Greg Bishop-Hurley publications per year

The chart shows the history of publications by Greg Bishop-Hurley between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Greg Bishop-Hurley published across 32 years, from 1994 to 2025, averaging 4.2 papers a year. Output peaked at 14 publications in 2016. 11 of the 135 publications appeared in the last two years.

No. of publications

5 10

1994 2025

135 publications in total across all disciplines

View publications per year as a table

Greg Bishop-Hurley: publications per year, 1994 to 2025
Year	Publications
1994	5
1995	1
1996	2
1997	2
1998	1
1999	1
2000	0
2001	3
2002	1
2003	3
2004	1
2005	1
2006	9
2007	4
2008	2
2009	6
2010	5
2011	6
2012	2
2013	5
2014	5
2015	9
2016	14
2017	4
2018	2
2019	1
2020	4
2021	8
2022	10
2023	7
2024	5
2025	6
Total	135

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Greg Bishop-Hurley publication distribution in Animal Science and Veterinary in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Animal Science and Veterinary in 2026. The highlighted bar marks where Greg Bishop-Hurley sits on this spectrum.

No. of scientists

25 50 75 100

29–33 publications 442+

This scientist: 87 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 442 publications or more.

View publications distribution as a table

Number of Animal Science and Veterinary scientists by publication count, Research.com 2026 ranking edition. Based on 3,155 ranked scientists.
Publications	Scientists	This scientist
29–33	1
34–38	6
39–43	17
44–48	23
49–53	28
54–58	44
59–63	66
64–68	75
69–73	71
74–78	85
79–83	108
84–88	105	87
89–93	84
94–98	103
99–103	97
104–108	95
109–113	89
114–118	88
119–123	109
124–128	93
129–133	89
134–138	95
139–143	92
144–148	80
149–153	75
154–158	74
159–163	67
164–168	53
169–173	62
174–178	63
179–183	50
184–188	55
189–193	50
194–198	27
199–203	44
204–208	31
209–213	28
214–218	38
219–223	33
224–228	36
229–233	29
234–238	35
239–243	23
244–248	24
249–253	29
254–258	28
259–263	21
264–268	25
269–273	11
274–278	18
279–283	13
284–288	18
289–293	10
294–298	12
299–303	11
304–308	15
309–313	14
314–318	14
319–323	8
324–328	8
329–333	13
334–338	14
339–343	13
344–348	10
349–353	11
354–358	5
359–363	8
364–368	8
369–373	6
374–378	7
379–383	8
384–388	3
389–393	4
394–398	5
399–403	8
404–408	5
409–413	4
414–418	3
419–423	8
424–428	5
429–433	3
434–438	5
439–441	5
442+	99

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Greg Bishop-Hurley D-index placement in Animal Science and Veterinary in 2026

The chart shows the D-index (discipline H-index) distribution of Animal Science and Veterinary scientists ranked by Research.com in 2026. The highlighted bar marks where Greg Bishop-Hurley sits on this spectrum.

No. of scientists

50 100 150

20 D-Index 77+

This scientist: 28 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 77 D-Index or more.

View D-Index distribution as a table

Number of Animal Science and Veterinary scientists by D-index, Research.com 2026 ranking edition. Based on 3,155 ranked scientists.
D-Index	Scientists	This scientist
20	5
21	22
22	31
23	44
24	53
25	66
26	80
27	101
28	106	28
29	116
30	154
31	158
32	143
33	137
34	126
35	134
36	112
37	115
38	105
39	111
40	107
41	87
42	74
43	62
44	61
45	41
46	51
47	43
48	28
49	47
50	40
51	34
52	33
53	43
54	16
55	32
56	21
57	18
58	28
59	33
60	17
61	21
62	18
63	21
64	9
65	20
66	11
67	16
68	12
69	17
70	13
71	15
72	11
73	11
74	14
75	5
76	6
77+	100

Download as CSV

Best Publications

Dynamic cattle behavioural classification using supervised ensemble classifiers

Unknown

219
Citations
Behavioral classification of data from collars containing motion sensors in grazing cattle

L.A. González;G.J. Bishop-Hurley;R.N. Handcock;C. Crossman

211
Citations
Measuring Methane Production from Ruminants.

Julian Hill;Chris McSweeney;André-Denis G. Wright;Greg Bishop-Hurley

166
Citations
Cattle behaviour classification from collar, halter, and ear tag sensors

Ashfaqur Rahman;Daniel Smith;Bryce Little;Aaron Ingham

151
Citations
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems

Unknown

129
Citations
A pasture growth model for use in a whole-farm dairy production model

Unknown

124
Citations
Detecting heat events in dairy cows using accelerometers and unsupervised learning

Unknown

115
Citations
Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model

Ying Guo;Geoffrey Poulton;Peter Corke;Greg Bishop-Hurley

114
Citations
Cumulative Forage Production, Forage Quality and Livestock Performance from an Annual Ryegrass and Cereal Rye Mixture in a Pine Walnut Silvopasture

R.L. Kallenbach;M.S. Kerley;G.J. Bishop-Hurley

102
Citations
Tracking livestock using global positioning systems – are we still lost?

Unknown

101
Citations
Using high fix rate GPS data to determine the relationships between fix rate, prediction errors and patch selection

Unknown

87
Citations
Wireless sensor networks to study, monitor and manage cattle in grazing systems

L. A. González;G. Bishop-Hurley;D. Henry;E. Charmley

82
Citations
Methane emissions from grazing cattle using point-source dispersion.

S. M. McGinn;D. Turner;N. Tomkins;E. Charmley

65
Citations
In-situ classification of cattle behavior using accelerometry data

Reza Arablouei;Lachlan Currie;Brano Kusy;Aaron Ingham

64
Citations
A sensor-based solution to monitor grazing cattle drinking behaviour and water intake

Unknown

61
Citations
Use of sensor-determined behaviours to develop algorithms for pasture intake by individual grazing cattle

P. L. Greenwood;P. L. Greenwood;D. R. Paull;J. McNally;T. Kalinowski

57
Citations
Deep learning-based cattle behaviour classification using joint time-frequency data representation

Seyedehfaezeh Hosseininoorbin;Seyedehfaezeh Hosseininoorbin;Siamak Layeghy;Brano Kusy;Raja Jurdak

56
Citations
Using contact logging devices to explore animal affiliations: Quantifying cow–calf interactions

Unknown

55
Citations
Use of radio frequency identification (RFID) technology to record grazing beef cattle water point use

Unknown

41
Citations
Development and evaluation of a standardised means for estimating herbage mass of dairy pastures using the rising plate meter.

Unknown

40
Citations

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing a degree in Animal Science or Veterinary studies opens doors to a variety of related fields that complement this area of expertise. For those interested in behavior analysis, exploring bcba accredited programs can provide valuable credentials and skills for working with both animals and humans.

Mental health professionals often find intersecting interests with animal care through therapeutic approaches. Students may consider online school psychology programs to gain expertise in child and adolescent mental health, a pathway that can integrate with animal-assisted therapy techniques.

Additionally, those looking to expand clinical skills might explore apa accredited psyd programs online, which offer opportunities in psychology without GRE requirements, often allowing for flexible study schedules. This can be especially beneficial for professionals balancing work in veterinary or animal science fields.

For individuals focused on substance use and addiction counseling, incorporating knowledge from online substance abuse counseling degree programs can lead to impactful careers. Many veterinary professionals recognize the role of addiction and mental health in overall community well-being, making this an important complementary pathway.

D-Index	Scientists	This scientist
20	5
21	22
22	31
23	44
24	53
25	66
26	80
27	101
28	106	28
29	116
30	154
31	158
32	143
33	137
34	126
35	134
36	112
37	115
38	105
39	111
40	107
41	87
42	74
43	62
44	61
45	41
46	51
47	43
48	28
49	47
50	40
51	34
52	33
53	43
54	16
55	32
56	21
57	18
58	28
59	33
60	17
61	21
62	18
63	21
64	9
65	20
66	11
67	16
68	12
69	17
70	13
71	15
72	11
73	11
74	14
75	5
76	6
77+	100

D-Index	Scientists	This scientist
20	5
21	22
22	31
23	44
24	53
25	66
26	80
27	101
28	106	28
29	116
30	154
31	158
32	143
33	137
34	126
35	134
36	112
37	115
38	105
39	111
40	107
41	87
42	74
43	62
44	61
45	41
46	51
47	43
48	28
49	47
50	40
51	34
52	33
53	43
54	16
55	32
56	21
57	18
58	28
59	33
60	17
61	21
62	18
63	21
64	9
65	20
66	11
67	16
68	12
69	17
70	13
71	15
72	11
73	11
74	14
75	5
76	6
77+	100

Greg Bishop-Hurley

D-Index & Metrics

Greg Bishop-Hurley publications per year

Greg Bishop-Hurley publication distribution in Animal Science and Veterinary in 2026

Greg Bishop-Hurley D-index placement in Animal Science and Veterinary in 2026

Best Publications

Dynamic cattle behavioural classification using supervised ensemble classifiers

Behavioral classification of data from collars containing motion sensors in grazing cattle

Measuring Methane Production from Ruminants.

Cattle behaviour classification from collar, halter, and ear tag sensors

Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems

A pasture growth model for use in a whole-farm dairy production model

Detecting heat events in dairy cows using accelerometers and unsupervised learning

Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model

Cumulative Forage Production, Forage Quality and Livestock Performance from an Annual Ryegrass and Cereal Rye Mixture in a Pine Walnut Silvopasture

Tracking livestock using global positioning systems – are we still lost?

Using high fix rate GPS data to determine the relationships between fix rate, prediction errors and patch selection

Wireless sensor networks to study, monitor and manage cattle in grazing systems

Methane emissions from grazing cattle using point-source dispersion.

In-situ classification of cattle behavior using accelerometry data

A sensor-based solution to monitor grazing cattle drinking behaviour and water intake

Use of sensor-determined behaviours to develop algorithms for pasture intake by individual grazing cattle

Deep learning-based cattle behaviour classification using joint time-frequency data representation

Using contact logging devices to explore animal affiliations: Quantifying cow–calf interactions

Use of radio frequency identification (RFID) technology to record grazing beef cattle water point use

Development and evaluation of a standardised means for estimating herbage mass of dairy pastures using the rising plate meter.

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D-Index	Scientists	This scientist
20	5
21	22
22	31
23	44
24	53
25	66
26	80
27	101
28	106	28
29	116
30	154
31	158
32	143
33	137
34	126
35	134
36	112
37	115
38	105
39	111
40	107
41	87
42	74
43	62
44	61
45	41
46	51
47	43
48	28
49	47
50	40
51	34
52	33
53	43
54	16
55	32
56	21
57	18
58	28
59	33
60	17
61	21
62	18
63	21
64	9
65	20
66	11
67	16
68	12
69	17
70	13
71	15
72	11
73	11
74	14
75	5
76	6
77+	100