World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6309
World Ranking
10216
National Ranking
4294

Paolo Costa 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 Paolo Costa 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: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Paolo Costa 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 Paolo Costa 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.

Overview

Paolo Costa is affiliated with Microsoft in the United States and has contributed to multiple areas within engineering, with a specific focus on electrical and electronic engineering.

Their research spans a range of subfields including molecular biology, atomic and molecular physics and optics, biomedical engineering, and artificial intelligence. The main research topics covered in their work include optical network technologies, semiconductor lasers and optical devices, fungal and yeast genetics research, biofuel production and bioconversion, microbial metabolic engineering and bioproduction, quantum optics and atomic interactions, and advanced fiber laser technologies.

Paolo Costa has published several papers in prominent venues. Recent papers include:

  • Synchronous subnanosecond clock and data recovery for optically switched data centres using clock phase caching, 2020, Nature Electronics
  • Frequency-Stabilized Links for Coherent WDM Fiber Interconnects in the Datacenter, 2020, Journal of Lightwave Technology
  • Re-architecting Traffic Analysis with Neural Network Interface Cards, 2022, Zenodo (CERN European Organization for Nuclear Research)
  • Managed-Retention Memory: A New Class of Memory for the AI Era, 2025, arXiv (Cornell University)
  • Good things come in small packages: Should we build AI clusters with Lite-GPUs?, 2025, arXiv (Cornell University)

The frequent coauthors with whom Paolo Costa has collaborated include Hitesh Ballani, Sergey Legtchenko, Junyi Liu, Burcu Canakci, and Dushyanth Narayanan. Their work has appeared in a variety of publication venues besides those listed with recent papers, notably in the Brazilian Journal of Development.

Best Publications

  • Towards predictable datacenter networks

    Hitesh Ballani;Paolo Costa;Thomas Karagiannis;Ant Rowstron

  • Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks

    P. Costa;C. Mascolo;M. Musolesi;G.P. Picco

  • Symbiotic routing in future data centers

    Hussam Abu-Libdeh;Paolo Costa;Antony Rowstron;Greg O'Shea

  • Camdoop: exploiting in-network aggregation for big data applications

    Paolo Costa;Austin Donnelly;Antony Rowstron;Greg O'Shea

  • The RUNES Middleware for Networked Embedded Systems and its Application in a Disaster Management Scenario

    P. Costa;G. Coulson;R. Gold;M. Lad

  • Sirius: A Flat Datacenter Network with Nanosecond Optical Switching

    Hitesh Ballani;Paolo Costa;Raphael Behrendt;Daniel Cletheroe

  • Towards lightweight information dissemination in inter-vehicular networks

    Paolo Costa;Davide Frey;Matteo Migliavacca;Luca Mottola

  • NaaS: network-as-a-service in the cloud

    Paolo Costa;Matteo Migliavacca;Peter Pietzuch;Alexander L. Wolf

  • Bridging the tenant-provider gap in cloud services

    Virajith Jalaparti;Hitesh Ballani;Paolo Costa;Thomas Karagiannis

  • The RUNES middleware: a reconfigurable component-based approach to networked embedded systems

    P. Costa;G. Coulson;C. Mascolo;G.P. Picco

  • TeenyLIME: transiently shared tuple space middleware for wireless sensor networks

    Paolo Costa;Luca Mottola;Amy L. Murphy;Gian Pietro Picco

  • Programming wireless sensor networks with the TeenyLime middleware

    Paolo Costa;Luca Mottola;Amy L. Murphy;Gian Pietro Picco

  • SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures

    Alexandros Koliousis;Matthias Weidlich;Raul Castro Fernandez;Alexander L. Wolf

  • Semi-Probabilistic Content-Based Publish-Subscribe

    P. Costa;G.P. Picco

  • Ultrafast optical circuit switching for data centers using integrated soliton microcombs.

    Arslan Sajid Raja;Sophie Lange;Maxim Karpov;Kai Shi

  • Epidemic algorithms for reliable content-based publish-subscribe: an evaluation

    P. Costa;M. Migliavacca;G.P. Picco;G. Cugola

  • Offering network performance guarantees in multi-tenant datacenters

    Hitesh Ballani;Paolo Costa;Thomas Karagiannis;Antony Rowstron

  • Reconfigurable Component-based Middleware for Networked Embedded Systems

    Paolo Costa;Geoff Coulson;Cecilia Mascolo;Luca Mottola

  • NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres

    Luo Mai;Lukas Rupprecht;Abdul Alim;Paolo Costa

  • Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • Persistent content-based information dissemination in hybrid vehicular networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • Shoal: A Network Architecture for Disaggregated Racks

    Vishal Shrivastav;Asaf Valadarsky;Hitesh Ballani;Paolo Costa

Frequent Co-Authors

Hitesh Ballani
Hitesh Ballani Microsoft (United States)
Gian Pietro Picco
Gian Pietro Picco University of Trento
Benn C. Thomsen
Benn C. Thomsen Microsoft (United States)
Peter Pietzuch
Peter Pietzuch Imperial College London
Thomas Karagiannis
Thomas Karagiannis Microsoft (United States)
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Antony Rowstron
Antony Rowstron Microsoft (United States)
Hugh E. Williams
Hugh E. Williams RMIT University
Alexander L. Wolf
Alexander L. Wolf University of California, Santa Cruz
Luca Mottola
Luca Mottola Polytechnic University of Milan

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