World's Best Scientists 2026 revealed!
Alessandro Moschitti

Alessandro Moschitti

D-Index & Metrics

Computer Science

D-Index
56
Citations
15424
World Ranking
4011
National Ranking
1914

Alessandro Moschitti 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 Alessandro Moschitti 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: 314 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Alessandro Moschitti 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 Alessandro Moschitti 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Alessandro Moschitti is affiliated with Amazon in the United States, contributing extensively to the field of computer science. Their research primarily focuses on artificial intelligence, with significant work in subfields such as information systems, computer vision and pattern recognition, transportation, and global and planetary change.

Their scholarly output encompasses a range of topics within computer science, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Expert finding and Q&A systems
  • Multimodal Machine Learning Applications
  • Software Engineering Research
  • Advanced Text Analysis Techniques
  • Speech Recognition and Synthesis

Among recent papers authored or co-authored by Alessandro Moschitti are the following:

  • TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Land Use Classification With Point of Interests and Structural Patterns, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Paragraph-based Transformer Pre-training for Multi-Sentence Inference, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection, 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection, 2022, arXiv (Cornell University)

Frequent collaborators in their research include Thuy Vu, Siddhant Garg, Luca Di Liello, Luca Soldaini, and Matteo Gabburo. This network of co-authorship reflects collaborative work across multiple publications.

The majority of Alessandro Moschitti's publications appear in several prominent venues, with multiple papers published in arXiv, illustrating ongoing work in preprints and open access research dissemination. Other venues of publication include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

The scope and depth of Alessandro Moschitti's work align closely with contemporary advancements in artificial intelligence, with a particular emphasis on natural language processing and machine learning approaches. Their contributions span a range of methodological and applied topics pertinent to knowledge extraction, document retrieval, and transformer-based learning models.

Best Publications

  • Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

    Alessandro Moschitti;Bo Pang;Walter Daelemans

  • Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

    Aliaksei Severyn;Alessandro Moschitti

  • Twitter Sentiment Analysis with Deep Convolutional Neural Networks

    Aliaksei Severyn;Alessandro Moschitti

  • CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes

    Sameer Pradhan;Alessandro Moschitti;Nianwen Xue;Olga Uryupina

  • Efficient convolution kernels for dependency and constituent syntactic trees

    Alessandro Moschitti

  • BART: A modular toolkit for coreference resolution

    Yannick Versley;Simone Paolo Ponzetto;Massimo Poesio;Vladimir Eidelman

  • Making Tree Kernels Practical for Natural Language Learning.

    Alessandro Moschitti

  • Towards Robust Linguistic Analysis using OntoNotes

    Sameer Pradhan;Sameer Pradhan;Alessandro Moschitti;Alessandro Moschitti;Nianwen Xue;Hwee Tou Ng

  • SemEval-2017 Task 3: Community Question Answering

    Preslav Nakov;Doris Hoogeveen;Lluís Màrquez;Alessandro Moschitti

  • A Study on Convolution Kernels for Shallow Statistic Parsing

    Alessandro Moschitti

  • Complex Linguistic Features for Text Classification: A Comprehensive Study

    Alessandro Moschitti;Roberto Basili

  • UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification

    Aliaksei Severyn;Alessandro Moschitti

  • Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification

    Alessandro Moschitti;Silvia Quarteroni;Roberto Basili;Suresh Manandhar

  • SemEval-2015 Task 3: Answer Selection in Community Question Answering

    Preslav Nakov;Llu'is Màrquez;Walid Magdy;Alessandro Moschitti

  • Tree kernels for semantic role labeling

    Alessandro Moschitti;Alessandro Moschitti;Alessandro Moschitti;Daniele Pighin;Daniele Pighin;Daniele Pighin;Roberto Basili;Roberto Basili;Roberto Basili

  • SemEval-2016 Task 3: Community Question Answering

    Preslav Nakov;Lluís Màrquez;Alessandro Moschitti;Walid Magdy

  • TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection

    Siddhant Garg;Thuy Vu;Alessandro Moschitti

  • Structured Lexical Similarity via Convolution Kernels on Dependency Trees

    Danilo Croce;Alessandro Moschitti;Roberto Basili

  • Automatic Feature Engineering for Answer Selection and Extraction

    Aliaksei Severyn;Alessandro Moschitti

  • Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

    Barbara Plank;Alessandro Moschitti

  • Semantic Role Labeling via FrameNet, VerbNet and PropBank

    Ana-Maria Giuglea;Alessandro Moschitti

Frequent Co-Authors

Roberto Basili
Roberto Basili University of Rome Tor Vergata
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Lluís Màrquez
Lluís Màrquez Amazon (United States)
Giuseppe Riccardi
Giuseppe Riccardi University of Trento
Alberto Barrón-Cedeño
Alberto Barrón-Cedeño University of Bologna
Shafiq Joty
Shafiq Joty Salesforce (United States)
Barbara Plank
Barbara Plank Ludwig-Maximilians-Universität München
Walid Magdy
Walid Magdy University of Edinburgh
Massimo Poesio
Massimo Poesio Queen Mary University of London

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