Gurbinder Gill

553 total citations
17 papers, 305 citations indexed

About

Gurbinder Gill is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Gurbinder Gill has authored 17 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Gurbinder Gill's work include Graph Theory and Algorithms (14 papers), Cloud Computing and Resource Management (7 papers) and Advanced Graph Neural Networks (6 papers). Gurbinder Gill is often cited by papers focused on Graph Theory and Algorithms (14 papers), Cloud Computing and Resource Management (7 papers) and Advanced Graph Neural Networks (6 papers). Gurbinder Gill collaborates with scholars based in United States, India and Rwanda. Gurbinder Gill's co-authors include Keshav Pingali, Roshan Dathathri, Loc Hoang, Xuhao Chen, Hoang-Vu Dang, Marc Snir, Alex Brooks, Nikoli Dryden, Lisa Kitinoja and Vijaya Ramachandran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the VLDB Endowment and ACM SIGPLAN Notices.

In The Last Decade

Gurbinder Gill

17 papers receiving 298 citations

Peers

Gurbinder Gill
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 236
  • Artificial Intelligence 145
  • Computer Networks and Communications 108
  • Information Systems 93
  • Hardware and Architecture 74
Replace Loc Hoang with:
Loc Hoang United States
Daniele G. Spampinato Switzerland
Carl Yang United States
Yinglong Xia United States
Roshan Dathathri United States
Yuduo Wu United States
Yuechao Pan United States
Farzad Khorasani United States
Virat Agarwal United States
Can Lu Hong Kong
Loc Hoang United States View profile →
Citations per field, relative to Gurbinder Gill
Gurbinder Gill · 1×
Citations per year, relative to Gurbinder Gill
Gurbinder Gill · 1×

Countries citing papers authored by Gurbinder Gill

Since Specialization
Citations

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

Fields of papers citing papers by Gurbinder Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurbinder Gill

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 7
2 28
3 4
4 8
5 56
6 16
7
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU
4
8 18
9 15
10 13
11 15
12 3
13 16
14 19
15 76
16 6
17 1

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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