Nikhil Garg

421 total citations
24 papers, 206 citations indexed

About

Nikhil Garg is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Nikhil Garg has authored 24 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 8 papers in Cognitive Neuroscience. Recurrent topics in Nikhil Garg's work include Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (5 papers). Nikhil Garg is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (5 papers). Nikhil Garg collaborates with scholars based in France, Canada and United States. Nikhil Garg's co-authors include Benoît Favre, James Henderson, Yasha Hasija, Veeky Baths, Fabien Alibart, Dominique Drouin, Yuan Zhang, Loris Bazzani, Michael Donoser and Yann Beilliard and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Nikhil Garg

22 papers receiving 192 citations

Peers

Nikhil Garg
Comparison fields: 5 of 52
  • Artificial Intelligence 100
  • Electrical and Electronic Engineering 51
  • Cognitive Neuroscience 37
  • Computer Vision and Pattern Recognition 34
  • Cellular and Molecular Neuroscience 18
Replace Pierre Tirilly with:
Pierre Tirilly France
Shantipriya Parida India
Nick Cammarata Canada
Ghodai Abdelrahman Australia
Stefan Klampfl Austria
Konstantinos Lazaros Greece
Muhammad Awais Pakistan
David G. T. Barrett United States
Stephan Tschechne Germany
Saleh Ashkboos Switzerland
Pierre Tirilly France View profile →
Citations per field, relative to Nikhil Garg
Nikhil Garg · 1×
Citations per year, relative to Nikhil Garg
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Countries citing papers authored by Nikhil Garg

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Garg

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 6
3 1
4 7
5 0
6 13
7 12
8 8
9 5
10 21
11 1
12 5
13 13
14 7
15 1
16 1
17
Unsupervised Semantic Role Induction with Global Role Ordering
8
18
Temporal Restricted Boltzmann Machines for Dependency Parsing
9
19 3
20 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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