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Albert-László Barabási

Albert-László Barabási

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Best Scientists
2025
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Computer Science
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Best Scientists 171 815 746 490 438 543 301079
Computer Science 143 48 45 27 25 331 280341

Albert-László Barabási publications per year

The chart shows the history of publications by Albert-László Barabási between 1989 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Albert-László Barabási published across 38 years, from 1989 to 2026, averaging 15.3 papers a year. Output peaked at 33 publications in 1995. 12 of the 580 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1989 to 2026. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 1995. 1989: 1 publication 1990: 2 publications 1991: 4 publications 1992: 5 publications 1993: 4 publications 1994: 9 publications 1995: 33 publications 1996: 9 publications 1997: 14 publications 1998: 11 publications 1999: 18 publications 2000: 12 publications 2001: 20 publications 2002: 18 publications 2003: 21 publications 2004: 17 publications 2005: 15 publications 2006: 13 publications 2007: 18 publications 2008: 16 publications 2009: 13 publications 2010: 14 publications 2011: 19 publications 2012: 24 publications 2013: 14 publications 2014: 23 publications 2015: 19 publications 2016: 20 publications 2017: 18 publications 2018: 14 publications 2019: 21 publications 2020: 17 publications 2021: 30 publications 2022: 22 publications 2023: 22 publications 2024: 18 publications 2025: 11 publications 2026: 1 publication
1989 2026

580 publications in total across all disciplines

View publications per year as a table
Albert-László Barabási: publications per year, 1989 to 2026
Year Publications
1989 1
1990 2
1991 4
1992 5
1993 4
1994 9
1995 33
1996 9
1997 14
1998 11
1999 18
2000 12
2001 20
2002 18
2003 21
2004 17
2005 15
2006 13
2007 18
2008 16
2009 13
2010 14
2011 19
2012 24
2013 14
2014 23
2015 19
2016 20
2017 18
2018 14
2019 21
2020 17
2021 30
2022 22
2023 22
2024 18
2025 11
2026 1
Total 580
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Albert-László Barabási 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 Albert-László Barabási sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 322–331 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 331 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
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
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
322–331 206 331
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
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Albert-László Barabási 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 Albert-László Barabási sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 131+ D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 143 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
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+ 98 143
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Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Engineering and Technology in United States Leader Award
  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2007 - Member of Academia Europaea
  • 2003 - Fellow of American Physical Society (APS) Citation For his discovery of scalefree networks and for his theories of surface roughening and strained surfaces
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Albert-László Barabási is affiliated with Northeastern University in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a significant focus on Molecular Biology, Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, and Sociology and Political Science.

The scientist's work covers several main topics, including:

  • Bioinformatics and Genomic Networks
  • Scientometrics and Bibliometrics Research
  • Computational Drug Discovery Methods
  • Complex Network Analysis Techniques
  • Nutritional Studies and Diet
  • Metabolomics and Mass Spectrometry Studies
  • Functional Brain Connectivity Studies

Recent publications by Albert-László Barabási include:

  • "Historical comparison of gender inequality in scientific careers across countries and disciplines," 2020, Proceedings of the National Academy of Sciences
  • "Network medicine framework for identifying drug-repurposing opportunities for COVID-19," 2021, PubMed Central
  • "Genomics and phenomics of body mass index reveals a complex disease network," 2022, Nature Communications
  • "Quantifying NFT-driven networks in crypto art," 2022, Scientific Reports
  • "Improving the generalizability of protein-ligand binding predictions with AI-Bind," 2023, Nature Communications

Frequent co-authors include:

  • Dashun Wang
  • Giulia Menichetti
  • Joseph Loscalzo
  • Deisy Morselli Gysi
  • Alexander J. Gates

Albert-László Barabási has contributed extensively to publication venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Proceedings of the National Academy of Sciences
  • Scientific Reports

In addition to numerous articles, Barabási has a book titled The Science of Science, published in 2021 by Cambridge University Press.

The scientist has received several awards, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2011
  • Member of Academia Europaea, 2007
  • Fellow of the American Physical Society (APS), 2003, for work on scalefree networks and theories of surface roughening and strained surfaces
  • Member of the European Academy of Sciences and Arts

Best Publications

  • Emergence of Scaling in Random Networks

    Albert László Barabási;Réka Albert

  • Statistical mechanics of complex networks

    Reka Zsuzsanna Albert;Albert-Laszlo Barabasi

  • Error and attack tolerance of complex networks

    Reka Albert;Hawoong Jeong;Albert László Barabási

  • Network biology: understanding the cell's functional organization

    Albert László Barabási;Zoltán N. Oltvai

  • Understanding individual human mobility patterns

    Marta C. González;A R Cesar Hidalgo;A R Cesar Hidalgo;Albert-László Barabási;Albert-László Barabási;Albert-László Barabási

  • Linked: The New Science of Networks

    Albert-László Barabási

  • The large-scale organization of metabolic networks

    Hawoong Jeong;B Tombor;R Albert;ZN Oltvai

  • Lethality and centrality in protein networks

    Hawoong Jeong;SP Mason;AL Barabasi;ZN Oltvai

  • Diameter of the World-Wide Web

    Réka Albert;Hawoong Jeong;Albert László Barabási

  • Fractal Concepts in Surface Growth

    Albert-Laszló Barabási;Harry Eugene Stanley

  • Network Medicine: A Network-Based Approach to Human Disease

    Albert-László Barabási;Natali Gulbahce;Natali Gulbahce;Natali Gulbahce;Joseph Loscalzo

  • Hierarchical Organization of Modularity in Metabolic Networks

    E. Ravasz;A. L. Somera;D. A. Mongru;Z. N. Oltvai

  • Computational Social Science

    David M. Lazer;Alex Pentland;Lada Adamic;Sinan Aral;Sinan Aral

  • The structure and dynamics of networks

    Mark E J Newman;Albert László Barabási;Duncan J. Watts;Duncan J. Watts

  • The diameter of the world wide web

    Réka Albert;Hawoong Jeong;Albert-László Barabási

  • Limits of Predictability in Human Mobility

    Chaoming Song;Zehui Qu;Zehui Qu;Nicholas Blumm;Nicholas Blumm;Albert László Barabási;Albert László Barabási

  • Evolution of the social network of scientific collaborations

    AL Barabasi;Hawoong Jeong;Z Neda;Z Neda;E Ravasz

  • The human disease network

    Kwang Il Goh;Michael E. Cusick;David Valle;Barton Childs

  • Scale-Free Networks.

    Albert-László Barabási;Eric Bonabeau

  • Controllability of complex networks

    Yang-Yu Liu;Jean-Jacques Slotine;Albert-László Barabási;Albert-László Barabási;Albert-László Barabási

  • Mean-field theory for scale-free random networks

    Albert László Barabási;Réka Albert;Hawoong Jeong

Frequent Co-Authors

Tamás Vicsek
Tamás Vicsek Eötvös Loránd University
Marc Vidal
Marc Vidal Harvard University
Hawoong Jeong
Hawoong Jeong Korea Advanced Institute of Science and Technology
Réka Albert
Réka Albert Pennsylvania State University
Joseph Loscalzo
Joseph Loscalzo Harvard Medical School
Shlomo Havlin
Shlomo Havlin Bar-Ilan University
János Kertész
János Kertész Central European University
David E. Hill
David E. Hill Harvard University
Frederick P. Roth
Frederick P. Roth Lunenfeld-Tanenbaum Research Institute
Nicholas A. Christakis
Nicholas A. Christakis Yale University

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