World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 94 247 240 126 119 480 41671
Computer Science 104 309 299 170 164 584 45737

Kannan Ramchandran publications per year

The chart shows the history of publications by Kannan Ramchandran between 1991 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kannan Ramchandran published across 35 years, from 1991 to 2025, averaging 17.7 papers a year. Output peaked at 31 publications in 2010. 17 of the 621 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1991 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2010. 1991: 1 publication 1992: 10 publications 1993: 8 publications 1994: 8 publications 1995: 11 publications 1996: 12 publications 1997: 23 publications 1998: 25 publications 1999: 20 publications 2000: 26 publications 2001: 10 publications 2002: 24 publications 2003: 25 publications 2004: 28 publications 2005: 18 publications 2006: 17 publications 2007: 26 publications 2008: 25 publications 2009: 19 publications 2010: 31 publications 2011: 23 publications 2012: 27 publications 2013: 18 publications 2014: 12 publications 2015: 21 publications 2016: 16 publications 2017: 21 publications 2018: 20 publications 2019: 18 publications 2020: 25 publications 2021: 16 publications 2022: 10 publications 2023: 10 publications 2024: 11 publications 2025: 6 publications
1991 2025

621 publications in total across all disciplines

View publications per year as a table
Kannan Ramchandran: publications per year, 1991 to 2025
Year Publications
1991 1
1992 10
1993 8
1994 8
1995 11
1996 12
1997 23
1998 25
1999 20
2000 26
2001 10
2002 24
2003 25
2004 28
2005 18
2006 17
2007 26
2008 25
2009 19
2010 31
2011 23
2012 27
2013 18
2014 12
2015 21
2016 16
2017 21
2018 20
2019 18
2020 25
2021 16
2022 10
2023 10
2024 11
2025 6
Total 621
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Kannan Ramchandran 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 Kannan Ramchandran 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, 474–493 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: 480 publications — 82nd percentile

82% 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
474–493 117 480
494–513 103
514–533 99
534–553 92
554–573 75
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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Kannan Ramchandran 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 Kannan Ramchandran 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, 94 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: 94 D-Index — 96th percentile

96% 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 94
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
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Research.com Recognitions

  • 2017 - IEEE Koji Kobayashi Computers and Communications Award “For pioneering contributions to the theory and practice of distributed source and storage coding.”

Overview

Kannan Ramchandran is affiliated with the University of California, Berkeley in the United States. Their research contributions span primarily across the field of Computer Science, with a particular focus on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Molecular Biology, and Electrical and Electronic Engineering.

The scientist's work encompasses a number of specific topics, including:

  • Advanced Bandit Algorithms Research
  • Stochastic Gradient Optimization Techniques
  • Privacy-Preserving Technologies in Data
  • Machine Learning and Algorithms
  • Machine Learning and ELM
  • Smart Grid Energy Management
  • Sparse and Compressive Sensing Techniques

Recent notable publications by Ramchandran include:

  • "An Efficient Framework for Clustered Federated Learning," 2022, IEEE Transactions on Information Theory
  • "FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning," 2020, arXiv (Cornell University)
  • "Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models," 2021, 2021 IEEE International Conference on Big Data (Big Data)
  • "Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions," 2021, Nature Communications
  • "Neurotoxin: Durable Backdoors in Federated Learning," 2022, arXiv (Cornell University)

Their frequent co-authors include:

  • Avishek Ghosh
  • Nived Rajaraman
  • Yaoqing Yang
  • Michael W. Mahoney
  • Abishek Sankararaman

Ramchandran's research has been published extensively in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • 2021 IEEE International Conference on Big Data (Big Data)
  • Nature Communications
  • Management Science

In 2017, Kannan Ramchandran received the IEEE Koji Kobayashi Computers and Communications Award with the citation stating the recognition was "for pioneering contributions to the theory and practice of distributed source and storage coding."

Best Publications

  • Network Coding for Distributed Storage Systems

    A G Dimakis;P B Godfrey;Yunnan Wu;M J Wainwright

  • Network Coding for Distributed Storage Systems

    A.G. Dimakis;P.B. Godfrey;M.J. Wainwright;K. Ramchandran

  • Distributed source coding using syndromes (DISCUS): design and construction

    S.S. Pradhan;K. Ramchandran

  • Rate-distortion methods for image and video compression

    A. Ortega;K. Ramchandran

  • Low-complexity image denoising based on statistical modeling of wavelet coefficients

    M. Kivanc Mihcak;I. Kozintsev;K. Ramchandran;P. Moulin

  • Best wavelet packet bases in a rate-distortion sense

    K. Ramchandran;M. Vetterli

  • Speeding Up Distributed Machine Learning Using Codes

    Kangwook Lee;Maximilian Lam;Ramtin Pedarsani;Dimitris Papailiopoulos

  • A Survey on Network Codes for Distributed Storage

    A G Dimakis;K Ramchandran;Yunnan Wu;Changho Suh

  • Distributed compression in a dense microsensor network

    S.S. Pradhan;J. Kusuma;K. Ramchandran

  • Multiplexed coded illumination for Fourier Ptychography with an LED array microscope.

    Lei Tian;Xiao Li;Kannan Ramchandran;Laura Waller

  • Space-frequency quantization for wavelet image coding

    Zixiang Xiong;K. Ramchandran;M.T. Orchard

  • Bit allocation for dependent quantization with applications to multiresolution and MPEG video coders

    K. Ramchandran;A. Ortega;M. Vetterli

  • Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

    Dong Yin;Yudong Chen;Kannan Ramchandran;Peter L. Bartlett

  • Computationally efficient optimal power allocation algorithm for multicarrier communication systems

    B.S. Krongold;K. Ramchandran;D.L. Jones

  • Computationally efficient optimal power allocation algorithms for multicarrier communication systems

    B.S. Krongold;K. Ramchandran;D.L. Jones

  • Detecting primary receivers for cognitive radio applications

    B. Wild;K. Ramchandran

  • Multiresolution broadcast for digital HDTV using joint source/channel coding

    K. Ramchandran;A. Ortega;K.M. Uz;M. Vetterli

  • On compressing encrypted data

    M. Johnson;P. Ishwar;V. Prabhakaran;D. Schonberg

  • Multiple description source coding using forward error correction codes

    R. Puri;K. Ramchandran

  • Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising

    M. Kivanc Mihcak;I. Kozintsev;K. Ramchandran

  • Network Coding for Distributed Storage Systems

    Alexandros G. Dimakis;P. Brighten Godfrey;Martin J. Wainwright;Kannan Ramchandran

  • A Survey on Network Codes for Distributed Storage In distributed storage systems where reliability is maintained using erasure coding, network codes can be designed to meet specific requirements.

    Alexandros G. Dimakis;Kannan Ramchandran;Yunnan Wu;Changho Suh

Frequent Co-Authors

Nihar B. Shah
Nihar B. Shah Carnegie Mellon University
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Michael T. Orchard
Michael T. Orchard Rice University
Zixiang Xiong
Zixiang Xiong Texas A&M University
Prakash Ishwar
Prakash Ishwar Boston University
Douglas L. Jones
Douglas L. Jones University of Illinois at Urbana-Champaign
Upamanyu Madhow
Upamanyu Madhow University of California, Santa Barbara
P. Vijay Kumar
P. Vijay Kumar Indian Institute of Science
Salim El Rouayheb
Salim El Rouayheb Rutgers, The State University of New Jersey

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