R. Vinayakumar publications per year

The chart shows the history of publications by R. Vinayakumar between 2015 and 2022, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. R. Vinayakumar published across 8 years, from 2015 to 2022, averaging 17 papers a year. Output peaked at 38 publications in 2018. 14 of the 136 publications appeared in the last two years.

No. of publications

10 20 30

2015 2022

136 publications in total across all disciplines

View publications per year as a table

R. Vinayakumar: publications per year, 2015 to 2022
Year	Publications
2015	2
2016	1
2017	19
2018	38
2019	37
2020	25
2021	11
2022	3
Total	136

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R. Vinayakumar 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 R. Vinayakumar sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 125 publications — 17th percentile

17% 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
122–131	544	125
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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R. Vinayakumar 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 R. Vinayakumar sits on this spectrum.

No. of scientists

200 400 600 800

30–31 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% 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
34–35	918
36–37	990
38–39	968	38
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

Deep Learning Approach for Intelligent Intrusion Detection System

R. Vinayakumar;Mamoun Alazab;K. P. Soman;Prabaharan Poornachandran

1632
Citations
Stock price prediction using LSTM, RNN and CNN-sliding window model

Sreelekshmy Selvin;R Vinayakumar;E. A Gopalakrishnan;Vijay Krishna Menon

1016
Citations
Applying convolutional neural network for network intrusion detection

R Vinayakumar;K P Soman;Prabaharan Poornachandran

545
Citations
Robust Intelligent Malware Detection Using Deep Learning

R. Vinayakumar;Mamoun Alazab;K. P. Soman;Prabaharan Poornachandran

520
Citations
Diabetes detection using deep learning algorithms

G Swapna;R Vinayakumar;K P Soman

314
Citations
A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

R. Vinayakumar;Mamoun Alazab;Sriram Srinivasan;Quoc-Viet Pham

297
Citations
DeepAirNet: Applying Recurrent Networks for Air Quality Prediction

Unknown

279
Citations
Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals

Unknown

241
Citations
A hybrid deep learning image-based analysis for effective malware detection

Sitalakshmi Venkatraman;Mamoun Alazab;R. Vinayakumar

228
Citations
Applying deep learning approaches for network traffic prediction

R Vinayakumar;K. P. Soman;Prabaharan Poornachandran

195
Citations
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security

Vigneswaran K Rahul;R Vinayakumar;KP Soman;Prabaharan Poornachandran

172
Citations
Detecting Android malware using Long Short-term Memory (LSTM)

R. Vinayakumar;K.P. Soman;Prabaharan Poornachandran;S. Sachin Kumar

167
Citations
Network Flow based IoT Botnet Attack Detection using Deep Learning

Sriram S;Vinayakumar R;Mamoun Alazab;Soman Kp

155
Citations
Detecting malicious domain names using deep learning approaches at scale

R. Vinayakumar;K.P. Soman;Prabaharan Poornachandran

123
Citations
Evaluating shallow and deep networks for ransomware detection and classification

R. Vinayakumar;K P Soman;K. K. Senthil Velan;Shaunak Ganorkar

115
Citations
Evaluating deep learning approaches to characterize and classify malicious URL’s

R. Vinayakumar;K.P. Soman;Prabaharan Poornachandran

112
Citations
Deep Learning Models for the Prediction of Rainfall

Unknown

103
Citations
Long short-term memory based operation log anomaly detection

R. Vinayakumar;K. P. Soman;Prabaharan Poornachandran

101
Citations
Deep power: Deep learning architectures for power quality disturbances classification

Neethu Mohan;K. P. Soman;R. Vinayakumar

99
Citations
Deep android malware detection and classification

R. Vinayakumar;K. P. Soman;Prabaharan Poornachandran

98
Citations