Numair Khan

604 citations
13 papers · 349 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Numair Khan

11 papers receiving 341 citations

Hit Papers

Neural Fields in Visual Computing and Beyond 2022 · 275 citations
275202220262023202450100150200250

Peers

Numair Khan
Comparison fields: 5 of 61
  • Computer Graphics and Computer-Aided Design 115
  • Computer Vision and Pattern Recognition 225
  • Computational Mechanics 111
  • Geology 16
  • Structural Biology 4
Replace Frederik Warburg with:
Frederik Warburg Denmark
Matheus Gadelha United States
M. Pauline Baker United States
T.S. Yoo United States
Erik Brisson United States
Gregory Johnson United States
Cass Everitt United Kingdom
Lifan Wu United States
Adrian Secord United States
Martin Kiefel Germany
Numair Khan relative to Frederik Warburg Denmark Frederik Warburg's profile →
Citations per field
00.5×2.6×
Frederik Warburg · 1×
Citations per year

Countries citing papers authored by Numair Khan

Since Specialization
Citations

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

Fields of papers citing papers by Numair Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Numair Khan, 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 Numair Khan Line = papers co-authored together Numair Khan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20250
2 20256
3 20246
4 20240
5 20233
6 20233
7
Neural Fields in Visual Computing and Beyond
Hit paper breakdown →
2022275
8 20212
9 20204
10 201916
11 201725
12 20174
13 20165

About Numair Khan

Numair Khan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Transportation, Geography, Planning and Development and Biophysics, having authored 13 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Image Processing Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Optical measurement and interference techniques (2 papers), Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (115 citations), Computer Vision and Pattern Recognition (225 citations), Computational Mechanics (111 citations), Geology (16 citations) and Structural Biology (4 citations). Numair Khan has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include James Tompkin, Yiheng Xie, Federico Tombari, Srinath Sridhar, Vincent Sitzmann, Towaki Takikawa, Or Litany, Shunsuke Saito, Anis Ur Rahman and Min H. Kim. Their work appears in journals such as Computer Graphics Forum, Pervasive and Mobile Computing, International Journal of Computer Vision, International Journal of Human-Computer Interaction and Adelaide Research & Scholarship (AR&S) (University of Adelaide).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026