Sumit Chopra publications per year

The chart shows the history of publications by Sumit Chopra between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sumit Chopra published across 25 years, from 2001 to 2025, averaging 4.4 papers a year. Output peaked at 18 publications in 2024. 32 of the 110 publications appeared in the last two years.

No. of publications

5 10 15

2001 2025

110 publications in total across all disciplines

View publications per year as a table

Sumit Chopra: publications per year, 2001 to 2025
Year	Publications
2001	1
2002	0
2003	1
2004	0
2005	1
2006	3
2007	3
2008	2
2009	0
2010	4
2011	4
2012	4
2013	2
2014	8
2015	10
2016	10
2017	6
2018	4
2019	2
2020	2
2021	2
2022	1
2023	8
2024	18
2025	14
Total	110

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Sumit Chopra 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 Sumit Chopra sits on this spectrum.

No. of scientists

100 200 300 400

38–47 publications 804+

This scientist: 72 publications — 2nd percentile

2% 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	72
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
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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Sumit Chopra 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 Sumit Chopra sits on this spectrum.

No. of scientists

100 200 300 400

30 D-Index 107+

This scientist: 33 D-Index — 5th percentile

5% 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	33
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
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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Overview

Sumit Chopra is affiliated with New York University in the United States. Their research primarily spans the field of Medicine, with a concentrated focus on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering, and Computer Vision and Pattern Recognition.

The scientist's recent publications cover a range of topics related to medical imaging and machine learning applications in healthcare. Notable papers include:

Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs, 2020, npj Digital Medicine
FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging, 2024, Scientific Data
Virtualization In Cloud Computing: A Review, 2020, International Journal of Scientific Research in Computer Science Engineering and Information Technology
Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI, 2025, Journal of Magnetic Resonance Imaging
Pancreatic Cystic Lesions, 2023, Gastrointestinal Endoscopy Clinics of North America

Their research topics predominantly involve radiomics and machine learning in medical imaging, medical imaging techniques and applications, prostate cancer diagnosis and treatment, advanced MRI techniques and applications, advanced X-ray and CT imaging, MRI in cancer diagnosis, and artificial intelligence in healthcare and education.

Frequent co-authors collaborating with Sumit Chopra include:

Daniel K. Sodickson
Hersh Chandarana
Angela Tong
Tarun Dutt
Luke Ginocchio

Common publication venues for their work include:

arXiv (Cornell University)
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
International Journal of Security and Networks
npj Digital Medicine
Scientific Data

Best Publications

Dimensionality Reduction by Learning an Invariant Mapping

R. Hadsell;S. Chopra;Y. LeCun

5400
Citations
Learning a similarity metric discriminatively, with application to face verification

S. Chopra;R. Hadsell;Y. LeCun

4750
Citations
A Neural Attention Model for Abstractive Sentence Summarization

Alexander M. Rush;Sumit Chopra;Jason Weston

2872
Citations
Efficient Learning of Sparse Representations with an Energy-Based Model

Marc'aurelio Ranzato;Christopher Poultney;Sumit Chopra;Yann L. Cun

1747
Citations
Memory Networks

Jason Weston;Sumit Chopra;Antoine Bordes

1573
Citations
Sequence Level Training with Recurrent Neural Networks

Marc'Aurelio Ranzato;Sumit Chopra;Michael Auli;Wojciech Zaremba

1344
Citations
A Tutorial on Energy-Based Learning

Yann LeCun;Sumit Chopra;Raia Hadsell;Aurelio Ranzato

1099
Citations
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

Sumit Chopra;Michael Auli;Alexander M. Rush

1031
Citations
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Jason Weston;Antoine Bordes;Sumit Chopra;Alexander M. Rush

836
Citations
Question Answering with Subgraph Embeddings

Antoine Bordes;Sumit Chopra;Jason Weston

832
Citations
Large-scale Simple Question Answering with Memory Networks

Antoine Bordes;Nicolas Usunier;Sumit Chopra;Jason Weston

738
Citations
Deep neural network improves fracture detection by clinicians.

Robert V. Lindsey;Aaron Daluiski;Sumit Chopra;Alexander Lachapelle

593
Citations
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations

Felix Hill;Antoine Bordes;Sumit Chopra;Jason Weston

592
Citations
Video (language) modeling: a baseline for generative models of natural videos.

Marc'Aurelio Ranzato;Arthur Szlam;Joan Bruna;Michaël Mathieu

507
Citations
StarSpace: Embed All The Things!

Ledell Yu Wu;Adam Fisch;Sumit Chopra;Keith Adams

275
Citations
Learning Longer Memory in Recurrent Neural Networks

Tomas Mikolov;Armand Joulin;Sumit Chopra;Michael Mathieu

230
Citations
DLID: Deep Learning for Domain Adaptation by Interpolating between Domains

Sumit Chopra;Suhrid Balakrishnan;Raghuraman Gopalan

214
Citations
#TagSpace: Semantic Embeddings from Hashtags

Jason Weston;Sumit Chopra;Keith Adams

199
Citations
Collaborative ranking

Suhrid Balakrishnan;Sumit Chopra

195
Citations
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems

Jesse Dodge;Andreea Gane;Xiang Zhang;Antoine Bordes

183
Citations