Ricardo Campos

1.9k citations
39 papers · 654 indexed · 1 hit paper · h-index 10

Ricardo Campos

35 papers receiving 621 citations

Hit Papers

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Peers

Ricardo Campos
Comparison fields: 5 of 84
  • Artificial Intelligence 491
  • Signal Processing 101
  • Information Systems 208
  • Management Science and Operations Research 42
  • General Social Sciences 11
Replace Jyun‐Yu Jiang with:
Jyun‐Yu Jiang United States
Graham Katz United States
Nattiya Kanhabua Germany
Viviane P. Moreira Brazil
Changxuan Wan China
Christian Kohlschütter Germany
Mirna Adriani Indonesia
Jannik Strötgen Germany
François Yvon France
Mauro Dragoni Italy
Ricardo Campos relative to Jyun‐Yu Jiang United States Jyun‐Yu Jiang's profile →
Citations per field
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Citations per year

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

The 25 scholars most cited alongside Ricardo Campos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ricardo Campos Line = papers co-authored together Ricardo Campos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20247
3 202315
4 20230
5 20232
6 20232
7 20233
8 20231
9 20212
10
Brat2Viz: a tool and pipeline for visualizing narratives from annotated texts
20211
11 202020
12 20200
13 20201
14 20193
15 20175
16 20177
17 201713
18
Towards Reliable Recurrent Disaster Forecasting Methods: Peruvian Earthquake Case.
20161
19
Automatic Hierarchical Clustering of Web Pages
20052
20 200013

About Ricardo Campos

Ricardo Campos is a scholar working on Signal Processing, Health Informatics and Artificial Intelligence, having authored 39 papers that have together received 654 indexed citations. Recurring topics across this work include Data Management and Algorithms (16 papers), Web Data Mining and Analysis (14 papers), Topic Modeling (12 papers), Advanced Text Analysis Techniques (10 papers), Natural Language Processing Techniques (8 papers), Information Retrieval and Search Behavior (6 papers), Advanced Database Systems and Queries (5 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Artificial Intelligence (491 citations), Signal Processing (101 citations) and Information Systems (208 citations). Ricardo Campos has collaborated with scholars based in Portugal, Japan and Iran. Frequent co-authors include Alí­pio Jorge, Adam Jatowt, Célia Nunes, Arian Pasquali, Vítor Mangaravite, Gaël Dias, Masoud Asadpour, Sérgio Nunes, Maseud Rahgozar and Leon Derczynski. Their work appears in journals such as ACM Computing Surveys, Information Sciences and Knowledge-Based Systems.

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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