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Computer Science
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2026
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Electronics and Electrical Engineering
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2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 114 83 82 40 39 561 66938
Computer Science 117 165 160 96 93 612 68920

Mani Srivastava publications per year

The chart shows the history of publications by Mani Srivastava between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mani Srivastava published across 37 years, from 1989 to 2025, averaging 19.1 papers a year. Output peaked at 68 publications in 2005. 61 of the 707 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 68. Peak 68 publications in 2005. 1989: 1 publication 1990: 0 publications 1991: 3 publications 1992: 2 publications 1993: 0 publications 1994: 5 publications 1995: 8 publications 1996: 13 publications 1997: 8 publications 1998: 8 publications 1999: 8 publications 2000: 4 publications 2001: 15 publications 2002: 26 publications 2003: 43 publications 2004: 37 publications 2005: 68 publications 2006: 33 publications 2007: 30 publications 2008: 26 publications 2009: 28 publications 2010: 28 publications 2011: 16 publications 2012: 25 publications 2013: 19 publications 2014: 19 publications 2015: 18 publications 2016: 12 publications 2017: 31 publications 2018: 21 publications 2019: 21 publications 2020: 18 publications 2021: 11 publications 2022: 21 publications 2023: 20 publications 2024: 29 publications 2025: 32 publications
1989 2025

707 publications in total across all disciplines

View publications per year as a table
Mani Srivastava: publications per year, 1989 to 2025
Year Publications
1989 1
1990 0
1991 3
1992 2
1993 0
1994 5
1995 8
1996 13
1997 8
1998 8
1999 8
2000 4
2001 15
2002 26
2003 43
2004 37
2005 68
2006 33
2007 30
2008 26
2009 28
2010 28
2011 16
2012 25
2013 19
2014 19
2015 18
2016 12
2017 31
2018 21
2019 21
2020 18
2021 11
2022 21
2023 20
2024 29
2025 32
Total 707
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Mani Srivastava publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Mani Srivastava sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 554–573 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 561 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75 561
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Mani Srivastava D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Mani Srivastava sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 111+ D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 114 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96 114
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Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2017 - ACM Fellow For contributions to sensor networks, mobile personal sensing, and cyber-physical systems

Overview

Mani Srivastava is affiliated with the University of California, Los Angeles in the United States. Their research primarily spans the field of computer science, with a focus on several specialized subfields including artificial intelligence, signal processing, computer vision and pattern recognition, electrical and electronic engineering, and computer networks and communications.

Their work covers various topics, notable among them are anomaly detection techniques and applications, time series analysis and forecasting, adversarial robustness in machine learning, explainable artificial intelligence (XAI), indoor and outdoor localization technologies, music and audio processing, and neural networks and applications.

Some of the recent papers authored or co-authored by Mani Srivastava include:

  • Machine Learning for Microcontroller-Class Hardware: A Review (2022), published in IEEE Sensors Journal
  • Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI (2020), published in Patterns
  • Wearable sensors for monitoring marine environments and their inhabitants (2023), published in Nature Biotechnology
  • AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading (2022), published in Proceedings of the 30th ACM International Conference on Multimedia
  • Incorporating physics into data-driven computer vision (2023), published in Nature Machine Intelligence

Mani Srivastava has collaborated frequently with several colleagues, including Lance Kaplan, Federico Cerutti, Sandeep Singh Sandha, Alun Preece, and Luis Antonio Ribot García.

Their publications often appear in venues such as arXiv (Cornell University), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Sensors Journal, ACM Transactions on Privacy and Security, and Patterns.

In recognition of their contributions, Mani Srivastava was named an ACM Fellow in 2017, cited specifically for their work in sensor networks, mobile personal sensing, and cyber-physical systems.

Best Publications

  • Timing-sync protocol for sensor networks

    Saurabh Ganeriwal;Ram Kumar;Mani B. Srivastava

  • Guest Editors' Introduction: Overview of Sensor Networks

    D. Culler;D. Estrin;M. Srivastava

  • Energy-aware wireless microsensor networks

    V. Raghunathan;C. Schurgers;Sung Park;M.B. Srivastava

  • Coverage problems in wireless ad-hoc sensor networks

    S. Meguerdichian;F. Koushanfar;M. Potkonjak;M.B. Srivastava

  • Overview of sensor networks

    David Cruller;Deborah Estrin;Mani Srivastava

  • Power management in energy harvesting sensor networks

    Aman Kansal;Jason Hsu;Sadaf Zahedi;Mani B. Srivastava

  • Design considerations for solar energy harvesting wireless embedded systems

    Vijay Raghunathan;Aman Kansal;Jason Hsu;Jonathan Friedman

  • Instrumenting the world with wireless sensor networks

    D. Estrin;L. Girod;G. Pottie;M. Srivastava

  • Reputation-based framework for high integrity sensor networks

    Saurabh Ganeriwal;Laura K. Balzano;Mani B. Srivastava

  • Energy efficient routing in wireless sensor networks

    C. Schurgers;M.B. Srivastava

  • The bits and flops of the n-hop multilateration primitive for node localization problems

    Andreas Savvides;Heemin Park;Mani B. Srivastava

  • Using mobile phones to determine transportation modes

    Sasank Reddy;Min Mun;Jeff Burke;Deborah Estrin

  • Optimizing sensor networks in the energy-latency-density design space

    C. Schurgers;V. Tsiatsis;S. Ganeriwal;M. Srivastava

  • Wireless Sensor Networks for Healthcare

    JeongGil Ko;Chenyang Lu;Mani B Srivastava;John A Stankovic

  • Generating Natural Language Adversarial Examples

    Moustafa Alzantot;Yash Sharma;Ahmed Elgohary;Bo-Jhang Ho

  • A dynamic operating system for sensor nodes

    Chih-Chieh Han;Ram Kumar;Roy Shea;Eddie Kohler

  • Power optimization of variable-voltage core-based systems

    I. Hong;D. Kirovski;Gang Qu;M. Potkonjak

  • Reputation-based framework for high integrity sensor networks

    Saurabh Ganeriwal;Mani B. Srivastava

  • Cyclops: in situ image sensing and interpretation in wireless sensor networks

    Mohammad Rahimi;Rick Baer;Obimdinachi I. Iroezi;Juan C. Garcia

  • Predictive system shutdown and other architectural techniques for energy efficient programmable computation

    M.B. Srivastava;A.P. Chandrakasan;R.W. Brodersen

  • Editorial: wireless sensor networks

    Erdal Cayirci;Ramesh Govindan;Taieb Znati;Mani Srivastava

Frequent Co-Authors

Deborah Estrin
Deborah Estrin Cornell University
Aman Kansal
Aman Kansal Microsoft (United States)
Jeff Burke
Jeff Burke University of California, Los Angeles
Vijay Raghunathan
Vijay Raghunathan Purdue University West Lafayette
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Gregory J. Pottie
Gregory J. Pottie University of California, Los Angeles
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Rajesh Gupta
Rajesh Gupta University of California, San Diego
Curt Schurgers
Curt Schurgers University of California, San Diego
Lance Kaplan
Lance Kaplan United States Army Research Laboratory

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