Alvaro Graves

668 total citations
20 papers, 402 citations indexed

About

Alvaro Graves is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Alvaro Graves has authored 20 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Management Science and Operations Research. Recurrent topics in Alvaro Graves's work include Semantic Web and Ontologies (9 papers), Data Visualization and Analytics (7 papers) and Data Quality and Management (6 papers). Alvaro Graves is often cited by papers focused on Semantic Web and Ontologies (9 papers), Data Visualization and Analytics (7 papers) and Data Quality and Management (6 papers). Alvaro Graves collaborates with scholars based in United States, Chile and United Kingdom. Alvaro Graves's co-authors include James Hendler, Dominic DiFranzo, James Michaelis, Li Ding, Deborah L. McGuinness, Timothy Lebo, Gregory Todd Williams, Jin Zheng, John Erickson and Xian Li and has published in prestigious journals such as Future Generation Computer Systems, Journal of Web Semantics and Information Polity.

In The Last Decade

Alvaro Graves

20 papers receiving 378 citations

Peers

Alvaro Graves

AI

MSOR

PSIR

IS

CNC

Bernadette Farias Lóscio Brazil

José María Álvarez-Rodríguez Spain

Timothy Lebo United States

Jeni Tennison United Kingdom

Thomas Baker United States

Enrico Francesconi Italy

Babak Akhgar United Kingdom

Boris Villazón-Terrazas Spain

Claudio Schifanella Italy

Victor Rodrı́guez-Doncel Spain

Bernadette Farias Lóscio Brazil

Alvaro Graves

111 ×0.5

AI

149 ×0.9

MSOR

58 ×0.5

PSIR

118 ×1.2

IS

58 ×1.1

CNC

Citations per year, relative to Alvaro Graves Alvaro Graves (= 1×) peers Bernadette Farias Lóscio

Countries citing papers authored by Alvaro Graves

Since Specialization

Citations

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

Fields of papers citing papers by Alvaro Graves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alvaro Graves

This figure shows the co-authorship network connecting the top 25 collaborators of Alvaro Graves. A scholar is included among the top collaborators of Alvaro Graves 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 Alvaro Graves. Alvaro Graves 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

1.

Graves, Alvaro. (2015). Techniques to reduce cluttering of RDF visualizations. Future Generation Computer Systems. 53. 152–156. 5 indexed citations

2.

Graves, Alvaro, et al.. (2015). Co-creating visual overviews for open government data. 37–42. 4 indexed citations

3.

Graves, Alvaro, et al.. (2015). Adkintun Mobile: Towards using personal and device context in assessing mobile QoS. 49–54. 4 indexed citations

4.

Graves, Alvaro. (2015). Collaborative information on public safety: Potentials and challenges. 1 indexed citations

5.

Graves, Alvaro & James Hendler. (2014). A study on the use of visualizations for Open Government Data. Information Polity. 19(1,2). 73–91. 26 indexed citations

6.

Graves, Alvaro, et al.. (2014). Towards Visual Overviews for Open Government Data.. 3 indexed citations

7.

Graves, Alvaro, et al.. (2014). Applying Process Mining Techniques to DNS Traces Analysis. 12–16. 5 indexed citations

8.

Graves, Alvaro. (2013). Creation of visualizations based on linked data. 1–12. 18 indexed citations

9.

Lebo, Timothy, Alvaro Graves, & Deborah L. McGuinness. (2013). Content-preserving graphics. 111–122. 1 indexed citations

10.

Graves, Alvaro & James Hendler. (2013). Visualization tools for open government data. 136–145. 45 indexed citations

11.

DiFranzo, Dominic & Alvaro Graves. (2011). A farm in every window. 1–8. 7 indexed citations

12.

Graves, Alvaro. (2011). A case study for integrating public safety data using semantic technologies. Information Polity. 16(3). 261–275. 11 indexed citations

13.

Ding, Li, Timothy Lebo, John Erickson, et al.. (2011). TWC LOGD: A Portal for Linked Open Government Data Ecosystems. SSRN Electronic Journal. 85 indexed citations

14.

Ding, Li, Timothy Lebo, John Erickson, et al.. (2011). TWC LOGD: A portal for linked open government data ecosystems. Journal of Web Semantics. 9(3). 325–333. 94 indexed citations

15.

Ding, Li, Dominic DiFranzo, Alvaro Graves, et al.. (2010). Data-gov Wiki: Towards Linking Government Data.. National Conference on Artificial Intelligence. 48 indexed citations

16.

Ding, Li, Dominic DiFranzo, Alvaro Graves, et al.. (2010). TWC data-gov corpus. 1383–1386. 23 indexed citations

17.

Graves, Alvaro & Sibel Adalı. (2009). A method to rank nodes in an RDF graph. 15 indexed citations

18.

Graves, Alvaro & Claudio Gutiérrez. (2006). Data Representations for WordNet: A Case for RDF. 5 indexed citations

19.

Graves, Alvaro, Danny Sheath, D.M. Rowe, & M. V. Sykes. (2006). Constructing the Best Government Client. 1 indexed citations

20.

Harland, Christine, Alvaro Graves, Louise Knight, & Richard Lamming. (2002). The future of public sector supply:developing a research agenda. Aston Publications Explorer (Aston University). 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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