| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 34 | 5862 | 5629 | 1982 | 1849 | 179 | 4335 |
The chart shows the history of publications by Stefan M. Goetz between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Stefan M. Goetz published across 40 years, from 1986 to 2025, averaging 7.7 papers a year. Output peaked at 52 publications in 2023. 90 of the 307 publications appeared in the last two years.
307 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1986 | 1 |
| 1987 | 1 |
| 1988 | 0 |
| 1989 | 2 |
| 1990 | 0 |
| 1991 | 0 |
| 1992 | 0 |
| 1993 | 0 |
| 1994 | 0 |
| 1995 | 0 |
| 1996 | 0 |
| 1997 | 1 |
| 1998 | 1 |
| 1999 | 0 |
| 2000 | 0 |
| 2001 | 0 |
| 2002 | 1 |
| 2003 | 0 |
| 2004 | 0 |
| 2005 | 1 |
| 2006 | 1 |
| 2007 | 2 |
| 2008 | 0 |
| 2009 | 3 |
| 2010 | 2 |
| 2011 | 2 |
| 2012 | 4 |
| 2013 | 6 |
| 2014 | 7 |
| 2015 | 8 |
| 2016 | 3 |
| 2017 | 10 |
| 2018 | 6 |
| 2019 | 17 |
| 2020 | 20 |
| 2021 | 32 |
| 2022 | 34 |
| 2023 | 52 |
| 2024 | 47 |
| 2025 | 43 |
| Total | 307 |
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 Stefan M. Goetz sits on this spectrum.
This scientist: 179 publications — 23rd percentile
23% 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 | 179 |
| 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 | |
| 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 Stefan M. Goetz sits on this spectrum.
This scientist: 34 D-Index — 18th percentile
18% 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 | 34 |
| 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 |
Stefan M. Goetz is affiliated with Duke University in the United States and has a multidisciplinary research profile spanning engineering and neuroscience. Their work focuses particularly on electrical and electronic engineering alongside neurology and cognitive neuroscience.
Goetz's recent publications demonstrate an interest in energy systems and neural interface technologies. Notable papers include:
Their research topics often involve electrical and electronic engineering concepts such as:
In neuroscience, research areas include neurology and cognitive neuroscience, aligning with some of their work on neural implants and brain stimulation techniques.
Goetz frequently collaborates with several researchers, including:
Academic contributions have been published extensively in journals such as:
The principal fields of study for Stefan M. Goetz center around:
Within these fields, subfields include:
Unknown
Sebastian Rivera;Samir Kouro;Sergio Vazquez;Stefan M. Goetz
Unknown
Stefan M. Goetz;Angel V. Peterchev;Thomas Weyh
Angel V. Peterchev;Stefan M. Goetz;Stefan M. Goetz;Gregory G. Westin;Bruce Luber
Kevin D'Ostilio;Kevin D'Ostilio;Stefan M. Goetz;Stefan M. Goetz;Ricci Hannah;Matteo Ciocca;Matteo Ciocca
Jingyang Fang;Frede Blaabjerg;Steven Liu;Stefan Goetz
Stefan M. Goetz;Zhongxi Li;Xinyu Liang;Chengduo Zhang
Jingyang Fang;Han Deng;Stefan M. Goetz
Luis J Gomez;Stefan M Goetz;Angel V Peterchev
Stefan M. Goetz;Bruce Luber;Sarah H. Lisanby;David L.K. Murphy
Stefan M Goetz;Zhi-De Deng
S.M. Goetz;C.M. Erlen;H. Grothe;B. Wolf
S. M. Goetz;M. Pfaeffl;J. Huber;M. Singer
Zhongxi Li;F Ricardo Lizana;Sha Sha;Zhujun Yu
Unknown
Jingyang Fang;Zhongxi Li;Stefan M. Goetz
Stefan M. Goetz;Stefan M. Goetz;Cong Nam Truong;Manuel G. Gerhofer;Angel V. Peterchev
Stefan M. Goetz;Chuang Wang;Chuang Wang;Zhongxi Li;David L.K. Murphy
Jingyang Fang;Han Deng;Nima Tashakor;Frede Blaabjerg
Zhongxi Li;F Ricardo Lizana;Zhujun Yu;Sha Sha
Zhongxi Li;Ricardo Lizana;Angel V. Peterchev;Stefan M. Goetz
Lari M. Koponen;Stefan M. Goetz;Debara L. Tucci;Angel V. Peterchev
Stefan M. Goetz;Zhongxi Li;Angel V. Peterchev;Xinyu Liang
If you think any of the details on this page are incorrect, let us know.
For professionals aiming to advance in Electronics and Electrical Engineering, flexible learning options are crucial. Many choose accelerated programs designed specifically for working adults. These programs offer a balance of rigorous coursework and convenient scheduling, making it easier to upskill without compromising work commitments. Exploring online degrees for working adults can provide tailored pathways to fit busy lifestyles.
Additionally, for those interested in education roles within technical fields, pursuing one of the best online master's for teaching can expand career opportunities. These programs often focus on instructional design and curriculum development, crucial for training the next generation of engineers.
Competency-based degrees offer another flexible option, focusing on mastery of specific skills rather than traditional credit hours. This approach is especially ideal for self-motivated learners looking to demonstrate practical expertise in Electronics and Electrical Engineering. More insights on these programs are available at competency based masters.
Military spouses and dependents frequently face unique challenges in pursuing higher education. Many online colleges provide dedicated support and affordable degree paths to this community. Those interested can explore the most supportive options through online colleges for military spouses.
Lund University
National Research Council (CNR)
University of Lübeck
University of Rennes
University of Antwerp
Heinrich Heine University Düsseldorf
Natural History Museum
University of Sydney
University of Geneva
University of Sheffield
Binghamton University
Tokyo Institute of Technology
Freie Universität Berlin
George Washington University
University of California, Davis
University of Michigan–Ann Arbor
