World's Best Scientists 2026 revealed!
Marina Vannucci

Marina Vannucci

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 39 2173 1918 918 760 142 7181
Computer Science 41 8793 8543 3759 3610 160 7718

Marina Vannucci publications per year

The chart shows the history of publications by Marina Vannucci between 1996 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marina Vannucci published across 31 years, from 1996 to 2026, averaging 8.2 papers a year. Output peaked at 30 publications in 2024. 14 of the 253 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1996 to 2026. Vertical axis: number of publications, 0 to 30. Peak 30 publications in 2024. 1996: 1 publication 1997: 1 publication 1998: 2 publications 1999: 4 publications 2000: 4 publications 2001: 2 publications 2002: 2 publications 2003: 6 publications 2004: 6 publications 2005: 5 publications 2006: 8 publications 2007: 5 publications 2008: 12 publications 2009: 11 publications 2010: 10 publications 2011: 8 publications 2012: 5 publications 2013: 15 publications 2014: 9 publications 2015: 11 publications 2016: 14 publications 2017: 10 publications 2018: 7 publications 2019: 5 publications 2020: 12 publications 2021: 13 publications 2022: 14 publications 2023: 7 publications 2024: 30 publications 2025: 13 publications 2026: 1 publication
1996 2026

253 publications in total across all disciplines

View publications per year as a table
Marina Vannucci: publications per year, 1996 to 2026
Year Publications
1996 1
1997 1
1998 2
1999 4
2000 4
2001 2
2002 2
2003 6
2004 6
2005 5
2006 8
2007 5
2008 12
2009 11
2010 10
2011 8
2012 5
2013 15
2014 9
2015 11
2016 14
2017 10
2018 7
2019 5
2020 12
2021 13
2022 14
2023 7
2024 30
2025 13
2026 1
Total 253
Download as CSV

Marina Vannucci publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Marina Vannucci sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 142–146 publications, is where this scientist sits. 42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 142 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112 142
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

Marina Vannucci D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Marina Vannucci sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 39 D-Index, is where this scientist sits. 30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 39 D-Index — 41st percentile

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

The last bar groups every scientist with 86 D-Index or more.

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150 39
40 138
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
Download as CSV

Research.com Recognitions

  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - Fellow of the American Statistical Association (ASA)

Overview

Marina Vannucci is affiliated with Rice University in the United States and specializes primarily in the field of Computer Science. Their research covers a broad range of subfields, including Artificial Intelligence, Molecular Biology, Cognitive Neuroscience, Statistics and Probability, and Signal Processing.

The main topics of their work focus on Bayesian Methods and Mixture Models, Statistical Methods and Inference, Neural Dynamics and Brain Function, Gut Microbiota and Health, Metabolomics and Mass Spectrometry Studies, Statistical Methods and Bayesian Inference, and Functional Brain Connectivity Studies.

Marina Vannucci has published extensively, with notable recent papers including:

  • Bayesian statistics and modelling, 2021, Nature Reviews Methods Primers
  • Bayesian statistics and modelling, 2021, Nature Reviews Methods Primers
  • Bayesian graphical models for modern biological applications, 2021, Statistical Methods & Applications
  • Evidence of state-dependence in the effectiveness of responsive neurostimulation for seizure modulation, 2021, Brain Stimulation
  • Noradrenaline tracks emotional modulation of attention in human amygdala, 2023, Current Biology

Frequent co-authors they have collaborated with include Michele Guindani, Matthew D. Koslovsky, Beniamino Hadj-Amar, Meng Li, and Christine B. Peterson.

Their work has appeared in publication venues such as arXiv (Cornell University), Biometrics, The Annals of Applied Statistics, Bayesian Analysis, and Nature Reviews Methods Primers.

Marina Vannucci has received recognition in the form of fellowships. They were named a Fellow of the American Association for the Advancement of Science (AAAS) in 2012 and a Fellow of the American Statistical Association (ASA) in 2006.

Best Publications

  • Bayesian statistics and modelling

    Rens van de Schoot;Sarah Depaoli;Ruth King;Ruth King;Bianca Kramer

  • Multivariate Bayesian variable selection and prediction

    Philip J. Brown;Marina Vannucci;T. Fearn

  • Gene selection: a Bayesian variable selection approach

    Kyeong Eun Lee;Naijun Sha;Edward R. Dougherty;Marina Vannucci

  • Bayesian Variable Selection in Clustering High-Dimensional Data

    Mahlet G Tadesse;Naijun Sha;Marina Vannucci

  • A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data.

    Qianxing Mo;Ronglai Shen;Cui Guo;Marina Vannucci

  • Variable selection in clustering via Dirichlet process mixture models

    Sinae Kim;Mahlet G. Tadesse;Marina Vannucci

  • Bayesian Inference of Multiple Gaussian Graphical Models

    Christine B. Peterson;Francesco C. Stingo;Marina Vannucci

  • Bayesian wavelet regression on curves with application to a spectroscopic calibration problem

    Philip J. Brown;T. Fearn;Marina Vannucci

  • Bayes model averaging with selection of regressors

    Philip J. Brown;Marina Vannucci;T. Fearn

  • Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes

    Francesco C. Stingo;Yian A. Chen;Mahlet G. Tadesse;Marina Vannucci

  • Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage.

    Naijun Sha;Marina Vannucci;Mahlet G. Tadesse;Philip J. Brown

  • Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis

    Jeffrey S Morris;Marina Vannucci;Philip J Brown;Raymond J Carroll

  • Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data

    Seong Soo Kim;A. L. Narasimha Reddy;Marina Vannucci

  • Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies

    Terrance Dean Savitsky;Marina Vannucci;Naijun Sha

  • Bayesian variable selection for the analysis of microarray data with censored outcomes

    Naijun Sha;Mahlet G. Tadesse;Marina Vannucci

  • Bayesian inference for gene expression and proteomics

    Kim-Anh Do;Peter Müller;Marina Vannucci

  • Covariance structure of wavelet coefficients: theory and models in a Bayesian perspective

    M. Vannucci;F. Corradi

  • Wavelet change-point prediction of transmembrane proteins.

    Pietro Lio;Marina Vannucci

  • Finding pathogenicity islands and gene transfer events in genome data.

    Pietro Liò;Marina Vannucci

  • The choice of variables in multivariate regression: a non-conjugate Bayesian decision theory approach

    Philip J. Brown;T. Fearn;Marina Vannucci

Frequent Co-Authors

Mingyu Liang
Mingyu Liang Medical College of Wisconsin
Allen W. Cowley
Allen W. Cowley Medical College of Wisconsin
Francesco Falciani
Francesco Falciani University of Liverpool
John M. Stern
John M. Stern University of California, Los Angeles
Raymond J. Carroll
Raymond J. Carroll Texas A&M University
Joanne R. Lupton
Joanne R. Lupton Texas A&M University
Kim Anh Do
Kim Anh Do The University of Texas MD Anderson Cancer Center
Robert S. Chapkin
Robert S. Chapkin Texas A&M University
Ching C. Lau
Ching C. Lau Baylor College of Medicine
Howard J. Jacob
Howard J. Jacob AbbVie (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

For students interested in Mathematics, exploring related online degrees can open diverse career pathways. Many professionals complement their technical skills with business knowledge, making programs like the quickest online MBA attractive for those looking to accelerate their education and enter leadership roles swiftly.

Marketing is another field where mathematical skills prove invaluable, especially in data analysis and strategy. Pursuing affordable and effective options such as a marketing masters can enhance career prospects in this competitive industry by combining quantitative skills with market insight.

Some professionals prefer intensive study options, making a 1 year MBA program a perfect fit. These programs allow quick transition into managerial roles while leveraging a strong analytical foundation.

Additionally, for those who have already earned credits, considering MBA transfer credits can save time and resources, enabling a smoother journey through graduate education while building on existing experience.

Best Scientists Citing Marina Vannucci

Trending Scientists

Recently Published Articles