World's Best Scientists 2026 revealed!
Christian Conoscenti

Christian Conoscenti

D-Index & Metrics

Earth Science

D-Index
33
Citations
4164
World Ranking
8357
National Ranking
323

Christian Conoscenti publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Christian Conoscenti sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

This scientist: 103 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 510 publications or more.

Christian Conoscenti D-index placement in Earth Science in 2026

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

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

This scientist: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 94 D-Index or more.

Overview

Christian Conoscenti is affiliated with the University of Palermo in Italy and has a focus on environmental science, particularly within the fields of soil science, management, monitoring, policy and law, global and planetary change, ecology, and water science and technology. Their research spans a significant body of work related to soil erosion and sediment transport, landslides and related hazards, flood risk assessment and management, hydrology and sediment transport processes, hydrology and watershed management studies, fire effects on ecosystems, and tree root and stability studies.

The scientist has contributed to several recent publications, including:

  • Predicting gully occurrence at watershed scale: Comparing topographic indices and multivariate statistical models, 2020, Geomorphology
  • Optimal slope units partitioning in landslide susceptibility mapping, 2020, Journal of Maps
  • Measuring, modelling and managing gully erosion at large scales: A state of the art, 2021, Earth-Science Reviews
  • Evaluation of multi-hazard map produced using MaxEnt machine learning technique, 2021, Scientific Reports
  • Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates, 2021, CATENA

Frequent publication venues for Christian Conoscenti include:

  • CATENA
  • Geomorphology
  • Remote Sensing
  • Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA
  • Earth-Science Reviews

They regularly collaborate with co-authors including Edoardo Rotigliano, Chiara Martinello, Chiara Cappadonia, Claudio Mercurio, and Laura Paola Calderón-Cucunuba.

The areas of focus reflected in their work highlight a multidisciplinary approach that addresses environmental challenges through the integration of soil science, hydrology, risk assessment, and ecosystem studies. Their studies involve both empirical measurement and modelling to understand and manage soil erosion, landslides, and other geomorphological and hydrological processes.

Christian Conoscenti's research contributes to the understanding of natural hazard mapping and susceptibility, using various techniques including machine learning and statistical models. This underscores a methodological diversity aimed at improving predictive capacities and management strategies related to environmental hazards.

Best Publications

  • Gully erosion susceptibility assessment by means of GIS-based logistic regression: a case of Sicily (Italy)

    Christian Conoscenti;Silvia Angileri;Chiara Cappadonia;Edoardo Rotigliano

  • A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran

    Alireza Arabameri;Khalil Rezaei;Artemi Cerdà;Christian Conoscenti

  • Measuring, modelling and managing gully erosion at large scales: A state of the art

    Matthias Vanmaercke;Matthias Vanmaercke;Panos Panagos;Tom Vanwalleghem;Antonio Hayas

  • Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy)

    L. Lombardo;L. Lombardo;M. Cama;C. Conoscenti;M. Märker;M. Märker

  • Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion.

    Younes Garosi;Mohsen Sheklabadi;Christian Conoscenti;Hamid Reza Pourghasemi

  • Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations

    Álvaro Gómez-Gutiérrez;Christian Conoscenti;Silvia Eleonora Angileri;Edoardo Rotigliano

  • Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping

    Younes Garosi;Mohsen Sheklabadi;Hamid Reza Pourghasemi;Ali Asghar Besalatpour

  • GIS analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy)

    Christian Conoscenti;Cipriano Di Maggio;Edoardo Rotigliano

  • Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice River basin (western Sicily, Italy)

    Christian Conoscenti;Marilena Ciaccio;Nathalie Almaru Caraballo-Arias;Álvaro Gómez-Gutiérrez

  • A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, Italy

    Christian Conoscenti;Valerio Agnesi;Silvia Angileri;Chiara Cappadonia

  • Exploring the effect of absence selection on landslide susceptibility models: A case study in Sicily, Italy

    Christian Conoscenti;Edoardo Rotigliano;Mariaelena Cama;Nathalie Almaru Caraballo-Arias

  • Evaluation of multi-hazard map produced using MaxEnt machine learning technique

    Narges Javidan;Ataollah Kavian;Hamid Reza Pourghasemi;Christian Conoscenti

  • Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy)

    M. Cama;C. Conoscenti;L. Lombardo;L. Lombardo;E. Rotigliano

  • Soil erosion susceptibility assessment and validation using a geostatistical multivariate approach: a test in Southern Sicily

    Christian Conoscenti;Cipriano Di Maggio;Edoardo Rotigliano

  • Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy)

    M. Cama;M. Cama;Luigi Lombardo;Luigi Lombardo;C. Conoscenti;E. Rotigliano

  • PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches.

    Omid Rahmati;Aiding Kornejady;Mahmood Samadi;Ravinesh C. Deo

  • Water erosion susceptibility mapping by applying Stochastic Gradient Treeboost to the Imera Meridionale River Basin (Sicily, Italy)

    Silvia Eleonora Angileri;Christian Conoscenti;Volker Hochschild;Michael Märker;Michael Märker

  • Forward logistic regression for earth-flow landslide susceptibility assessment in the Platani river basin (southern Sicily, Italy)

    Dario Costanzo;José Chacón;Christian Conoscenti;Clemente Irigaray

  • Assessment of Gully Erosion Susceptibility Using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity

    Christian Conoscenti;Valerio Agnesi;Mariaelena Cama;Nathalie Alamaru Caraballo-Arias

  • A multidisciplinary approach to the evaluation of the mechanism that triggered the Cerda landslide (Sicily, Italy)

    Valerio Agnesi;Marco Camarda;Christian Conoscenti;Cipriano Di Maggio

Frequent Co-Authors

Luigi Lombardo
Luigi Lombardo University of Twente
Vito Ferro
Vito Ferro University of Palermo
Hamid Reza Pourghasemi
Hamid Reza Pourghasemi Shiraz University
Kristof Van Oost
Kristof Van Oost Université Catholique de Louvain
Jean Poesen
Jean Poesen KU Leuven
Artemi Cerdà
Artemi Cerdà University of Valencia
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Pasquale Borrelli
Pasquale Borrelli Roma Tre University
Omid Rahmati
Omid Rahmati Agricultural Research Education And Extention Organization

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