| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 54 | 2237 | 2147 | 878 | 823 | 192 | 16587 |
The chart shows the history of publications by Matthew T. Mason between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Matthew T. Mason published across 45 years, from 1981 to 2025, averaging 4.7 papers a year. Output peaked at 20 publications in 2018. 1 of the 211 publications appeared in the last two years.
211 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1981 | 2 |
| 1982 | 1 |
| 1983 | 1 |
| 1984 | 1 |
| 1985 | 2 |
| 1986 | 3 |
| 1987 | 1 |
| 1988 | 3 |
| 1989 | 5 |
| 1990 | 1 |
| 1991 | 5 |
| 1992 | 2 |
| 1993 | 6 |
| 1994 | 0 |
| 1995 | 4 |
| 1996 | 4 |
| 1997 | 3 |
| 1998 | 7 |
| 1999 | 8 |
| 2000 | 5 |
| 2001 | 3 |
| 2002 | 6 |
| 2003 | 2 |
| 2004 | 2 |
| 2005 | 2 |
| 2006 | 2 |
| 2007 | 1 |
| 2008 | 3 |
| 2009 | 6 |
| 2010 | 5 |
| 2011 | 6 |
| 2012 | 9 |
| 2013 | 3 |
| 2014 | 5 |
| 2015 | 4 |
| 2016 | 17 |
| 2017 | 13 |
| 2018 | 20 |
| 2019 | 11 |
| 2020 | 16 |
| 2021 | 5 |
| 2022 | 2 |
| 2023 | 3 |
| 2024 | 0 |
| 2025 | 1 |
| Total | 211 |
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 Matthew T. Mason sits on this spectrum.
This scientist: 192 publications — 27th percentile
27% 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 | 192 |
| 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 Matthew T. Mason sits on this spectrum.
This scientist: 54 D-Index — 68th percentile
68% 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 | |
| 49 | 130 | |
| 50 | 141 | |
| 51 | 156 | |
| 52 | 108 | |
| 53 | 130 | |
| 54 | 112 | 54 |
| 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 |
Matthew T. Mason is affiliated with Carnegie Mellon University in the United States. Their research primarily focuses on robotics, with a significant concentration on manipulation and control.
The main fields of study in their research include Engineering and Computer Science. Within these domains, their work is particularly associated with subfields such as Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, and Mechanical Engineering.
The scientist's research topics cover a broad range of areas related to robotic manipulation and learning. Key topics include Robot Manipulation and Learning, Robotic Path Planning Algorithms, Robotic Mechanisms and Dynamics, Reinforcement Learning in Robotics, Teleoperation and Haptic Systems, Soft Robotics and Applications, and Dynamics and Control of Mechanical Systems.
Frequent collaborators in their work consist of Xianyi Cheng, Yifan Hou, Eric Huang, Zhenzhong Jia, and Sarvesh Patil.
Publication venues where Matthew T. Mason regularly contributes include arXiv (Cornell University), the 2022 International Conference on Robotics and Automation (ICRA), IEEE Robotics and Automation Letters, The International Journal of Robotics Research, and the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Notable recent papers authored by or co-authored with them include:
Matthew T. Mason has been recognized with several awards, including the IEEE Robotics & Automation Award in 2018 for contributions to mechanics of manipulation and robotics leadership. They were named an IEEE Fellow in 2000 for work in robotic manipulation and graduate education and have been a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) since 1992, acknowledging advancements in compliant force control, planning under uncertainty, mechanics of pushing, and sensorless manipulation strategies.
Matthew T. Mason
Matthew T. Mason;J. Kenneth Salisbury
Tomás Lozano-pérez;Matthew T. Mason;Russell H. Taylor
Michale Brady;John M. Hollerbach;Timothy L. Johnson;Matthew T. Mason
M T Mason
M.A. Erdmann;M.T. Mason
Matthew T. Mason
Kevin M. Lynch;Matthew T. Mason
Yu Wang;Matthew T. Mason
Srinivas Akella;Matthew T. Mason
Nikhil Chavan Dafle;Alberto Rodriguez;Robert Paolini;Bowei Tang
Kevin M. Lynch;Matthew T. Mason
Alberto Rodriguez;Matthew T Mason;Steve Ferry
Matthew T Mason
Hamidreza Chitsaz;Steven M. Lavalle;Devin J. Balkcom;Matthew T. Mason
Devin J. Balkcom;Matthew T. Mason
Devin J. Balkcom;Matthew T. Mason
Matthew T. Mason
M.T. Mason;Y. Wang
M.T. Mason;K.M. Lynch
Srinivas Akella;Wesley H. Huang;Kevin M. Lynch;Matthew T. Mason
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For those interested in expanding their expertise beyond traditional Electronics and Electrical Engineering, there are several online degree options to explore. Programs like an online masters in instructional design offer a pathway to careers in education technology and curriculum development, blending technical know-how with teaching skills.
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Exploring these diverse online options can open new career pathways and enhance skills necessary in the evolving landscape of Electronics and Electrical Engineering.
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