Ricardo Campos

1.9k total citations · 1 hit paper
39 papers, 654 citations indexed

About

Ricardo Campos is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Ricardo Campos has authored 39 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Information Systems and 16 papers in Signal Processing. Recurrent topics in Ricardo Campos's work include Data Management and Algorithms (16 papers), Web Data Mining and Analysis (14 papers) and Topic Modeling (12 papers). Ricardo Campos is often cited by papers focused on Data Management and Algorithms (16 papers), Web Data Mining and Analysis (14 papers) and Topic Modeling (12 papers). Ricardo Campos collaborates with scholars based in Portugal, Japan and Iran. Ricardo Campos's co-authors include Alípio Jorge, Adam Jatowt, Célia Nunes, Vítor Mangaravite, Arian Pasquali, Gaël Dias, Masoud Asadpour, Maseud Rahgozar, Sérgio Nunes and Jannik Strötgen and has published in prestigious journals such as ACM Computing Surveys, Information Sciences and Knowledge-Based Systems.

In The Last Decade

Ricardo Campos

35 papers receiving 621 citations

Hit Papers

align trajectories sort by overperformance

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.

YAKE! Keyword extraction from single documents using multiple local features

2019 339 citations Ricardo Campos, Vítor Mangaravite et al. Information Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ricardo Campos Portugal	10	491	208	101	64	51	39	654
Jyun‐Yu Jiang United States	14	389 0.8×	215 1.0×	93 0.9×	88 1.4×	39 0.8×	49	665
Nattiya Kanhabua Germany	15	301 0.6×	201 1.0×	55 0.5×	76 1.2×	32 0.6×	44	493
Thanh Tran Germany	11	243 0.5×	206 1.0×	80 0.8×	30 0.5×	113 2.2×	27	378
Andrés García-Silva Spain	6	586 1.2×	224 1.1×	43 0.4×	47 0.7×	37 0.7×	20	682
Viviane P. Moreira Brazil	14	417 0.8×	153 0.7×	44 0.4×	42 0.7×	41 0.8×	59	564
Alexander Kotov United States	14	463 0.9×	319 1.5×	53 0.5×	72 1.1×	50 1.0×	45	722
Micheline Beaulieu United Kingdom	11	329 0.7×	366 1.8×	55 0.5×	90 1.4×	29 0.6×	20	586
Frank Schilder United States	15	762 1.6×	111 0.5×	83 0.8×	25 0.4×	73 1.4×	53	912
Víctor Fresno Spain	13	415 0.8×	204 1.0×	36 0.4×	53 0.8×	43 0.8×	62	600
Manuel Palomar Spain	18	868 1.8×	187 0.9×	45 0.4×	36 0.6×	58 1.1×	90	997

Countries citing papers authored by Ricardo Campos

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Campos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Campos

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

All Works

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20 of 20 papers shown

Campos, Ricardo, Alípio Jorge, Adam Jatowt, et al.. (2024). Report on the 7th International Workshop on Narrative Extraction from Texts (Text2Story 2024) at ECIR 2024. ACM SIGIR Forum. 58(1). 1–11.

Campos, Ricardo, et al.. (2024). Keywords attention for fake news detection using few positive labels. Information Sciences. 663. 120300–120300. 7 indexed citations

Campos, Ricardo, et al.. (2023). A survey on narrative extraction from textual data. Artificial Intelligence Review. 56(8). 8393–8435. 15 indexed citations

Jatowt, Adam, et al.. (2023). Is this news article still relevant? Ranking by contemporary relevance in archival search. International Journal on Digital Libraries. 25(2). 197–216.

Litvak, Marina, et al.. (2023). The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT'23). 3479–3482. 2 indexed citations

Campos, Ricardo, et al.. (2023). Contrastive text summarization: a survey. International Journal of Data Science and Analytics. 18(4). 353–367. 2 indexed citations

Campos, Ricardo, et al.. (2023). Pre‐trained language models: What do they know?. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 14(1). 3 indexed citations

Sato, Mari, et al.. (2021). Estimating Contemporary Relevance of Past News. 70–79. 2 indexed citations

Jorge, Alípio, et al.. (2021). Brat2Viz: a tool and pipeline for visualizing narratives from annotated texts. Open Repository of the University of Porto (University of Porto). 49–56. 1 indexed citations

10.

Asadpour, Masoud, et al.. (2020). Joint event extraction along shortest dependency paths using graph convolutional networks. Knowledge-Based Systems. 210. 106492–106492. 20 indexed citations

11.

Nunes, Sérgio, Suzanne Little, Sumit Bhatia, et al.. (2020). ECIR 2020 workshops. ACM SIGIR Forum. 54(1). 1–11.

12.

Jorge, Alípio, Ricardo Campos, Adam Jatowt, & Sérgio Nunes. (2019). Information Processing & Management Journal Special Issue on Narrative Extraction from Texts (Text2Story). Information Processing & Management. 56(5). 1771–1774. 3 indexed citations

13.

Campos, Ricardo, Vítor Mangaravite, Arian Pasquali, et al.. (2019). YAKE! Keyword extraction from single documents using multiple local features. Information Sciences. 509. 257–289. 339 indexed citations breakdown →

14.

Campos, Ricardo, et al.. (2018). Online Job Search. 1185–1188. 15 indexed citations

15.

Rahgozar, Maseud, et al.. (2017). Learning Temporal Ambiguity in Web Search Queries. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2191–2194. 5 indexed citations

16.

Campos, Ricardo, Gaël Dias, Alípio Jorge, & Célia Nunes. (2017). Identifying top relevant dates for implicit time sensitive queries. Information Retrieval. 20(4). 363–398. 13 indexed citations

17.

Campos, Ricardo, et al.. (2016). Towards Reliable Recurrent Disaster Forecasting Methods: Peruvian Earthquake Case.. ISCRAM. 1 indexed citations

18.

Derczynski, Leon, Jannik Strötgen, Ricardo Campos, & Omar Alonso. (2015). Time and information retrieval: Introduction to the special issue. Information Processing & Management. 51(6). 786–790. 8 indexed citations

19.

Campos, Ricardo & Gaël Dias. (2005). Automatic Hierarchical Clustering of Web Pages. 2 indexed citations

20.

Manuel, Carlos, Joan de Pablo, Ricardo Campos, et al.. (2000). El proyecto multinacional europeo y multicéntrico español de mejora de calidad asistencial en psiquiatría de enlace en el hospital general: el perfil clínico en España. Medicina Clínica. 115(18). 690–694. 13 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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