Federico Nanni

1.4k total citations · 1 hit paper
43 papers, 636 citations indexed

About

Federico Nanni is a scholar working on Artificial Intelligence, General Social Sciences and Information Systems. According to data from OpenAlex, Federico Nanni has authored 43 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 12 papers in General Social Sciences and 10 papers in Information Systems. Recurrent topics in Federico Nanni's work include Topic Modeling (25 papers), Computational and Text Analysis Methods (12 papers) and Natural Language Processing Techniques (10 papers). Federico Nanni is often cited by papers focused on Topic Modeling (25 papers), Computational and Text Analysis Methods (12 papers) and Natural Language Processing Techniques (10 papers). Federico Nanni collaborates with scholars based in Germany, United Kingdom and United States. Federico Nanni's co-authors include Simone Paolo Ponzetto, Máté Pálfy, Jessica Polka, G.K. Dey, Jonathon Alexis Coates, Liam Brierley, Nicholas Fraser, Goran Glavaš, Laura Dietz and Kasra Hosseini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS Biology and Frontiers in Human Neuroscience.

In The Last Decade

Federico Nanni

41 papers receiving 597 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.

The evolving role of preprints in the dissemination of COVID-19 research and their impact on the science communication landscape

2021 239 citations Nicholas Fraser, Liam Brierley et al. PLoS Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Federico Nanni Germany	12	234	180	142	102	96	43	636
Dario Taraborelli United States	11	155 0.7×	72 0.4×	256 1.8×	242 2.4×	117 1.2×	25	746
Sumeer Gul India	14	88 0.4×	71 0.4×	105 0.7×	143 1.4×	123 1.3×	63	513
Wei Jeng United States	16	157 0.7×	159 0.9×	57 0.4×	350 3.4×	194 2.0×	52	700
Kristi Holmes United States	11	99 0.4×	90 0.5×	117 0.8×	91 0.9×	61 0.6×	43	699
Katrin Weller Germany	11	143 0.6×	40 0.2×	38 0.3×	111 1.1×	289 3.0×	39	638
Peter Kraker Austria	10	45 0.2×	116 0.6×	143 1.0×	186 1.8×	41 0.4×	39	393
Jeffrey Brainard	12	47 0.2×	105 0.6×	137 1.0×	55 0.5×	53 0.6×	81	573
Ryan Chute United States	4	51 0.2×	80 0.4×	306 2.2×	158 1.5×	64 0.7×	5	591
Carole L. Palmer United States	14	166 0.7×	192 1.1×	63 0.4×	335 3.3×	82 0.9×	34	776
Mohammad Hosseini United States	13	173 0.7×	90 0.5×	109 0.8×	47 0.5×	33 0.3×	47	709

Countries citing papers authored by Federico Nanni

Since Specialization

Citations

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

Fields of papers citing papers by Federico Nanni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Nanni

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Nanni, Federico, et al.. (2023). Creation and evaluation of timelines for longitudinal user posts. 3791–3804. 1 indexed citations

2.

Zirikly, Ayah, Dana Atzil–Slonim, Federico Nanni, et al.. (2022). Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts. 184–198. 17 indexed citations

3.

Beelen, Kaspar, et al.. (2022). A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers. SHILAP Revista de lepidopterología. 8. 6 indexed citations

4.

Nanni, Federico, et al.. (2022). Identifying Moments of Change from Longitudinal User Text. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4647–4660. 18 indexed citations

5.

Marinov, Nikolay, et al.. (2022). SASCAT: Natural language processing approach to the study of economic sanctions. Journal of Peace Research. 60(5). 877–885. 1 indexed citations

6.

Brierley, Liam, Federico Nanni, Jessica Polka, et al.. (2022). Tracking changes between preprint posting and journal publication during a pandemic. PLoS Biology. 20(2). e3001285–e3001285. 54 indexed citations

7.

Nanni, Federico, Kaspar Beelen, Kasra Hosseini, et al.. (2021). Living Machines: A study of atypical animacy. Apollo (University of Cambridge). 10 indexed citations

8.

Fraser, Nicholas, Liam Brierley, G.K. Dey, et al.. (2021). The evolving role of preprints in the dissemination of COVID-19 research and their impact on the science communication landscape. PLoS Biology. 19(4). e3000959–e3000959. 239 indexed citations breakdown →

9.

Nanni, Federico, Goran Glavaš, Ines Rehbein, Simone Paolo Ponzetto, & Heiner Stuckenschmidt. (2021). Political Text Scaling Meets Computational Semantics. MADOC (University of Mannheim). 2(4). 1–27. 4 indexed citations

10.

Marinov, Nikolay, et al.. (2020). Why Do States Intervene in the Elections of Others? The Role of Incumbent–Opposition Divisions. British Journal of Political Science. 52(1). 85–106. 6 indexed citations

11.

Nanni, Federico, Yang Zhao, Simone Paolo Ponzetto, & Laura Dietz. (2017). Enhancing Domain-Specific Entity Linking in DH.. MADOC (University of Mannheim). 3 indexed citations

12.

Nanni, Federico. (2017). Reconstructing a website’s lost past Methodological issues concerning the history of Unibo.it. Digital humanities quarterly. 11(2). 5 indexed citations

13.

Nanni, Federico, et al.. (2017). Structure Function Revisited: A Simple Tool for Complex Analysis of Neuronal Activity. Frontiers in Human Neuroscience. 11. 409–409. 4 indexed citations

14.

Brügger, Niels, Elisabetta Locatelli, Matthew S. Weber, & Federico Nanni. (2017). Web 25: histories from the first 25 years of the World Wide Web. 1–19. 27 indexed citations

15.

Nanni, Federico, et al.. (2017). Benchmark for Complex Answer Retrieval. MADOC (University of Mannheim). 293–296. 11 indexed citations

16.

Lauscher, Anne, Pablo Ruiz Fabo, Federico Nanni, & Simone Paolo Ponzetto. (2016). Entities as Topic Labels: Combining Entity Linking and Labeled LDA to Improve Topic Interpretability and Evaluability. SHILAP Revista de lepidopterología. 2(2). 67–87. 2 indexed citations

17.

Nanni, Federico, et al.. (2016). Web Historiography - A New Challenge for Digital Humanities?. 74–76.

18.

Nanni, Federico, Simone Paolo Ponzetto, & Laura Dietz. (2016). Entity relatedness for retrospective analyses of global events. MADOC (University of Mannheim). 3 indexed citations

19.

Glavaš, Goran, et al.. (2016). Classifying topics and detecting topic shifts in political manifestos. MADOC (University of Mannheim). 16 indexed citations

20.

Glavaš, Goran, Federico Nanni, & Simone Paolo Ponzetto. (2016). Unsupervised Text Segmentation Using Semantic Relatedness Graphs. 125–130. 47 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.

Explore authors with similar magnitude of impact