World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
8955
World Ranking
4909
National Ranking
2281

Maria-Florina Balcan 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 Maria-Florina Balcan 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Maria-Florina Balcan 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 Maria-Florina Balcan 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: 53 D-Index — 67th percentile

67% 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

  • 2019 - ACM Grace Murray Hopper Award For foundational and breakthrough contributions to minimally-supervised learning.
  • 2014 - Fellow of Alfred P. Sloan Foundation

Overview

Maria-Florina Balcan is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the field of computer science, with a focus on several subfields including artificial intelligence, management science and operations research, computer networks and communications, computational theory and mathematics, and computer vision and pattern recognition.

Their work covers a variety of topics within machine learning and algorithms, such as machine learning and data classification, advanced bandit algorithms research, adversarial robustness in machine learning, auction theory and applications, constraint satisfaction and optimization, and optimization and search problems.

Selected recent publications by Maria-Florina Balcan include:

  • How Much Data Is Sufficient to Learn High-Performing Algorithms? (2024), Journal of the ACM
  • k -center Clustering under Perturbation Resilience (2020), ACM Transactions on Algorithms
  • Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond (2021), arXiv (Cornell University)

Other recent works associated with their collaborations include Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing (2021) published in arXiv (Cornell University).

Frequent coauthors of Maria-Florina Balcan include Tüomas Sandholm, Dravyansh Sharma, Ellen Vitercik, Mikhail Khodak, and Siddharth Prasad. These collaborations reflect a consistent engagement with colleagues across various areas of their research interests.

The venues where Maria-Florina Balcan has published with notable frequency are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of the ACM
  • Cambridge University Press eBooks
  • ACM Transactions on Algorithms

Among professional recognitions, Maria-Florina Balcan received the ACM Grace Murray Hopper Award in 2019 for foundational contributions to minimally-supervised learning. They were also named a Fellow of the Alfred P. Sloan Foundation in 2014.

Best Publications

  • Agnostic active learning

    Maria-Florina Balcan;Alina Beygelzimer;John Langford

  • Margin based active learning

    Maria-Florina Balcan;Andrei Broder;Tong Zhang

  • Co-Training and Expansion: Towards Bridging Theory and Practice

    Maria-florina Balcan;Avrim Blum;Ke Yang

  • A theory of learning with similarity functions

    Maria-Florina Balcan;Avrim Blum;Nathan Srebro

  • Approximation Algorithms and Online Mechanisms for Item Pricing

    Maria-Florina Balcan;Avrim Blum

  • The true sample complexity of active learning

    Maria-Florina Balcan;Steve Hanneke;Jennifer Wortman Vaughan

  • Scalable Kernel Methods via Doubly Stochastic Gradients

    Bo Dai;Bo Xie;Niao He;Yingyu Liang

  • Kernels as features: On kernels, margins, and low-dimensional mappings

    Maria-Florina Balcan;Avrim Blum;Santosh Vempala

  • The True Sample Complexity of Active Learning.

    Maria-Florina Balcan;Steve Hanneke;Jennifer Wortman

  • A discriminative framework for clustering via similarity functions

    Maria-Florina Balcan;Avrim Blum;Santosh Vempala

  • Distributed Learning, Communication Complexity and Privacy

    Maria Florina Balcan;Avrim Blum;Shai Fine;Yishay Mansour

  • Learning submodular functions

    Maria-Florina Balcan;Nicholas J. A. Harvey

  • Approximate clustering without the approximation

    Maria-Florina Balcan;Avrim Blum;Anupam Gupta

  • Item pricing for revenue maximization

    Maria-Florina Balcan;Avrim Blum;Yishay Mansour

  • Robust hierarchical clustering

    Maria-Florina Balcan;Yingyu Liang;Pramod Gupta

  • The Power of Localization for Efficiently Learning Linear Separators with Noise

    Pranjal Awasthi;Maria Florina Balcan;Philip M. Long

  • Mechanism design via machine learning

    M.-F. Balcan;A. Blum;J.D. Hartline;Y. Mansour

  • Clustering under Perturbation Resilience

    Maria Florina Balcan;Yingyu Liang

  • Active and passive learning of linear separators under log-concave distributions

    Maria Florina Balcan;Philip M. Long

  • A discriminative model for semi-supervised learning

    Maria-Florina Balcan;Avrim Blum

  • Adaptive Gradient-Based Meta-Learning Methods

    Mikhail Khodak;Maria-Florina F. Balcan;Ameet S. Talwalkar

  • On a theory of learning with similarity functions

    Maria-Florina Balcan;Avrim Blum

  • Improved Distributed Principal Component Analysis

    Yingyu Liang;Maria-Florina F Balcan;Vandana Kanchanapally;David Woodruff

Frequent Co-Authors

Avrim Blum
Avrim Blum Toyota Technological Institute at Chicago
Yingyu Liang
Yingyu Liang University of Wisconsin–Madison
Tuomas Sandholm
Tuomas Sandholm Carnegie Mellon University
Yishay Mansour
Yishay Mansour Tel Aviv University
David P. Woodruff
David P. Woodruff Carnegie Mellon University
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Shang-Hua Teng
Shang-Hua Teng University of Southern California
Mark Braverman
Mark Braverman Princeton University
Santosh Vempala
Santosh Vempala Georgia Institute of Technology
Philip M. Long
Philip M. Long Google (United States)

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

When considering a career in Computer Science, it’s essential to explore your educational options to find the best path forward. Many students pursue online degrees for flexibility and affordability. For those starting out, earning an online associate's degree can be a practical first step, building foundational skills in programming and technology.

Affordability is another critical factor. Choosing one of the cheapest online degrees allows students to maximize their return on investment while minimizing student debt. Moving to graduate studies, a master’s in fields like computer science or data analytics ranks among the most valuable masters degrees, enhancing career prospects and potential earnings.

Concerns about academic history are also common. Some wonder if it’s possible to advance with a lower GPA. Fortunately, there are many best online colleges that accept low gpa, making further education in computer science accessible to a wider range of students.

Carefully researching these pathways ensures every student can design an educational plan that fits their needs and goals in tech.

Best Scientists Citing Maria-Florina Balcan

Trending Scientists

Recently Published Articles