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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 52 13457 12110 453 411 244 10285

Federico Marini publications per year

The chart shows the history of publications by Federico Marini between 1998 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Federico Marini published across 29 years, from 1998 to 2026, averaging 13.2 papers a year. Output peaked at 48 publications in 2020. 22 of the 384 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1998 to 2026. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2020. 1998: 1 publication 1999: 1 publication 2000: 0 publications 2001: 1 publication 2002: 1 publication 2003: 3 publications 2004: 6 publications 2005: 3 publications 2006: 7 publications 2007: 3 publications 2008: 4 publications 2009: 7 publications 2010: 7 publications 2011: 5 publications 2012: 10 publications 2013: 18 publications 2014: 28 publications 2015: 12 publications 2016: 11 publications 2017: 20 publications 2018: 24 publications 2019: 29 publications 2020: 48 publications 2021: 35 publications 2022: 26 publications 2023: 26 publications 2024: 26 publications 2025: 20 publications 2026: 2 publications
1998 2026

384 publications in total across all disciplines

View publications per year as a table
Federico Marini: publications per year, 1998 to 2026
Year Publications
1998 1
1999 1
2000 0
2001 1
2002 1
2003 3
2004 6
2005 3
2006 7
2007 3
2008 4
2009 7
2010 7
2011 5
2012 10
2013 18
2014 28
2015 12
2016 11
2017 20
2018 24
2019 29
2020 48
2021 35
2022 26
2023 26
2024 26
2025 20
2026 2
Total 384
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Federico Marini publication distribution in Chemistry in 2026

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

No. of scientists
250 500 750 1,000 1,250
Bar chart with 63 bars. Horizontal axis: publications, 61–80 to 1,295+. Vertical axis: number of scientists, 0 to 1,350. Most scientists, 1,350, have 161–180 publications. The last bar groups every scientist with 1,295 publications or more. The highlighted bar, 241–260 publications, is where this scientist sits. 61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61–80 publications 1,295+

This scientist: 244 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

View publications distribution as a table
Number of Chemistry scientists by publication count, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
Publications Scientists This scientist
61–80 66
81–100 302
101–120 623
121–140 918
141–160 1,218
161–180 1,350
181–200 1,344
201–220 1,281
221–240 1,216
241–260 1,100 244
261–280 979
281–300 939
301–320 764
321–340 643
341–360 628
361–380 522
381–400 459
401–420 397
421–440 327
441–460 270
461–480 265
481–500 252
501–520 201
521–540 185
541–560 148
561–580 148
581–600 132
601–620 114
621–640 104
641–660 91
661–680 92
681–700 73
701–720 57
721–740 54
741–760 67
761–780 45
781–800 46
801–820 39
821–840 32
841–860 36
861–880 29
881–900 26
901–920 24
921–940 14
941–960 23
961–980 28
981–1,000 15
1,001–1,020 29
1,021–1,040 12
1,041–1,060 19
1,061–1,080 12
1,081–1,100 6
1,101–1,120 8
1,121–1,140 12
1,141–1,160 5
1,161–1,180 6
1,181–1,200 14
1,201–1,220 7
1,221–1,240 2
1,241–1,260 6
1,261–1,280 4
1,281–1,294 6
1,295+ 100
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Federico Marini D-index placement in Chemistry in 2026

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

No. of scientists
250 500 750 1,000
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 159+. Vertical axis: number of scientists, 0 to 1,051. Most scientists, 1,051, have 56–57 D-Index. The last bar groups every scientist with 159 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40–41 D-Index 159+

This scientist: 52 D-Index — 26th percentile

26% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

View D-Index distribution as a table
Number of Chemistry scientists by D-index, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
D-Index Scientists This scientist
40–41 289
42–43 612
44–45 808
46–47 776
48–49 835
50–51 861
52–53 872 52
54–55 933
56–57 1,051
58–59 930
60–61 882
62–63 834
64–65 731
66–67 775
68–69 683
70–71 646
72–73 561
74–75 501
76–77 437
78–79 388
80–81 354
82–83 292
84–85 275
86–87 254
88–89 235
90–91 185
92–93 192
94–95 155
96–97 163
98–99 125
100–101 105
102–103 105
104–105 112
106–107 88
108–109 68
110–111 69
112–113 65
114–115 79
116–117 61
118–119 44
120–121 37
122–123 40
124–125 33
126–127 26
128–129 34
130–131 35
132–133 25
134–135 27
136–137 17
138–139 16
140–141 20
142–143 20
144–145 15
146–147 9
148–149 9
150–151 16
152–153 11
154–155 9
156–157 3
158 3
159+ 98
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Overview

Federico Marini is affiliated with Sapienza University of Rome in Italy. Their research encompasses several fields notably including Chemistry, Biochemistry, Genetics and Molecular Biology, and Medicine. They have contributed extensively in subfields such as Analytical Chemistry, Molecular Biology, Biomedical Engineering, Biophysics, and Food Science.

Their publications focus prominently on topics including Spectroscopy and Chemometric Analyses, Advanced Chemical Sensor Technologies, Spectroscopy Techniques in Biomedical and Chemical Research, Metabolomics and Mass Spectrometry Studies, Meat and Animal Product Quality, Water Quality Monitoring and Analysis, and Fault Detection and Control Systems.

Marini's research outputs include papers such as:

  • "New data preprocessing trends based on ensemble of multiple preprocessing techniques," 2020, published in TrAC Trends in Analytical Chemistry
  • "Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment," 2020, published in Journal of Translational Medicine
  • "Deep learning for near-infrared spectral data modelling: Hypes and benefits," 2022, published in TrAC Trends in Analytical Chemistry
  • "Recent trends in multi-block data analysis in chemometrics for multi-source data integration," 2021, published in TrAC Trends in Analytical Chemistry
  • "Mitochondrial Signatures in Circulating Extracellular Vesicles of Older Adults with Parkinson's Disease: Results from the EXosomes in PArkiNson's Disease (EXPAND) Study," 2020, published in Journal of Clinical Medicine

Frequent co-authors collaborating with Federico Marini include Alessandra Biancolillo, Riccardo Calvani, Emanuele Marzetti, Anna Picca, and Jean-Michel Roger.

The majority of Marini's work appears in journals such as Applied Sciences, Chemometrics and Intelligent Laboratory Systems, Analytica Chimica Acta, TrAC Trends in Analytical Chemistry, and Talanta, reflecting a diverse but focused presence in analytical and chemometric sciences.

Best Publications

  • Particle swarm optimization (PSO). A tutorial

    Federico Marini;Beata Walczak

  • New data preprocessing trends based on ensemble of multiple preprocessing techniques

    Puneet Mishra;Alessandra Biancolillo;Jean Michel Roger;Federico Marini

  • Validation of chemometric models - a tutorial.

    Frank Westad;Federico Marini

  • Data-fusion for multiplatform characterization of an Italian craft beer aimed at its authentication.

    Alessandra Biancolillo;Remo Bucci;Antonio L. Magrì;Andrea D. Magrì

  • Artificial neural networks in foodstuff analyses: Trends and perspectives A review

    Federico Marini

  • Chemometric methods for spectroscopy-based pharmaceutical analysis

    Alessandra Biancolillo;Federico Marini

  • Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment.

    Andrea Botticelli;Andrea Botticelli;Pamela Vernocchi;Federico Marini;Andrea Quagliariello

  • Chemometrics in analytical chemistry—part II: modeling, validation, and applications

    Richard G. Brereton;Jeroen Jansen;João Lopes;Federico Marini

  • Chemometrics in analytical chemistry-part I: history, experimental design and data analysis tools.

    Richard G. Brereton;Jeroen Jansen;João Lopes;Federico Marini

  • Chemical authentication of extra virgin olive oil varieties by supervised chemometric procedures

    Unknown

  • Near infrared (NIR) spectroscopy-based classification for the authentication of Darjeeling black tea

    Unknown

  • Classification of oat and groat kernels using NIR hyperspectral imaging

    Silvia Serranti;Daniela Cesare;Federico Marini;Giuseppe Bonifazi

  • A rapid and non-invasive method for authenticating the origin of pistachio samples by NIR spectroscopy and chemometrics

    Raffaele Vitale;Marta Bevilacqua;Remo Bucci;Andrea D. Magrì

  • Tracing the origin of extra virgin olive oils by infrared spectroscopy and chemometrics: a case study.

    Marta Bevilacqua;Remo Bucci;Andrea D. Magrì;Antonio L. Magrì

  • Chemometric methods for classification and feature selection

    Unknown

  • Metabolomic Characterization of Italian Sweet Pepper (Capsicum annum L.) by Means of HRMAS-NMR Spectroscopy and Multivariate Analysis

    Mena Ritota;Federico Marini;Paolo Sequi;Massimiliano Valentini

  • Volatile fraction analysis by HS-SPME/GC-MS and chemometric modeling for traceability of apples cultivated in the Northeast Italy

    Vanessa Giannetti;Maurizio Boccacci Mariani;Paola Mannino;Federico Marini

  • Recent chemometrics advances for foodomics

    Marta Bevilacqua;Rasmus Bro;Federico Marini;Åsmund Rinnan

  • Chemometric Strategies for Spectroscopy-Based Food Authentication

    Unknown

  • NMR and chemometrics in tracing European olive oils: the case study of Ligurian samples.

    L. Mannina;F. Marini;M. Gobbino;A.P. Sobolev

  • Supervised pattern recognition applied to the discrimination of the floral origin of six types of Italian honey samples

    F. Marini;A.L. Magrı̀;F. Balestrieri;F. Fabretti

  • Quantification of blending of olive oils and edible vegetable oils by triacylglycerol fingerprint gas chromatography and chemometric tools.

    Cristina Ruiz-Samblás;Federico Marini;Luis Cuadros-Rodríguez;Antonio González-Casado

  • Correlation of PTR-MS spectral fingerprints with sensory characterisation of flavour and odour profile of “Trentingrana” cheese

    Franco Biasioli;Flavia Gasperi;Eugenio Aprea;Isabella Endrizzi

  • VSN: Variable sorting for normalization

    Gilles Rabatel;Federico Marini;Beata Walczak;Jean‐Michel Roger

  • Characterization of the effects of different roasting conditions on coffee samples of different geographical origins by HPLC-DAD, NIR and chemometrics

    Silvia De Luca;Martina De Filippis;Remo Bucci;Andrea D. Magrì

  • Saffron Samples of Different Origin: An NMR Study of Microwave-Assisted Extracts

    Anatoly P. Sobolev;Simone Carradori;Donatella Capitani;Silvia Vista

  • Comparison of three spectrophotometric methods for the determination of γ-oryzanol in rice bran oil

    Remo Bucci;Andrea D. Magrì;Antonio L. Magrì;Federico Marini

Frequent Co-Authors

Emanuele Marzetti
Emanuele Marzetti Agostino Gemelli University Polyclinic
Roberto Bernabei
Roberto Bernabei Catholic University of the Sacred Heart
Francesco Landi
Francesco Landi Agostino Gemelli University Polyclinic
Beata Walczak
Beata Walczak University of Silesia
Luigi Campanella
Luigi Campanella Sapienza University of Rome
Matteo Cesari
Matteo Cesari University of Milan
Franco Biasioli
Franco Biasioli Fondazione Edmund Mach
Luisa Mannina
Luisa Mannina Sapienza University of Rome
Lorenza Putignani
Lorenza Putignani Saint Camillus International University of Health and Medical Sciences
Tilmann D. Märk
Tilmann D. Märk University of Innsbruck

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