| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Computer Science | 43 | 8045 | 7818 | 3455 | 3326 | 222 | 6929 |
The chart shows the history of publications by Stephanie Schuckers between 1998 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Stephanie Schuckers published across 29 years, from 1998 to 2026, averaging 10.5 papers a year. Output peaked at 40 publications in 2009. 18 of the 305 publications appeared in the last two years.
305 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1998 | 3 |
| 1999 | 2 |
| 2000 | 3 |
| 2001 | 2 |
| 2002 | 5 |
| 2003 | 3 |
| 2004 | 9 |
| 2005 | 6 |
| 2006 | 9 |
| 2007 | 6 |
| 2008 | 8 |
| 2009 | 40 |
| 2010 | 19 |
| 2011 | 9 |
| 2012 | 11 |
| 2013 | 8 |
| 2014 | 9 |
| 2015 | 13 |
| 2016 | 9 |
| 2017 | 11 |
| 2018 | 10 |
| 2019 | 9 |
| 2020 | 8 |
| 2021 | 11 |
| 2022 | 13 |
| 2023 | 23 |
| 2024 | 28 |
| 2025 | 14 |
| 2026 | 4 |
| Total | 305 |
The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Stephanie Schuckers sits on this spectrum.
This scientist: 222 publications — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
| Publications | Scientists | This scientist |
|---|---|---|
| 32–41 | 7 | |
| 42–51 | 22 | |
| 52–61 | 82 | |
| 62–71 | 134 | |
| 72–81 | 249 | |
| 82–91 | 324 | |
| 92–101 | 421 | |
| 102–111 | 420 | |
| 112–121 | 497 | |
| 122–131 | 544 | |
| 132–141 | 555 | |
| 142–151 | 609 | |
| 152–161 | 559 | |
| 162–171 | 534 | |
| 172–181 | 556 | |
| 182–191 | 583 | |
| 192–201 | 519 | |
| 202–211 | 508 | |
| 212–221 | 490 | |
| 222–231 | 437 | 222 |
| 232–241 | 423 | |
| 242–251 | 408 | |
| 252–261 | 377 | |
| 262–271 | 301 | |
| 272–281 | 335 | |
| 282–291 | 320 | |
| 292–301 | 293 | |
| 302–311 | 250 | |
| 312–321 | 238 | |
| 322–331 | 206 | |
| 332–341 | 209 | |
| 342–351 | 208 | |
| 352–361 | 162 | |
| 362–371 | 176 | |
| 372–381 | 127 | |
| 382–391 | 158 | |
| 392–401 | 128 | |
| 402–411 | 104 | |
| 412–421 | 94 | |
| 422–431 | 99 | |
| 432–441 | 83 | |
| 442–451 | 108 | |
| 452–461 | 73 | |
| 462–471 | 77 | |
| 472–481 | 69 | |
| 482–491 | 84 | |
| 492–501 | 62 | |
| 502–511 | 54 | |
| 512–521 | 57 | |
| 522–531 | 51 | |
| 532–541 | 51 | |
| 542–551 | 32 | |
| 552–561 | 38 | |
| 562–571 | 28 | |
| 572–581 | 43 | |
| 582–591 | 33 | |
| 592–601 | 41 | |
| 602–611 | 32 | |
| 612–621 | 28 | |
| 622–631 | 25 | |
| 632–641 | 27 | |
| 642–651 | 17 | |
| 652–661 | 20 | |
| 662–671 | 17 | |
| 672–681 | 15 | |
| 682–691 | 14 | |
| 692–701 | 21 | |
| 702–711 | 13 | |
| 712–721 | 12 | |
| 722–731 | 19 | |
| 732–741 | 14 | |
| 742–751 | 12 | |
| 752–761 | 10 | |
| 762–771 | 10 | |
| 772–781 | 11 | |
| 782–791 | 10 | |
| 792–801 | 11 | |
| 802–811 | 8 | |
| 812–821 | 8 | |
| 822–831 | 7 | |
| 832–841 | 11 | |
| 842–851 | 10 | |
| 852–861 | 5 | |
| 862–871 | 9 | |
| 872–881 | 4 | |
| 882–891 | 6 | |
| 892–901 | 3 | |
| 902–911 | 6 | |
| 912–921 | 3 | |
| 922–931 | 2 | |
| 932–941 | 2 | |
| 942–951 | 2 | |
| 952–961 | 3 | |
| 962–971 | 3 | |
| 972–981 | 3 | |
| 982–990 | 5 | |
| 991+ | 100 |
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Stephanie Schuckers sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
| D-Index | Scientists | This scientist |
|---|---|---|
| 30–31 | 879 | |
| 32–33 | 983 | |
| 34–35 | 918 | |
| 36–37 | 990 | |
| 38–39 | 968 | |
| 40–41 | 907 | |
| 42–43 | 821 | 43 |
| 44–45 | 763 | |
| 46–47 | 689 | |
| 48–49 | 543 | |
| 50–51 | 543 | |
| 52–53 | 518 | |
| 54–55 | 500 | |
| 56–57 | 458 | |
| 58–59 | 400 | |
| 60–61 | 337 | |
| 62–63 | 308 | |
| 64–65 | 292 | |
| 66–67 | 249 | |
| 68–69 | 213 | |
| 70–71 | 192 | |
| 72–73 | 189 | |
| 74–75 | 165 | |
| 76–77 | 139 | |
| 78–79 | 119 | |
| 80–81 | 121 | |
| 82–83 | 113 | |
| 84–85 | 88 | |
| 86–87 | 87 | |
| 88–89 | 75 | |
| 90–91 | 69 | |
| 92–93 | 57 | |
| 94–95 | 46 | |
| 96–97 | 38 | |
| 98–99 | 34 | |
| 100–101 | 36 | |
| 102–103 | 27 | |
| 104–105 | 37 | |
| 106–107 | 18 | |
| 108–109 | 31 | |
| 110–111 | 19 | |
| 112–113 | 16 | |
| 114–115 | 12 | |
| 116–117 | 20 | |
| 118–119 | 15 | |
| 120–121 | 5 | |
| 122–123 | 20 | |
| 124–125 | 8 | |
| 126–127 | 5 | |
| 128–129 | 7 | |
| 130 | 3 | |
| 131+ | 98 |
Stephanie Schuckers is affiliated with Clarkson University in the United States, with a research focus primarily in computer science and related subfields. Their work spans multiple domains including signal processing, computer vision and pattern recognition, information systems, artificial intelligence, and genetics.
The main topics of Stephanie Schuckers' research emphasize biometric identification and security, face recognition and analysis, user authentication and security systems, and forensic and genetic research. More specific areas within these topics include forensic fingerprint detection methods, face and expression recognition, and speech recognition and synthesis.
Recent publications illustrate the breadth of their research interests and include:
Stephanie Schuckers collaborates frequently with several researchers, indicating ongoing partnerships in their scholarly work. Frequent coauthors include:
Their research has been published in various venues, with a significant number of contributions to:
Stephanie Schuckers' body of work is characterized by a strong focus on biometric technologies and security systems, integrating methodologies from signal processing and artificial intelligence to address challenges in authentication and forensic sciences.
Stephanie A.C Schuckers
Reza Derakhshani;Stephanie A.C. Schuckers;Larry A. Hornak;Lawrence O'Gorman
Gian Luca Marcialis;Aaron Lewicke;Bozhao Tan;Pietro Coli
S.T.V. Parthasaradhi;R. Derakhshani;L.A. Hornak;S.A.C. Schuckers
Luca Ghiani;David Yambay;Valerio Mura;Simona Tocco
David Yambay;Luca Ghiani;Paolo Denti;Gian Luca Marcialis
Edward Sazonov;Stephanie Schuckers;Paulo Lopez-Meyer;Oleksandr Makeyev
Valerio Mura;Luca Ghiani;Gian Luca Marcialis;Fabio Roli
S.A.C. Schuckers;N.A. Schmid;A. Abhyankar;V. Dorairaj
E.S. Sazonov;O. Makeyev;S. Schuckers;P. Lopez-Meyer
David Yambay;Benedict Becker;Naman Kohli;Daksha Yadav
A. Abhyankar;S. Schuckers
Aditya Abhyankar;Stephanie Schuckers
David Yambay;Brian Walczak;Stephanie Schuckers;Adam Czajka
John Daugman;Stephanie Schuckers;Karthik Nandakumar;Ryan N. Rakvic
Luca Ghiani;David A. Yambay;Valerio Mura;Gian Luca Marcialis
David Yambay;James S. Doyle;Kevin W. Bowyer;Adam Czajka
Bozhao Tan;S. Schuckers
Davide Maltoni;Dario Maio;Anil K. Jain;Salil Prabhakar
P. A. Johnson;B. Tan;S. Schuckers
If you think any of the details on this page are incorrect, let us know.
Exploring online education can open many doors for those interested in computer science or related fields. Today, students have access to a variety of flexible degree options that cater to different career stages and objectives.
If you are seeking advanced expertise without breaking the bank, you may want to explore affordable online master's programs. These are tailored for working professionals and recent graduates looking to specialize further or advance in tech-driven roles.
For leadership positions, earning a doctorate in leadership online could be the next step, equipping you with the skills to manage teams and lead organizational change in technology environments.
Not everyone starts with a bachelor's degree. Some students opt for an associates degree, which provides foundational skills and paves the way for entry-level positions or further study.
Additionally, if your goals lean toward academia or educational leadership, pursuing one of the online ed doctorates can be invaluable for those aiming to shape the future of computer science education. Each pathway offers unique benefits for progressing your computer science journey.
University of Hong Kong
Federal University of Paraíba
Sapporo Medical University
University of South Florida
University of Bremen
Berea College
University of Michigan–Ann Arbor
Australian National University
Macquarie University
University of Electronic Science and Technology of China
Hebrew University of Jerusalem
Çanakkale Onsekiz Mart University
Northwestern University
Mitsui Chemicals (Germany)
National Institutes of Health
Université Paris Cité