| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 48 | 3057 | 2930 | 45 | 43 | 612 | 9840 |
| Computer Science | 49 | 5856 | 5689 | 38 | 38 | 662 | 10410 |
The chart shows the history of publications by Mikael Skoglund between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mikael Skoglund published across 32 years, from 1994 to 2025, averaging 25.7 papers a year. Output peaked at 61 publications in 2024. 121 of the 823 publications appeared in the last two years.
823 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1994 | 1 |
| 1995 | 8 |
| 1996 | 2 |
| 1997 | 1 |
| 1998 | 4 |
| 1999 | 5 |
| 2000 | 9 |
| 2001 | 7 |
| 2002 | 9 |
| 2003 | 9 |
| 2004 | 8 |
| 2005 | 7 |
| 2006 | 13 |
| 2007 | 17 |
| 2008 | 16 |
| 2009 | 33 |
| 2010 | 46 |
| 2011 | 57 |
| 2012 | 58 |
| 2013 | 53 |
| 2014 | 38 |
| 2015 | 39 |
| 2016 | 31 |
| 2017 | 22 |
| 2018 | 27 |
| 2019 | 32 |
| 2020 | 37 |
| 2021 | 52 |
| 2022 | 29 |
| 2023 | 32 |
| 2024 | 61 |
| 2025 | 60 |
| Total | 823 |
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 Mikael Skoglund sits on this spectrum.
This scientist: 612 publications — 91st percentile
91% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
| 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 | |
| 574–593 | 58 | |
| 594–613 | 69 | 612 |
| 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 |
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 Mikael Skoglund sits on this spectrum.
This scientist: 48 D-Index — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
| 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 | 48 |
| 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 |
Mikael Skoglund is affiliated with the Royal Institute of Technology in Sweden. Their research spans the fields of Computer Science and Engineering, with a particular focus on Artificial Intelligence, Electrical and Electronic Engineering, and Computer Networks and Communications. Their work also touches on Molecular Biology and Control and Systems Engineering on a smaller scale.
The scientist has contributed to several main topics, including Wireless Communication Security Techniques, Privacy-Preserving Technologies in Data, Cryptography and Data Security, Cooperative Communication and Network Coding, Advanced MIMO Systems Optimization, Distributed Sensor Networks and Detection Algorithms, and Stochastic Gradient Optimization Techniques.
Frequent co-authors include Tobias J. Oechtering, Ming Xiao, Amirreza Zamani, H. Vincent Poor, and Photios A. Stavrou.
Mikael Skoglund has published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Communications, IEEE Transactions on Information Theory, IEEE Transactions on Automatic Control, and IEEE Transactions on Information Forensics and Security.
Recent papers authored or co-authored by Mikael Skoglund include:
Mikael Skoglund received the IEEE Fellow award in 2019 for contributions to source-channel coding and wireless communications.
G. Jongren;M. Skoglund;B. Ottersten
Ming Xiao;Mikael Skoglund
M Andersson;V Rathi;R Thobaben;Jörg Kliewer
Ming Xiao;J. Kliewer;M. Skoglund
T.T. Kim;M. Skoglund
Hadi Ghauch;Taejoon Kim;Mats Bengtsson;Mikael Skoglund
Ming Xiao;Mikael Skoglund
M. Skoglund;G. Jongren
M. Skoglund;N. Phamdo;F. Alajaji
E. Larsson;M. Skoglund
Qiwen Wang;Mikael Skoglund
T.T. Kim;M. Skoglund
Hao Chen;Shaocheng Huang;Deyou Zhang;Ming Xiao
G. Jongren;M. Skoglund
Shaocheng Huang;Yu Ye;Ming Xiao;H. Vincent Poor
George Jöngren;Mikael Skoglund
Qiwen Wang;Hua Sun;Mikael Skoglund
G. Jongren;M. Skoglund
R. Blasco-Serrano;R. Thobaben;M. Andersson;V. Rathi
Peter Larsson;Lars K. Rasmussen;Mikael Skoglund
N. Wernersson;J. Karlsson;M. Skoglund
Qiwen Wang;Mikael Skoglund
If you think any of the details on this page are incorrect, let us know.
For students pursuing Electronics and Electrical Engineering in the USA, exploring related online degrees can open up diverse career opportunities. Programs like a bachelor project management complement technical skills with essential leadership and organizational abilities, crucial for managing engineering projects effectively.
Working professionals often benefit from accelerated bachelors degree programs for adults, which offer flexible scheduling and faster completion times. This approach helps balance career advancement while continuing education without lengthy interruptions.
Another pathway involves combining technical expertise with education through an instructional design degree online. This degree prepares graduates to design and implement effective training programs, perfect for those interested in helping others learn complex engineering concepts.
Additionally, competency-based education, such as a what is a competency based masters degree, allows students to progress by demonstrating skills at their own pace. This modern format is ideal for learners who want a personalized, skill-focused approach aligned with industry demands.
Chinese Academy of Sciences
University of Minnesota
Leibniz Institute for Solid State and Materials Research
University of New South Wales
Zhejiang University
Goddard Space Flight Center
San Jose State University
Rutgers, The State University of New Jersey
University of Alabama in Huntsville
FX Palo Alto Laboratory
University of Mississippi
University of Georgia
Leipzig University
University of Applied Sciences and Arts Northwestern Switzerland
Wildlife Conservation Society
University of Warwick
