Thomas Manzini

693 total citations · 1 hit paper
14 papers, 364 citations indexed

About

Thomas Manzini is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Thomas Manzini has authored 14 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Thomas Manzini's work include Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers) and Robotics and Sensor-Based Localization (3 papers). Thomas Manzini is often cited by papers focused on Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers) and Robotics and Sensor-Based Localization (3 papers). Thomas Manzini collaborates with scholars based in United States and United Kingdom. Thomas Manzini's co-authors include Barnabás Póczos, Paul Pu Liang, Hai Pham, Louis–Philippe Morency, Robin R. Murphy, Sumeet Singh, Alan W. Black, Khyathi Raghavi Chandu, Caleb Robinson and Matthias Grabmair and has published in prestigious journals such as Science Robotics and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Thomas Manzini

11 papers receiving 352 citations

Hit Papers

Found in Translation: Learning Robust Joint Representatio... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities
    2019 272 citations Hai Pham, Paul Pu Liang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Manzini United States 5 282 115 114 80 25 14 364
Hai Pham United States 8 283 1.0× 125 1.1× 227 2.0× 135 1.7× 32 1.3× 13 462
Zhaojie Luo Japan 10 187 0.7× 86 0.7× 95 0.8× 137 1.7× 9 0.4× 27 316
Thomas Pellegrini France 11 240 0.9× 58 0.5× 54 0.5× 159 2.0× 9 0.4× 49 370
Yushi Aono Japan 11 271 1.0× 73 0.6× 42 0.4× 144 1.8× 12 0.5× 43 338
Simon Dobrišek Slovenia 11 152 0.5× 61 0.5× 205 1.8× 130 1.6× 17 0.7× 50 392
R. Bakis United States 13 443 1.6× 95 0.8× 95 0.8× 299 3.7× 15 0.6× 29 561
France Mihelič Slovenia 11 195 0.7× 98 0.9× 103 0.9× 141 1.8× 38 1.5× 36 347
Kaipeng Zhang China 12 84 0.3× 103 0.9× 305 2.7× 71 0.9× 13 0.5× 25 398

Countries citing papers authored by Thomas Manzini

Since Specialization
Citations

This map shows the geographic impact of Thomas Manzini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Manzini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Manzini more than expected).

Fields of papers citing papers by Thomas Manzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Manzini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Manzini. The network helps show where Thomas Manzini may publish in the future.

Co-authorship network of co-authors of Thomas Manzini

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Manzini. A scholar is included among the top collaborators of Thomas Manzini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Manzini. Thomas Manzini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Manzini, Thomas & Robin R. Murphy. (2024). Differentiable Boustrophedon Paths That Enable Optimization Via Gradient Descent. 8778–8783.
3.
Murphy, Robin R., Thomas Manzini, & S. Camille Peres. (2024). Analysis of Human Errors in Small Uncrewed Aerial Systems Used During Hurricane Ian. 64–71. 1 indexed citations
4.
5.
Manzini, Thomas, et al.. (2023). Quantitative Data Analysis: CRASAR Small Unmanned Aerial Systems at Hurricane Ian. 7–12. 3 indexed citations
6.
Manzini, Thomas, et al.. (2023). Harnessing AI and robotics in humanitarian assistance and disaster response. Science Robotics. 8(80). eadj2767–eadj2767. 3 indexed citations
7.
Manzini, Thomas, et al.. (2023). Wireless Network Demands of Data Products from Small Uncrewed Aerial Systems at Hurricane Ian. 9941–9946. 4 indexed citations
8.
Manzini, Thomas & Robin R. Murphy. (2023). Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad. 3786–3791. 7 indexed citations
9.
Smith, Trey, et al.. (2022). Path Coverage Optimization for USV with Side Scan Sonar for Victim Recovery. 160–165. 4 indexed citations
10.
Pham, Hai, Paul Pu Liang, Thomas Manzini, Louis–Philippe Morency, & Barnabás Póczos. (2019). Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6892–6899. 272 indexed citations breakdown →
11.
Pham, Hai, Thomas Manzini, Paul Pu Liang, & Barnabás Póczos. (2018). Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis. 53–63. 51 indexed citations
12.
Chandu, Khyathi Raghavi, Thomas Manzini, Sumeet Singh, & Alan W. Black. (2018). Language Informed Modeling of Code-Switched Text. 92–97. 11 indexed citations
13.
Ravichander, Abhilasha, Thomas Manzini, Matthias Grabmair, et al.. (2017). How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing. 374–383. 7 indexed citations
14.
Manzini, Thomas, Simon Ellis, & James Hendler. (2015). A Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles. 6(1). 111–129. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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