Rahul Arora

726 citations
13 papers · 495 indexed · h-index 9

Impact in

Papers in

Rahul Arora

11 papers receiving 480 citations

Peers

Rahul Arora
Comparison fields: 5 of 57
  • Human-Computer Interaction 285
  • Computer Graphics and Computer-Aided Design 65
  • Computer Vision and Pattern Recognition 242
  • Architecture 9
  • Cognitive Neuroscience 111
Replace Gerold Wesche with:
Gerold Wesche Germany
Felipe Bacim United States
Zsolt Szalavári Austria
Keihachiro Tachibana Japan
Charles Woodward Finland
Gioacchino Noris Switzerland
Youngwoo Yoon South Korea
Beat Brüderlin Germany
Stephen Ehmann United States
Xuejian Rong United States
Rahul Arora relative to Gerold Wesche Germany Gerold Wesche's profile →
Citations per field
00.5×10×15×20×22.5×
Gerold Wesche · 1×
Citations per year

Countries citing papers authored by Rahul Arora

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Rahul Arora, 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 Rahul Arora Line = papers co-authored together Rahul Arora links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20250
2 202217
3 202134
4 20204
5 201947
6 20195
7 201924
8 2018140
9 201717
10 2017143
11 201640
12 20160
13 201524

About Rahul Arora

Rahul Arora is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Discrete Mathematics and Combinatorics, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 13 papers that have together received 495 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (5 papers), Augmented Reality Applications (3 papers), Virtual Reality Applications and Impacts (3 papers), Computer Graphics and Visualization Techniques (3 papers), IoT and Edge/Fog Computing (2 papers), Advanced Vision and Imaging (2 papers), Lattice Boltzmann Simulation Studies (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (285 citations), Computer Graphics and Computer-Aided Design (65 citations), Computer Vision and Pattern Recognition (242 citations), Architecture (9 citations) and Cognitive Neuroscience (111 citations). Rahul Arora has collaborated with scholars based in Canada, India and Denmark. Frequent co-authors include Karan Singh, Rubaiat Habib Kazi, George Fitzmaurice, Tovi Grossman, Fraser Anderson, Adrien Bousseau, Danny M. Kaufman, Jakob Andreas Bærentzen, Wilmot Li and Philipp Neumann. Their work appears in journals such as ACM Transactions on Graphics, Computer Physics Communications, Computer Graphics Forum, Metal Powder Report and HAL (Le Centre pour la Communication Scientifique Directe).

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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