Earl T. Barr publications per year

The chart shows the history of publications by Earl T. Barr between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Earl T. Barr published across 26 years, from 2000 to 2025, averaging 4.8 papers a year. Output peaked at 10 publications in 2015. 14 of the 124 publications appeared in the last two years.

No. of publications

2 4 6 8 10

2000 2025

124 publications in total across all disciplines

View publications per year as a table

Earl T. Barr: publications per year, 2000 to 2025
Year	Publications
2000	2
2001	0
2002	2
2003	0
2004	1
2005	2
2006	0
2007	2
2008	1
2009	3
2010	3
2011	2
2012	6
2013	5
2014	8
2015	10
2016	8
2017	4
2018	9
2019	10
2020	9
2021	6
2022	7
2023	10
2024	6
2025	8
Total	124

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Earl T. Barr 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 Earl T. Barr sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 116 publications — 13th percentile

13% 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
92–101	421
102–111	420
112–121	497	116
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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Earl T. Barr 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 Earl T. Barr sits on this spectrum.

No. of scientists

200 400 600 800

30–31 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% 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
32–33	983	32
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

The Oracle Problem in Software Testing: A Survey

Earl T. Barr;Mark Harman;Phil McMinn;Muzammil Shahbaz

1167
Citations
On the naturalness of software

Abram Hindle;Earl T. Barr;Mark Gabel;Zhendong Su

1047
Citations
A Survey of Machine Learning for Big Code and Naturalness

Miltiadis Allamanis;Earl T. Barr;Premkumar Devanbu;Charles Sutton

921
Citations
On the naturalness of software

Abram Hindle;Earl T. Barr;Zhendong Su;Mark Gabel

698
Citations
Suggesting accurate method and class names

Miltiadis Allamanis;Earl T. Barr;Christian Bird;Charles Sutton

444
Citations
Learning natural coding conventions

Miltiadis Allamanis;Earl T. Barr;Christian Bird;Charles Sutton

427
Citations
On the naturalness of software

Unknown

411
Citations
Is the cure worse than the disease? overfitting in automated program repair

Edward K. Smith;Earl T. Barr;Claire Le Goues;Yuriy Brun

365
Citations
The promises and perils of mining git

Unknown

362
Citations
Runtime Support for Type-Safe Dynamic Java Classes

Scott Malabarba;Raju Pandey;Jeff Gragg;Earl Barr

298
Citations
The plastic surgery hypothesis

Earl T. Barr;Yuriy Brun;Premkumar Devanbu;Mark Harman

248
Citations
Deep learning type inference

Vincent J. Hellendoorn;Christian Bird;Earl T. Barr;Miltiadis Allamanis

198
Citations
Automated software transplantation

Earl T. Barr;Mark Harman;Yue Jia;Alexandru Marginean

162
Citations
Comparing static bug finders and statistical prediction

Foyzur Rahman;Sameer Khatri;Earl T. Barr;Premkumar Devanbu

158
Citations
BugCache for inspections: hit or miss?

Foyzur Rahman;Daryl Posnett;Abram Hindle;Earl Barr

152
Citations
Automatic detection of floating-point exceptions

Earl T. Barr;Thanh Vo;Vu Le;Zhendong Su

140
Citations
Uncertainty, risk, and information value in software requirements and architecture

Emmanuel Letier;David Stefan;Earl T. Barr

132
Citations
Has the bug really been fixed

Zhongxian Gu;Earl T. Barr;David J. Hamilton;Zhendong Su

124
Citations
To type or not to type: quantifying detectable bugs in JavaScript

Zheng Gao;Christian Bird;Earl T. Barr

105
Citations
Today Was a Good Day: The Daily Life of Software Developers

Andre N. Meyer;Earl T. Barr;Christian Bird;Thomas Zimmermann

105
Citations