47 publications 804+

This scientist: 194 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table

Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications	Scientists	This scientist
38–47	20
48–57	35
58–67	96
68–77	135
78–87	190
88–97	259
98–107	283
108–117	369
118–127	341
128–137	386
138–147	372
148–157	457
158–167	415
168–177	407
178–187	421
188–197	378	194
198–207	403
208–217	317
218–227	346
228–237	321
238–247	260
248–257	280
258–267	240
268–277	214
278–287	242
288–297	203
298–307	166
308–317	154
318–327	175
328–337	159
338–347	99
348–357	131
358–367	106
368–377	118
378–387	97
388–397	108
398–407	82
408–417	71
418–427	64
428–437	55
438–447	54
448–457	60
458–467	47
468–477	40
478–487	30
488–497	29
498–507	38
508–517	40
518–527	32
528–537	23
538–547	28
548–557	23
558–567	19
568–577	16
578–587	17
588–597	18
598–607	22
608–617	15
618–627	9
628–637	11
638–647	21
648–657	12
658–667	9
668–677	11
678–687	9
688–697	6
698–707	14
708–717	7
718–727	8
728–737	10
738–747	9
748–757	5
758–767	5
768–777	11
778–787	7
788–797	2
798–803	4
804+	100

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Haim Sompolinsky D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Haim Sompolinsky sits on this spectrum.

No. of scientists

100 200 300 400

30 D-Index 107+

This scientist: 76 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table

Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index	Scientists	This scientist
30	59
31	114
32	129
33	189
34	200
35	262
36	311
37	312
38	350
39	385
40	348
41	362
42	426
43	380
44	310
45	341
46	301
47	306
48	271
49	246
50	210
51	253
52	213
53	221
54	195
55	186
56	170
57	167
58	166
59	144
60	152
61	141
62	138
63	131
64	118
65	114
66	119
67	95
68	87
69	77
70	89
71	69
72	54
73	46
74	55
75	54
76	49	76
77	53
78	46
79	28
80	39
81	36
82	24
83	26
84	36
85	18
86	25
87	19
88	26
89	27
90	23
91	15
92	12
93	9
94	15
95	10
96	13
97	13
98	9
99	7
100	7
101	8
102	7
103	7
104	9
105	6
106	9
107+	99

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Research.com Recognitions

2026 - Research.com Engineering and Technology in Israel Leader Award
2026 - Research.com Neuroscience in Israel Leader Award
2023 - Research.com Engineering and Technology in Israel Leader Award
2022 - Research.com Engineering and Technology in Israel Leader Award
2013 - Mathematical Neuroscience Prize, Israel Brain Technologies (IBT)
2011 - Swartz Prize for Theoretical and Computational Neuroscience
2008 - Fellow of the American Academy of Arts and Sciences
Member of the European Molecular Biology Organization (EMBO)
Member of the European Molecular Biology Organization (EMBO)
Member of the European Molecular Biology Organization (EMBO)
Member of the European Molecular Biology Organization (EMBO)
Member of the European Molecular Biology Organization (EMBO)
Member of the European Molecular Biology Organization (EMBO)
Member of the European Molecular Biology Organization (EMBO)

Overview

Haim Sompolinsky is affiliated with Harvard University in the United States. Their research spans multiple disciplines, notably Neuroscience and Computer Science, with significant contributions in subfields such as Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, and Cellular and Molecular Neuroscience.

The core topics of Sompolinsky's work encompass Neural Networks and Applications, Neural dynamics and brain function, Visual perception and processing mechanisms, Advanced Memory and Neural Computing, Memory and Neural Mechanisms, stochastic dynamics and bifurcation, and Neuroscience and Neuropharmacology Research.

Sompolinsky has published extensively in venues including arXiv (Cornell University) with 13 publications and bioRxiv (Cold Spring Harbor Laboratory) with 7 publications. Other frequent publication platforms include Physical Review E, Nature Communications, and Proceedings of the National Academy of Sciences.

Among recent papers are:

Separability and geometry of object manifolds in deep neural networks, 2020, Nature Communications
Locally ordered representation of 3D space in the entorhinal cortex, 2021, Nature
Neural representational geometry underlies few-shot concept learning, 2022, Proceedings of the National Academy of Sciences
Neural Correlates of Learning Pure Tones or Natural Sounds in the Auditory Cortex, 2020, Frontiers in Neural Circuits
Object manifold geometry across the mouse cortical visual hierarchy, 2020, bioRxiv (Cold Spring Harbor Laboratory)

Frequent coauthors collaborating with Sompolinsky include:

Ben Sorscher
Qianyi Li
Uri Cohen
Julia Steinberg
Haozhe Shan

Their work has been recognized through awards such as the Mathematical Neuroscience Prize from Israel Brain Technologies in 2013, the Swartz Prize for Theoretical and Computational Neuroscience in 2011, election as a Fellow of the American Academy of Arts and Sciences in 2008, and membership in the European Molecular Biology Organization (EMBO).

Best Publications

Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity

C. van Vreeswijk;H. Sompolinsky

2223
Citations
Query by committee

H. S. Seung;M. Opper;H. Sompolinsky

2134
Citations
Spin-glass models of neural networks.

Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

1603
Citations
Storing infinite numbers of patterns in a spin-glass model of neural networks.

Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

1465
Citations
Theory of orientation tuning in visual cortex.

R Ben-Yishai;R L Bar-Or;H Sompolinsky

1378
Citations
Chaos in random neural networks.

H. Sompolinsky;H. Sompolinsky;A. Crisanti;A. Crisanti;H. J. Sommers

1280
Citations
Statistical mechanics of neural networks near saturation

Daniel J Amit;Hanoch Gutfreund;H Sompolinsky

1110
Citations
The tempotron: a neuron that learns spike timing–based decisions

Robert Gütig;Haim Sompolinsky;Haim Sompolinsky;Haim Sompolinsky

949
Citations
Chaotic balanced state in a model of cortical circuits

C. van Vreeswijk;H. Sompolinsky

875
Citations
Simple models for reading neuronal population codes

H S Seung;H Sompolinsky

776
Citations
Temporal association in asymmetric neural networks.

H. Sompolinsky;I. Kanter

710
Citations
Statistical mechanics of learning from examples

Hyunjune Sebastian Seung;Hyunjune Sebastian Seung;H. Sompolinsky;H. Sompolinsky;N. Tishby

676
Citations
Relaxational dynamics of the Edwards-Anderson model and the mean-field theory of spin-glasses

H. Sompolinsky;Annette Zippelius

610
Citations
Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity

R. Gütig;R. Aharonov;S. Rotter;Haim Sompolinsky;Haim Sompolinsky

510
Citations
Associative recall of memory without errors

I. Kanter;H. Sompolinsky

482
Citations
Spectrum of large random asymmetric matrices

H. J. Sommers;A. Crisanti;H. Sompolinsky;Y. Stein

456
Citations
Information storage in neural networks with low levels of activity

Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

416
Citations
Synchronization and computation in a chaotic neural network.

D. Hansel;H. Sompolinsky

407
Citations
Population coding in neuronal systems with correlated noise.

Haim Sompolinsky;Hyoungsoo Yoon;Kukjin Kang;Maoz Shamir

407
Citations
Optimal Degrees of Synaptic Connectivity

Ashok Litwin-Kumar;Kameron Decker Harris;Richard Axel;Richard Axel;Haim Sompolinsky;Haim Sompolinsky;Haim Sompolinsky

387
Citations
Bistability of cerebellar Purkinje cells modulated by sensory stimulation.

Yonatan Loewenstein;Séverine Mahon;Paul Chadderton;Kazuo Kitamura

385
Citations
Equilibrium properties of temporally asymmetric Hebbian plasticity.

Jonathan Rubin;Daniel D. Lee;H. Sompolinsky;H. Sompolinsky

385
Citations