Siddhartha Chaudhuri publications per year

The chart shows the history of publications by Siddhartha Chaudhuri between 1975 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Siddhartha Chaudhuri published across 51 years, from 1975 to 2025, averaging 1.8 papers a year. Output peaked at 18 publications in 2021. 6 of the 94 publications appeared in the last two years.

No. of publications

5 10 15

1975 2025

94 publications in total across all disciplines

View publications per year as a table

Siddhartha Chaudhuri: publications per year, 1975 to 2025
Year	Publications
1975	1
1976	0
1977	0
1978	0
1979	0
1980	0
1981	0
1982	0
1983	0
1984	1
1985	0
1986	0
1987	0
1988	0
1989	0
1990	0
1991	0
1992	0
1993	0
1994	0
1995	0
1996	0
1997	0
1998	0
1999	0
2000	0
2001	0
2002	0
2003	0
2004	0
2005	1
2006	0
2007	1
2008	0
2009	1
2010	3
2011	2
2012	2
2013	2
2014	3
2015	1
2016	3
2017	10
2018	6
2019	11
2020	15
2021	18
2022	4
2023	3
2024	2
2025	4
Total	94

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Siddhartha Chaudhuri publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Siddhartha Chaudhuri sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 87 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table

Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications	Scientists	This scientist
32–41	7
42–51	22
52–61	82
62–71	134
72–81	249
82–91	324	87
92–101	421
102–111	420
112–121	497
122–131	544
132–141	555
142–151	609
152–161	559
162–171	534
172–181	556
182–191	583
192–201	519
202–211	508
212–221	490
222–231	437
232–241	423
242–251	408
252–261	377
262–271	301
272–281	335
282–291	320
292–301	293
302–311	250
312–321	238
322–331	206
332–341	209
342–351	208
352–361	162
362–371	176
372–381	127
382–391	158
392–401	128
402–411	104
412–421	94
422–431	99
432–441	83
442–451	108
452–461	73
462–471	77
472–481	69
482–491	84
492–501	62
502–511	54
512–521	57
522–531	51
532–541	51
542–551	32
552–561	38
562–571	28
572–581	43
582–591	33
592–601	41
602–611	32
612–621	28
622–631	25
632–641	27
642–651	17
652–661	20
662–671	17
672–681	15
682–691	14
692–701	21
702–711	13
712–721	12
722–731	19
732–741	14
742–751	12
752–761	10
762–771	10
772–781	11
782–791	10
792–801	11
802–811	8
812–821	8
822–831	7
832–841	11
842–851	10
852–861	5
862–871	9
872–881	4
882–891	6
892–901	3
902–911	6
912–921	3
922–931	2
932–941	2
942–951	2
952–961	3
962–971	3
972–981	3
982–990	5
991+	100

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Siddhartha Chaudhuri D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Siddhartha Chaudhuri sits on this spectrum.

No. of scientists

200 400 600 800

30–31 D-Index 131+

This scientist: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table

Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index	Scientists	This scientist
30–31	879	30
32–33	983
34–35	918
36–37	990
38–39	968
40–41	907
42–43	821
44–45	763
46–47	689
48–49	543
50–51	543
52–53	518
54–55	500
56–57	458
58–59	400
60–61	337
62–63	308
64–65	292
66–67	249
68–69	213
70–71	192
72–73	189
74–75	165
76–77	139
78–79	119
80–81	121
82–83	113
84–85	88
86–87	87
88–89	75
90–91	69
92–93	57
94–95	46
96–97	38
98–99	34
100–101	36
102–103	27
104–105	37
106–107	18
108–109	31
110–111	19
112–113	16
114–115	12
116–117	20
118–119	15
120–121	5
122–123	20
124–125	8
126–127	5
128–129	7
130	3
131+	98

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Best Publications

A probabilistic model for component-based shape synthesis

Evangelos Kalogerakis;Siddhartha Chaudhuri;Daphne Koller;Vladlen Koltun

431
Citations
3D Shape Segmentation with Projective Convolutional Networks

Evangelos Kalogerakis;Melinos Averkiou;Subhransu Maji;Siddhartha Chaudhuri

374
Citations
Generalizing Across Domains via Cross-Gradient Training

Shiv Shankar;Vihari Piratla;Soumen Chakrabarti;Siddhartha Chaudhuri

351
Citations
GRASS: generative recursive autoencoders for shape structures

Jun Li;Kai Xu;Siddhartha Chaudhuri;Ersin Yumer

320
Citations
Probabilistic reasoning for assembly-based 3D modeling

Siddhartha Chaudhuri;Evangelos Kalogerakis;Leonidas Guibas;Vladlen Koltun

284
Citations
Learning part-based templates from large collections of 3D shapes

Vladimir G. Kim;Wilmot Li;Niloy J. Mitra;Siddhartha Chaudhuri

246
Citations
Generalizing Across Domains via Cross-Gradient Training

Shiv Shankar;Vihari Piratla;Soumen Chakrabarti;Siddhartha Chaudhuri

227
Citations
GRAINS: Generative Recursive Autoencoders for INdoor Scenes

Manyi Li;Akshay Gadi Patil;Kai Xu;Siddhartha Chaudhuri

217
Citations
Data-driven suggestions for creativity support in 3D modeling

Siddhartha Chaudhuri;Vladlen Koltun

186
Citations
Probabilistic reasoning for assembly-based 3D modeling

Unknown

165
Citations
Semantic shape editing using deformation handles

Mehmet Ersin Yumer;Siddhartha Chaudhuri;Jessica K. Hodgins;Levent Burak Kara

162
Citations
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks

Haibin Huang;Evangelos Kalogerakis;Siddhartha Chaudhuri;Duygu Ceylan

152
Citations
Attribit: content creation with semantic attributes

Siddhartha Chaudhuri;Evangelos Kalogerakis;Stephen Giguere;Thomas Funkhouser

151
Citations
Shape2Pose: human-centric shape analysis

Vladimir G. Kim;Siddhartha Chaudhuri;Leonidas Guibas;Thomas Funkhouser

133
Citations
Neural Cages for Detail-Preserving 3D Deformations

Wang Yifan;Noam Aigerman;Vladimir G. Kim;Siddhartha Chaudhuri

121
Citations
Data-driven suggestions for creativity support in 3D modeling

Unknown

108
Citations
ComplementMe: weakly-supervised component suggestions for 3D modeling

Minhyuk Sung;Hao Su;Vladimir G. Kim;Siddhartha Chaudhuri

100
Citations
GRASS: Generative Recursive Autoencoders for Shape Structures

Jun Li;Kai Xu;Siddhartha Chaudhuri;Ersin Yumer

94
Citations
Creating consistent scene graphs using a probabilistic grammar

Tianqiang Liu;Siddhartha Chaudhuri;Vladimir G. Kim;Qixing Huang

86
Citations
Learning Generative Models of 3D Structures

Siddhartha Chaudhuri;Siddhartha Chaudhuri;Daniel Ritchie;Jiajun Wu;Kai Xu

67
Citations