Joel Daniels

21 total papers · 558 total citations
14 papers, 396 citations indexed

About

Joel Daniels is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joel Daniels has authored 14 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 12 papers in Computer Graphics and Computer-Aided Design and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joel Daniels's work include 3D Shape Modeling and Analysis (11 papers), Computer Graphics and Visualization Techniques (10 papers) and Computational Geometry and Mesh Generation (8 papers). Joel Daniels is often cited by papers focused on 3D Shape Modeling and Analysis (11 papers), Computer Graphics and Visualization Techniques (10 papers) and Computational Geometry and Mesh Generation (8 papers). Joel Daniels collaborates with scholars based in United States, Brazil and France. Joel Daniels's co-authors include Claudio Silva, Elaine Cohen, Tilo Ochotta, Jason F. Shepherd, Luís Gustavo Nonato, Erik Anderson, Mário Costa Sousa, Paulo Joia, Emílio Vital Brazil and Valerio Pascucci and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Joel Daniels

14 papers receiving 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Joel Daniels	243	236	150	66	47	14	396
Guandao Yang	237 1.0×	179 0.8×	223 1.5×	66 1.0×	25 0.5×	17	395
Junzhe Zhang	211 0.9×	105 0.4×	206 1.4×	133 2.0×	59 1.3×	18	433
Panos Achlioptas	295 1.2×	208 0.9×	253 1.7×	112 1.7×	41 0.9×	14	419
Samir Akkouche	229 0.9×	268 1.1×	132 0.9×	48 0.7×	42 0.9×	20	401
Fábio Policarpo	178 0.7×	257 1.1×	249 1.7×	22 0.3×	17 0.4×	13	407
Yan Zhang	259 1.1×	115 0.5×	265 1.8×	102 1.5×	43 0.9×	27	405
Chi‐Han Peng	130 0.5×	157 0.7×	158 1.1×	67 1.0×	37 0.8×	18	352
Lubin Fan	183 0.8×	106 0.4×	219 1.5×	91 1.4×	39 0.8×	13	343
T.S. Yoo	216 0.9×	230 1.0×	222 1.5×	13 0.2×	18 0.4×	12	435
Varun Jain	279 1.1×	107 0.5×	215 1.4×	18 0.3×	15 0.3×	24	427

Countries citing papers authored by Joel Daniels

Since Specialization

Citations

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

Fields of papers citing papers by Joel Daniels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Daniels

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

All Works

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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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