World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6468
World Ranking
10192
National Ranking
18

Ferda Ofli publication distribution in Computer Science in 2026

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 Ferda Ofli sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 80 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ferda Ofli D-index placement in Computer Science in 2026

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 Ferda Ofli sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2018 - ACM Senior Member

Overview

Ferda Ofli is affiliated with Hamad bin Khalifa University in Qatar. Their research primarily spans the fields of Social Sciences and Computer Science, with notable contributions in subfields including Sociology and Political Science, Artificial Intelligence, Communication, Global and Planetary Change, and Computer Vision and Pattern Recognition.

Their work covers a range of topics, prominently:

  • Public Relations and Crisis Communication
  • Disaster Management and Resilience
  • Misinformation and Its Impacts
  • Seismology and Earthquake Studies
  • Anomaly Detection Techniques and Applications
  • Flood Risk Assessment and Management
  • Sentiment Analysis and Opinion Mining

Ferda Ofli has published in multiple venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Zenodo (CERN European Organization for Nuclear Research)
  • Harvard Dataverse
  • SIGSPATIAL Special

Notable recent papers include:

  • "Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions," 2020, Information Processing & Management
  • "GeoCoV19," 2020, SIGSPATIAL Special
  • "Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response," 2020, arXiv (Cornell University)
  • "MEDIC: a multi-task learning dataset for disaster image classification," 2022, Neural Computing and Applications

Frequent coauthors include:

  • Muhammad Imran
  • Firoj Alam
  • Umair Qazi
  • Muhammad Ali Imran
  • Md Tanvirul Alam

In 2018, Ferda Ofli was recognized as an ACM Senior Member.

Best Publications

  • Berkeley MHAD: A comprehensive Multimodal Human Action Database

    F. Ofli;R. Chaudhry;G. Kurillo;R. Vidal

  • Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population

    Stepan Obdrzalek;Gregorij Kurillo;Ferda Ofli;Ruzena Bajcsy

  • Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

    Amaia Salvador;Nicholas Hynes;Yusuf Aytar;Javier Marin

  • Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition

    Ferda Ofli;Rizwan Chaudhry;Gregorij Kurillo;Rene Vidal

  • Sequence of the most informative joints (SMIJ)

    Ferda Ofli;Rizwan Chaudhry;Gregorij Kurillo;René Vidal

  • CrisisMMD: Multimodal Twitter Datasets from Natural Disasters

    Firoj Alam;Ferda Ofli;Muhammad Imran

  • Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

    Javier Marin;Aritro Biswas;Ferda Ofli;Nicholas Hynes

  • Sleep Quality Prediction From Wearable Data Using Deep Learning

    Aarti Sathyanarayana;Shafiq Joty;Luis Fernandez-Luque;Ferda Ofli

  • Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect

    Qifei Wang;Gregorij Kurillo;Ferda Ofli;Ruzena Bajcsy

  • Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition

    Rizwan Chaudhry;Ferda Ofli;Gregorij Kurillo;Ruzena Bajcsy

  • Damage Assessment from Social Media Imagery Data During Disasters

    Dat T. Nguyen;Ferda Ofli;Muhammad Imran;Prasenjit Mitra

  • Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.

    Ferda Ofli;Patrick Meier;Muhammad Imran;Carlos Castillo

  • Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions

    Muhammad Imran;Ferda Ofli;Doina Caragea;Antonio Torralba

  • Processing Social Media Images by Combining Human and Machine Computing during Crises

    Firoj Alam;Ferda Ofli;Muhammad Imran

  • Design and Evaluation of an Interactive Exercise Coaching System for Older Adults: Lessons Learned

    Ferda Ofli;Gregorij Kurillo;Stepan Obdrzalek;Ruzena Bajcsy

  • Image4Act: Online Social Media Image Processing for Disaster Response

    Firoj Alam;Muhammad Imran;Ferda Ofli

  • Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria

    Firoj Alam;Ferda Ofli;Muhammad Imran

  • Impact of Physical Activity on Sleep: A Deep Learning Based Exploration.

    Aarti Sathyanarayana;Shafiq R. Joty;Luis Fernández-Luque;Ferda Ofli

  • GeoCoV19: a dataset of hundreds of millions of multilingual COVID-19 tweets with location information

    Umair Qazi;Muhammad Imran;Ferda Ofli

  • Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media

    Enes Kocabey;Mustafa Camurcu;Ferda Ofli;Yusuf Aytar

  • Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response

    Ferda Ofli;Firoj Alam;Muhammad Imran

Frequent Co-Authors

Ingmar Weber
Ingmar Weber Saarland University
A.M. Tekalp
A.M. Tekalp Koç University
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Ahmed K. Elmagarmid
Ahmed K. Elmagarmid Qatar Computing Research Institute
René Vidal
René Vidal University of Pennsylvania
Sanjay Chawla
Sanjay Chawla Qatar Computing Research Institute
Shafiq Joty
Shafiq Joty Salesforce (United States)
Misha Pavel
Misha Pavel Northeastern University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options can open doors to Computer Science and many other exciting fields. For those wanting to start quickly, consider pursuing an associates degree online, which offers foundational skills and a stepping stone toward a bachelor's degree or entry-level tech roles.

If affordability is a top concern, check out the cheapest online degrees to find programs that fit your budget without compromising on quality. There are reputable programs for various backgrounds and financial situations.

Admission requirements can also matter. Some institutions are flexible, and several online colleges that accept 2.0 gpa make higher education accessible to more students, providing chances for academic growth and career advancement.

Beyond Computer Science, an interdisciplinary approach may be valuable. For instance, learning about what you can do with different degrees, like wondering what jobs can you get with an environmental science degree, helps you see how diverse expertise can complement your tech skills and expand your future career opportunities.

Best Scientists Citing Ferda Ofli

Trending Scientists

Recently Published Articles