World's Best Scientists 2026 revealed!
Ioannis Ch. Paschalidis

Ioannis Ch. Paschalidis

D-Index & Metrics

Computer Science

D-Index
40
Citations
6922
World Ranking
9297
National Ranking
3955

Ioannis Ch. Paschalidis 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 Ioannis Ch. Paschalidis 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: 313 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Ioannis Ch. Paschalidis 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 Ioannis Ch. Paschalidis 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: 40 D-Index — 37th percentile

37% 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

  • 2014 - IEEE Fellow For contributions to the control and optimization of communication and sensor networks, manufacturing systems, and biological systems

Overview

Ioannis Ch. Paschalidis is affiliated with Boston University in the United States. Their research primarily spans the field of Computer Science, contributing to 98 publications with a focus on several subfields including Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Electrical and Electronic Engineering, and Computer Networks and Communications.

The scientist's research covers a range of topics, notably Machine Learning in Healthcare, Reinforcement Learning in Robotics, Dementia and Cognitive Impairment Research, Adversarial Robustness in Machine Learning, Advanced Bandit Algorithms Research, Sparse and Compressive Sensing Techniques, and Transportation Planning and Optimization.

Frequent co-authors in their work include:

  • Christos G. Cassandras
  • Boran Hao
  • Rhoda Au
  • Alex Olshevsky
  • Cody Karjadi

The scientist has contributed to numerous publications in various venues. The most frequent publication outlets are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Alzheimer's & Dementia
  • PLoS ONE
  • Fertility and Sterility

Selected recent papers include:

  • "Physiological and socioeconomic characteristics predict COVID-19 mortality and resource utilization in Brazil," 2020, PLoS ONE
  • "Detection of dementia on voice recordings using deep learning: a Framingham Heart Study," 2021, Alzheimer's Research & Therapy
  • "Early prediction of level-of-care requirements in patients with COVID-19," 2020, eLife
  • "Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator," 2020, International Journal of Medical Informatics
  • "Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach," 2022, Alzheimer's & Dementia

In 2014, Ioannis Ch. Paschalidis received the IEEE Fellow award for contributions to the control and optimization of communication and sensor networks, manufacturing systems, and biological systems.

Best Publications

  • Federated learning of predictive models from federated Electronic Health Records.

    Theodora S. Brisimi;Ruidi Chen;Theofanie Mela;Alex Olshevsky

  • Congestion-dependent pricing of network services

    I.Ch. Paschalidis;J.N. Tsitsiklis

  • Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13-19.

    Dima Kozakov;David R. Hall;Dmitri Beglov;Ryan Brenke

  • Optimization of Multiclass Queueing Networks: Polyhedral and Nonlinear Characterizations of Achievable Performance

    Dimitris J. Bertsimas;Ioannis Ch Paschalidis;John N. Tsitsiklis

  • Data-driven estimation in equilibrium using inverse optimization

    Dimitris Bertsimas;Vishal Gupta;Ioannis Ch. Paschalidis

  • Prediction of hospitalization due to heart diseases by supervised learning methods.

    Wuyang Dai;Theodora S. Brisimi;William G. Adams;Theofanie Mela

  • Inverse Optimization: A New Perspective on the Black-Litterman Model

    Dimitris Bertsimas;Vishal Gupta;Ioannis Ch. Paschalidis

  • Botnet Detection Based on Anomaly and Community Detection

    Jing Wang;Ioannis Ch. Paschalidis

  • Designing Metabolic Division of Labor in Microbial Communities.

    Meghan Thommes;Taiyao Wang;Qi Zhao;Ioannis Ch. Paschalidis

  • Spatio-temporal network anomaly detection by assessing deviations of empirical measures

    Ioannis Ch. Paschalidis;Georgios Smaragdakis

  • A robust learning approach for regression models based on distributionally robust optimization

    Ruidi Chen;Ioannis Ch. Paschalidis

  • Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems

    Dimitris Bertsimas;Ioannis Ch. Paschalidis

  • Pricing in multiservice loss networks: static pricing, asymptotic optimality and demand substitution effects

    Unknown

  • Asymptotic buffer overflow probabilities in multiclass multiplexers: an optimal control approach

    D. Bertsimas;I.C. Paschalidis;J.N. Tsitsiklis

  • On the large deviations behavior of acyclic networks of $G/G/1$ queues

    Dimitris Bertsimas;Ioannis Ch. Paschalidis;John N. Tsitsiklis

  • Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach

    Theodora S. Brisimi;Tingting Xu;Taiyao Wang;Wuyang Dai

  • Sensing and Classifying Roadway Obstacles in Smart Cities: The Street Bump System

    Theodora S. Brisimi;Christos G. Cassandras;Chris Osgood;Ioannis Ch. Paschalidis

  • Encounter complexes and dimensionality reduction in protein-protein association.

    Dima Kozakov;Keyong Li;David R Hall;Dmitri Beglov

  • Demand-Side Management for Regulation Service Provisioning Through Internal Pricing

    I. C. Paschalidis;Binbin Li;M. C. Caramanis

  • Large deviations analysis of the generalized processor sharing policy

    Dimitris Bertsimas;Ioannis Ch. Paschalidis;John N. Tsitsiklis

  • Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator.

    Salomón Wollenstein-Betech;Christos G. Cassandras;Ioannis Ch. Paschalidis

  • Optimization of multiclass queuing networks : polyhedral and nonlinear characterizations of achievable performance

    Dimitris Bertsimas;Ioannis Ch. Paschalidis;John N. Tsitsiklis

  • Pricing in Multiservice Loss Networks: Static Pricing, Asymptotic Optimality, and Demand

    Substitution Efiects;Ioannis Ch . Paschalidis;Yong Liu

Frequent Co-Authors

Christos G. Cassandras
Christos G. Cassandras Boston University
Sandor Vajda
Sandor Vajda Boston University
Alex Olshevsky
Alex Olshevsky Boston University
Rhoda Au
Rhoda Au Boston University
Calin Belta
Calin Belta Boston University
Ayse K. Coskun
Ayse K. Coskun Boston University
Michael E. Hasselmo
Michael E. Hasselmo Boston University
Marco Pavone
Marco Pavone Stanford University
Ed Reznik
Ed Reznik Memorial Sloan Kettering Cancer Center

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 Computer Science in the USA opens doors to a variety of related online degrees and flexible career paths. For those interested in blending hardware and software expertise, pursuing an electrical engineering online degree provides an innovative edge. However, prospective students should pay close attention to electrical engineering online tuition costs for budget planning.

Fast-tracking your career doesn’t always require a lengthy commitment. Many tech professionals successfully start or advance their careers through quick certifications that pay well, offering valuable credentials in months rather than years.

For those aiming for leadership roles or specialized skills, consider enrolling in the shortest online masters degree programs. These accelerated graduate options can often be completed in a year, jumpstarting your advancement.

Finally, it’s important to choose advanced study programs with proven value in the job market. Explore the most useful masters degrees to ensure your academic investment leads to in-demand skills and rewarding opportunities.

Best Scientists Citing Ioannis Ch. Paschalidis

Trending Scientists

Recently Published Articles