Rahul Arora

751 citations
13 papers · 527 · h-index 9

Impact in

Papers in

Rahul Arora

11 papers receiving 512 citations

Peers

Rahul Arora
Comparison fields: 5 of 57
  • Human-Computer Interaction 307
  • Computer Graphics and Computer-Aided Design 65
  • Computer Vision and Pattern Recognition 254
  • Cognitive Neuroscience 116
  • Architecture 9
Replace Gerold Wesche with:
Gerold Wesche Germany
Seok-Hyung Bae South Korea
Felipe Bacim United States
Zsolt Szalavári Austria
Marc Christie France
Hiroaki Nishino Japan
Keihachiro Tachibana Japan
Shuxia Wang China
Charles Woodward Finland
Gioacchino Noris Switzerland
Rahul Arora relative to Gerold Wesche Germany Gerold Wesche's profile →
Citations per field
00.5×10×16×
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-authors

The 20 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 2017155
2 2018149
3 201954
4 201640
5 202135
6 201924
7 201524
8 201719
9 202218
10 20195
11 20204
12 20160
13 20250

About Rahul Arora

Rahul Arora is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 13 papers that have together received 527 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 (307 citations), Computer Graphics and Computer-Aided Design (65 citations), Computer Vision and Pattern Recognition (254 citations), Cognitive Neuroscience (116 citations) and Architecture (9 citations). Rahul Arora has collaborated with scholars based in Canada, India and Denmark. Frequent co-authors include Karan Singh, Rubaiat Habib Kazi, Tovi Grossman, George Fitzmaurice, Fraser Anderson, Adrien Bousseau, Danny M. Kaufman, Wilmot Li, Jakob Andreas Bærentzen and Gregory Falco. Their work appears in journals such as Computer Physics Communications, ACM Transactions on Graphics, 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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