Roland Fernandez

796 total citations
10 papers, 497 citations indexed

About

Roland Fernandez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Roland Fernandez has authored 10 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Information Systems and Management. Recurrent topics in Roland Fernandez's work include Data Visualization and Analytics (5 papers), Data Analysis with R (2 papers) and Usability and User Interface Design (2 papers). Roland Fernandez is often cited by papers focused on Data Visualization and Analytics (5 papers), Data Analysis with R (2 papers) and Usability and User Interface Design (2 papers). Roland Fernandez collaborates with scholars based in United States, United Kingdom and France. Roland Fernandez's co-authors include G. Robertson, Danyel Fisher, John Stasko, Benjamin Lee, Steven M. Drucker, Niklas Elmqvist, Deokgun Park, Paul Smolensky, Jianfeng Gao and Kori Inkpen and has published in prestigious journals such as Journal of Clinical Investigation, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Roland Fernandez

10 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roland Fernandez United States	8	342	125	70	64	54	10	497
Danielle Albers United States	6	467 1.4×	169 1.4×	44 0.6×	89 1.4×	48 0.9×	7	581
H. Lam Canada	4	472 1.4×	156 1.2×	105 1.5×	51 0.8×	34 0.6×	5	540
Purvi Saraiya United States	10	464 1.4×	161 1.3×	80 1.1×	53 0.8×	68 1.3×	13	657
Waqas Javed United States	11	527 1.5×	129 1.0×	89 1.3×	135 2.1×	48 0.9×	13	641
Heidi Lam Canada	10	370 1.1×	121 1.0×	98 1.4×	92 1.4×	22 0.4×	17	508
Nicholas Kong United States	7	455 1.3×	176 1.4×	63 0.9×	98 1.5×	16 0.3×	12	565
Khairi Reda United States	12	281 0.8×	78 0.6×	39 0.6×	27 0.4×	36 0.7×	35	438
Tera Marie Green Canada	8	272 0.8×	118 0.9×	34 0.5×	33 0.5×	17 0.3×	12	352
Jon Meyer United States	7	249 0.7×	101 0.8×	67 1.0×	60 0.9×	26 0.5×	9	506
Başak Alper United States	6	248 0.7×	65 0.5×	23 0.3×	64 1.0×	55 1.0×	8	296

Countries citing papers authored by Roland Fernandez

Since Specialization

Citations

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

Fields of papers citing papers by Roland Fernandez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Fernandez

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

All Works

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10 of 10 papers shown

1.

Smolensky, Paul, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, & Jianfeng Gao. (2022). Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems. AI Magazine. 43(3). 308–322. 27 indexed citations

2.

Jiang, Yichen, Aslı Çelikyılmaz, Paul Smolensky, et al.. (2021). Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. 4780–4793. 8 indexed citations

3.

Park, Deokgun, Steven M. Drucker, Roland Fernandez, & Niklas Elmqvist. (2017). <sc>Atom</sc>: A Grammar for Unit Visualizations. IEEE Transactions on Visualization and Computer Graphics. 24(12). 3032–3043. 73 indexed citations

4.

Possin, Katherine L., Pascal E. Sanchez, Roland Fernandez, et al.. (2016). Cross-species translation of the Morris maze for Alzheimer’s disease. Journal of Clinical Investigation. 126(2). 779–783. 44 indexed citations

5.

Kairam, Sanjay, Nathalie Henry Riche, Steven M. Drucker, Roland Fernandez, & Jeffrey Heer. (2015). Refinery: Visual Exploration of Large, Heterogeneous Networks through Associative Browsing. Computer Graphics Forum. 34(3). 301–310. 23 indexed citations

6.

Drucker, Steven M. & Roland Fernandez. (2015). A Unifying Framework for Animated and Interactive Unit Visualizations. 21 indexed citations

7.

Fisher, Danyel, et al.. (2011). Vis-à-vis: A Visual Language for Spreadsheet Visualizations. 2 indexed citations

8.

Grigoreanu, Valentina, Roland Fernandez, Kori Inkpen, & G. Robertson. (2009). What designers want: Needs of interactive application designers. 11. 139–146. 20 indexed citations

9.

Robertson, G., Roland Fernandez, Danyel Fisher, Benjamin Lee, & John Stasko. (2008). Effectiveness of Animation in Trend Visualization. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1325–1332. 273 indexed citations

10.

Robbins, Daniel C., Bongshin Lee, & Roland Fernandez. (2008). TapGlance. 386–394. 6 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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