| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Computer Science | 39 | 9528 | 9254 | 4038 | 3870 | 149 | 11052 |
The chart shows the history of publications by Slobodan Vucetic between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Slobodan Vucetic published across 27 years, from 1999 to 2025, averaging 7 papers a year. Output peaked at 14 publications in 2024. 24 of the 189 publications appeared in the last two years.
189 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1999 | 2 |
| 2000 | 4 |
| 2001 | 4 |
| 2002 | 1 |
| 2003 | 6 |
| 2004 | 4 |
| 2005 | 8 |
| 2006 | 9 |
| 2007 | 4 |
| 2008 | 4 |
| 2009 | 11 |
| 2010 | 7 |
| 2011 | 9 |
| 2012 | 11 |
| 2013 | 13 |
| 2014 | 7 |
| 2015 | 3 |
| 2016 | 8 |
| 2017 | 2 |
| 2018 | 5 |
| 2019 | 8 |
| 2020 | 8 |
| 2021 | 11 |
| 2022 | 7 |
| 2023 | 9 |
| 2024 | 14 |
| 2025 | 10 |
| Total | 189 |
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 Slobodan Vucetic sits on this spectrum.
This scientist: 149 publications — 26th percentile
26% 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 | 149 |
| 152–161 | 559 | |
| 162–171 | 534 | |
| 172–181 | 556 | |
| 182–191 | 583 | |
| 192–201 | 519 | |
| 202–211 | 508 | |
| 212–221 | 490 | |
| 222–231 | 437 | |
| 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 Slobodan Vucetic sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% 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 | 39 |
| 40–41 | 907 | |
| 42–43 | 821 | |
| 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 |
Slobodan Vucetic is affiliated with Temple University in the United States and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence. Their research spans related subfields including Genetics, Oncology, Molecular Biology, and Cognitive Neuroscience.
Their recent papers cover a range of interdisciplinary topics and were published in various academic venues. Notable publications include:
Commonly explored topics in Vucetic's research include:
Frequent collaborators include Eduard Dragut, Aniruddha Maiti, Elizabeth Garrison, Daniel Wiese, and Antoinette M. Stroup.
Research outputs have been disseminated in a variety of publication venues. The most frequent include:
Vucetic's work integrates computational methods with biomedical and cancer research, reflecting a multidisciplinary approach that bridges artificial intelligence techniques with genetics and oncology. This cross-domain expertise positions their contributions at the intersection of technology and health sciences.
Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes
Kang Peng;Predrag Radivojac;Slobodan Vucetic;A Keith Dunker
Hongbo Xie;Slobodan Vucetic;Lilia M. Iakoucheva;Christopher J. Oldfield
Zoran Obradovic;Kang Peng;Slobodan Vucetic;Predrag Radivojac
Kang Peng;Slobodan Vucetic;Predrag Radivojac;Celeste J. Brown
Zoran Obradovic;Kang Peng;Slobodan Vucetic;Predrag Radivojac
Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur
Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee
Hongbo Xie;Slobodan Vucetic;Lilia M. Iakoucheva;Christopher J. Oldfield
Slobodan Vucetic;Hongbo Xie;Lilia M. Iakoucheva;Christopher J. Oldfield
Vladimir N Uversky;Vladimir N Uversky;Christopher J Oldfield;Uros Midic;Hongbo Xie
Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur
Slobodan Vucetic;Zoran Obradovic;Vladimir Vacic;Predrag Radivojac
Zhuang Wang;Koby Crammer;Slobodan Vucetic
Tian Bai;Shanshan Zhang;Brian L. Egleston;Slobodan Vucetic
Slobodan Vucetic;Zoran Obradovic
Predrag Radivojac;Slobodan Vucetic;Timothy R. O'Connor;Vladimir N. Uversky
Zoran Obradovic;Timothy E. Fiez;Slobodan Vucetic;Aleksandar Lazarevic
Vladan Radosavljevic;Slobodan Vucetic;Zoran Obradovic
Liang Lan;Nemanja Djuric;Yuhong Guo;Slobodan Vucetic
Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA can open doors to a variety of online degrees and career paths. For quick entry into tech roles, consider easy certifications that pay well. These short programs can boost your earning potential and offer flexible learning—ideal for career-changers or those seeking skill upgrades.
If you’re looking for a more advanced qualification, some of the quickest cheapest masters degree options let you earn your credential affordably and on an accelerated timeline. This allows you to advance rapidly in areas like data science, AI, or cybersecurity.
When choosing your path, it’s smart to consider graduate degrees that are worth it. Focus on in-demand programs aligned with industry needs and tech trends for strong job prospects after graduation.
Not ready for a bachelor’s or master’s? An online associate degree in computer science or IT is a practical first step. It offers foundational knowledge and can lead to entry-level positions or further study—all with the flexibility of online learning.
University of Minho
Animal and Plant Health Agency
Bangor University
Université Laval
Polytechnic Institute of Bragança
Adelphi University
Northwestern University
Institut Pasteur
Autonomous University of Madrid
University of California, San Francisco
Technical University of Denmark
Wellcome/Cancer Research UK Gurdon Institute
University of Oklahoma
University of Sharjah
Vanderbilt University
Federal Institute For Materials Research and Testing