Silvio Amir

1.3k total citations · 1 hit paper
17 papers, 539 citations indexed

About

Silvio Amir is a scholar working on Artificial Intelligence, Social Psychology and Molecular Biology. According to data from OpenAlex, Silvio Amir has authored 17 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Social Psychology and 1 paper in Molecular Biology. Recurrent topics in Silvio Amir's work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (8 papers). Silvio Amir is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (8 papers). Silvio Amir collaborates with scholars based in Portugal, United States and Mexico. Silvio Amir's co-authors include Isabel Trancoso, Ling Wang, Alan W. Black, Chris Dyer, Luís Marujo, Tiago Luís, Byron Wallace, Chu‐Cheng Lin, Yulia Tsvetkov and Mário J. Silva and has published in prestigious journals such as PubMed, Proceedings of the International AAAI Conference on Web and Social Media and CLEF (Working Notes).

In The Last Decade

Silvio Amir

14 papers receiving 500 citations

Hit Papers

align trajectories

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.

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation

2015 299 citations Ling Wang, Chris Dyer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silvio Amir Portugal	8	486	62	50	35	20	17	539
Richard Wicentowski United States	13	732 1.5×	66 1.1×	50 1.0×	51 1.5×	26 1.3×	33	851
Yong Jiang China	10	445 0.9×	91 1.5×	38 0.8×	25 0.7×	36 1.8×	50	518
Ondřej Dušek Czechia	12	396 0.8×	66 1.1×	30 0.6×	33 0.9×	18 0.9×	62	443
Iris Hendrickx Netherlands	11	509 1.0×	26 0.4×	42 0.8×	50 1.4×	9 0.5×	57	609
Mihael Arčan Ireland	12	415 0.9×	50 0.8×	52 1.0×	18 0.5×	28 1.4×	52	434
Hongkui Yu China	4	356 0.7×	44 0.7×	104 2.1×	36 1.0×	8 0.4×	9	430
Ferran Plà Spain	11	342 0.7×	24 0.4×	40 0.8×	32 0.9×	21 1.1×	42	400
Ryan Lowe Canada	8	755 1.6×	140 2.3×	74 1.5×	12 0.3×	39 1.9×	12	813
Bobo Li China	11	282 0.6×	30 0.5×	20 0.4×	14 0.4×	37 1.9×	37	346

Countries citing papers authored by Silvio Amir

Since Specialization

Citations

This map shows the geographic impact of Silvio Amir'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 Silvio Amir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvio Amir more than expected).

Fields of papers citing papers by Silvio Amir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvio Amir. 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 Silvio Amir. The network helps show where Silvio Amir may publish in the future.

Co-authorship network of co-authors of Silvio Amir

This figure shows the co-authorship network connecting the top 25 collaborators of Silvio Amir. A scholar is included among the top collaborators of Silvio Amir 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 Silvio Amir. Silvio Amir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

1.

Amir, Silvio, et al.. (2025). Who Taught You That? Tracing Teachers in Model Distillation. 3307–3315.

2.

Feldman, Sergey, et al.. (2024). On-the-fly Definition Augmentation of LLMs for Biomedical NER. 3833–3854.

3.

Wallace, Byron, et al.. (2024). Open (Clinical) LLMs are Sensitive to Instruction Phrasings. 50–71. 1 indexed citations

4.

Wallace, Byron, et al.. (2023). SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts. 2266–2274. 6 indexed citations

5.

Schoene, Annika Marie, et al.. (2023). An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection. Proceedings of the International AAAI Conference on Web and Social Media. 17. 1158–1162. 2 indexed citations

6.

Amir, Silvio, et al.. (2023). RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. 809–827. 9 indexed citations

7.

Amir, Silvio, et al.. (2023). Revisiting Relation Extraction in the era of Large Language Models. PubMed. 2023. 15566–15589. 60 indexed citations

8.

Huang, Xiaolei, Lucie Flek, Franck Dernoncourt, et al.. (2022). UserNLP’22: 2022 International Workshop on User-centered Natural Language Processing. 1176–1177. 1 indexed citations

9.

Amir, Silvio, Mark Dredze, & John W. Ayers. (2019). Mental Health Surveillance over Social Media with Digital Cohorts. 114–120. 21 indexed citations

10.

Amir, Silvio, Ramón Fernández Astudillo, Ling Wang, Mário J. Silva, & Isabel Trancoso. (2016). INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words. 238–242. 2 indexed citations

11.

Wang, Ling, Chris Dyer, Alan W. Black, et al.. (2015). Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation. 1520–1530. 299 indexed citations breakdown →

12.

Astudillo, Ramón Fernández, Silvio Amir, Ling Wang, Mário J. Silva, & Isabel Trancoso. (2015). Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces. 1074–1084. 12 indexed citations

13.

Astudillo, Ramón Fernández, Silvio Amir, Ling Wang, et al.. (2015). INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces. 652–656. 7 indexed citations

14.

Amir, Silvio, Ramón Fernández Astudillo, Ling Wang, et al.. (2015). INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction. 613–618. 24 indexed citations

15.

Wang, Ling, Yulia Tsvetkov, Silvio Amir, et al.. (2015). Not All Contexts Are Created Equal: Better Word Representations with Variable Attention. 82 indexed citations

16.

Amir, Silvio, et al.. (2014). TUGAS: Exploiting unlabelled data for Twitter sentiment analysis. 673–677. 9 indexed citations

17.

Amir, Silvio, et al.. (2013). POPSTAR at RepLab 2013: Polarity for Reputation Classification.. CLEF (Working Notes). 4 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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