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Priyan Malarvizhi Kumar

Priyan Malarvizhi Kumar

University of North Texas
United States

Award Badge
Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 34 874 871 144 143 91 4731
Engineering and Technology 36 8692 8378 2412 2237 88 5438

Priyan Malarvizhi Kumar publications per year

The chart shows the history of publications by Priyan Malarvizhi Kumar between 2013 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Priyan Malarvizhi Kumar published across 14 years, from 2013 to 2026, averaging 12.3 papers a year. Output peaked at 38 publications in 2025. 40 of the 172 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2013 to 2026. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2025. 2013: 2 publications 2014: 0 publications 2015: 1 publication 2016: 0 publications 2017: 2 publications 2018: 13 publications 2019: 7 publications 2020: 11 publications 2021: 37 publications 2022: 26 publications 2023: 16 publications 2024: 17 publications 2025: 38 publications 2026: 2 publications
2013 2026

172 publications in total across all disciplines

View publications per year as a table
Priyan Malarvizhi Kumar: publications per year, 2013 to 2026
Year Publications
2013 2
2014 0
2015 1
2016 0
2017 2
2018 13
2019 7
2020 11
2021 37
2022 26
2023 16
2024 17
2025 38
2026 2
Total 172
Download as CSV

Priyan Malarvizhi Kumar 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 Priyan Malarvizhi Kumar sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 88–97 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 88 publications — 5th percentile

5% 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
78–87 190
88–97 259 88
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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Priyan Malarvizhi Kumar 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 Priyan Malarvizhi Kumar sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 36 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% 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
34 200
35 262
36 311 36
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
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Priyan Malarvizhi Kumar is affiliated with the University of North Texas in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

Their research encompasses a range of topics, notably IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, Big Data and Business Intelligence, COVID-19 diagnosis using AI, Caching and Content Delivery, Advanced Text Analysis Techniques, and Privacy-Preserving Technologies in Data.

Recent papers authored or coauthored by Kumar include:

  • Artificial intelligence on economic evaluation of energy efficiency and renewable energy technologies (2021), published in Sustainable Energy Technologies and Assessments
  • The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution control (2020), published in Environmental Impact Assessment Review
  • Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence (2020), published in Environmental Impact Assessment Review
  • Sentiment Analysis on Twitter Data by Using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) (2021), published in Wireless Personal Communications
  • FDM: Fuzzy-Optimized Data Management Technique for Improving Big Data Analytics (2020), published in IEEE Transactions on Fuzzy Systems

The scientist has frequently collaborated with the following coauthors:

  • Gokulnath Chandra Babu
  • Gunasekaran Manogaran
  • Ching-Hsien Hsu
  • S. Jeeva
  • Usha Devi Gandhi

Kumar's work has appeared repeatedly in several publication venues, among them:

  • Soft Computing
  • Wireless Personal Communications
  • Multimedia Tools and Applications
  • Arabian Journal for Science and Engineering
  • Annals of Operations Research

In addition to journal articles, Kumar has contributed to book publications. One of the documented titles is Towards the Integration of IoT, Cloud and Big Data, published in 2023 by Springer International Publishing.

Best Publications

  • A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system

    Gunasekaran Manogaran;R. Varatharajan;Daphne Lopez;Priyan Malarvizhi Kumar

  • Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier

    Priyan Malarvizhi Kumar;S. Lokesh;R. Varatharajan;Gokulnath Chandra Babu

  • A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases

    Priyan Malarvizhi Kumar;Usha Devi Gandhi

  • Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm

    R. Varatharajan;Gunasekaran Manogaran;M. K. Priyan;Revathi Sundarasekar

  • Machine Learning Based Big Data Processing Framework for Cancer Diagnosis Using Hidden Markov Model and GM Clustering

    Gunasekaran Manogaran;V. Vijayakumar;R. Varatharajan;Priyan Malarvizhi Kumar

  • Artificial intelligence on economic evaluation of energy efficiency and renewable energy technologies

    Cheng Chen;Yuhan Hu;Marimuthu Karuppiah;Priyan Malarvizhi Kumar

  • The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution control

    Jianyu Zhao;Xi Xi;Qi Na;Shanshan Wang

  • Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence

    Kan Hua Yu;Yue Zhang;Danni Li;Carlos Enrique Montenegro-Marin

  • Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things

    Priyan Malarvizhi Kumar;Ushadevi Gandhi;R. Varatharajan;Gunasekaran Manogaran

  • Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images

    A. Ahilan;Gunasekaran Manogaran;C. Raja;Seifedine Kadry

  • Ant colony optimization algorithm with Internet of Vehicles for intelligent traffic control system

    Priyan Malarvizhi Kumar;Usha Devi G;Gunasekaran Manogaran;Revathi Sundarasekar

  • A novel Gini index decision tree data mining method with neural network classifiers for prediction of heart disease

    K. Mathan;Priyan Malarvizhi Kumar;Parthasarathy Panchatcharam;Gunasekaran Manogaran

  • Machine Learning Approach-Based Gamma Distribution for Brain Tumor Detection and Data Sample Imbalance Analysis

    Gunasekaran Manogaran;P. Mohamed Shakeel;Azza S. Hassanein;Priyan Malarvizhi Kumar

  • An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications

    Subramani Jegadeesan;Maria Azees;Priyan Malarvizhi Kumar;Gunasekaran Manogaran

  • Sentiment Analysis on Twitter Data by Using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM)

    Usha Devi Gandhi;Priyan Malarvizhi Kumar;Gokulnath Chandra Babu;Gayathri Karthick

  • An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map

    S. Lokesh;Priyan Malarvizhi Kumar;M. Ramya Devi;P. Parthasarathy

  • Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis

    R. Varatharajan;Gunasekaran Manogaran;M. K. Priyan;Valentina E. Balaş

  • An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images

    R. Varatharajan;K. Vasanth;M. Gunasekaran;M. Priyan

  • Enhanced DTLS with CoAP-based authentication scheme for the internet of things in healthcare application

    Priyan Malarvizhi Kumar;Usha Devi Gandhi

  • A New Representation of Intuitionistic Fuzzy Systems and Their Applications in Critical Decision Making

    Le Hoang Son;Roan Thi Ngan;Mumtaz Ali;Hamido Fujita

  • FDM: Fuzzy-Optimized Data Management Technique for Improving Big Data Analytics

    Gunasekaran Manogaran;P. Mohamed Shakeel;S. Baskar;Ching-Hsien Hsu

Frequent Co-Authors

Gunasekaran Manogaran
Gunasekaran Manogaran University of California, Davis
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Seifedine Kadry
Seifedine Kadry Lebanese American University
Gautam Srivastava
Gautam Srivastava Brandon University
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Mamoun Alazab
Mamoun Alazab Charles Darwin University
Naveen Chilamkurti
Naveen Chilamkurti La Trobe University
Hari Mohan Pandey
Hari Mohan Pandey Bournemouth University
Marimuthu Karuppiah
Marimuthu Karuppiah Presidency University
Ali Kashif Bashir
Ali Kashif Bashir Manchester Metropolitan University

External Links

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Best Scientists Citing Priyan Malarvizhi Kumar

Gunasekaran Manogaran

Gunasekaran Manogaran

University of California, Davis

Publications: 15

Ching-Hsien Hsu

Ching-Hsien Hsu

Asia University Taiwan

Publications: 11

Gautam Srivastava

Gautam Srivastava

Brandon University

Publications: 9

Guilherme Luz Tortorella

Guilherme Luz Tortorella

University of Melbourne

Publications: 9

Seifedine Kadry

Seifedine Kadry

Lebanese American University

Publications: 7

Naveen Chilamkurti

Naveen Chilamkurti

La Trobe University

Publications: 6

Mamoun Alazab

Mamoun Alazab

Charles Darwin University

Publications: 5

Amir Masoud Rahmani

Amir Masoud Rahmani

National Yunlin University of Science and Technology

Publications: 5

Mohsen Guizani

Mohsen Guizani

Mohamed bin Zayed University of Artificial Intelligence

Publications: 4

Joel J. P. C. Rodrigues

Joel J. P. C. Rodrigues

Federal University of Piauí

Publications: 4

Holger Giese

Holger Giese

Hasso Plattner Institute

Publications: 4

Mehdi Hosseinzadeh

Mehdi Hosseinzadeh

Washington State University

Publications: 4

Ali Kashif Bashir

Ali Kashif Bashir

Manchester Metropolitan University

Publications: 4

Jason J. Jung

Jason J. Jung

Chung-Ang University

Publications: 4

Ali Asghar Heidari

Ali Asghar Heidari

National University of Singapore

Publications: 4

Mazin Abed Mohammed

Mazin Abed Mohammed

University of Anbar

Publications: 3

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