Naveen Garg

58 papers receiving 2.2k citations

Hit Papers

Faster and simpler algorithms for multicommodity flow and...20022026201020182002100200300

Peers

Naveen Garg
Comparison fields: 5 of 86
  • Computer Networks and Communications 1.4k
  • Computational Theory and Mathematics 1.0k
  • Industrial and Manufacturing Engineering 459
  • Electrical and Electronic Engineering 411
  • Organizational Behavior and Human Resource Management 308
Replace Amit Kumar with:
Amit Kumar India
R. Chandrasekaran United States
Maxim Sviridenko United States
S. S. Ravi United States
Ulrich Pferschy Austria
Baruch Schieber United States
Serge Plotkin United States
Jens Vygen Germany
Greg N. Frederickson United States
Francesco Maffioli Italy
Naveen Garg relative to Amit Kumar India Amit Kumar's profile →
Citations per field
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Amit Kumar · 1×
Citations per year

Countries citing papers authored by Naveen Garg

Since Specialization
Citations

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

Fields of papers citing papers by Naveen Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naveen Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Naveen Garg. A scholar is included among the top collaborators of Naveen 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 Naveen Garg. Naveen 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
#WorkIndexed citations
1 0
2 6
3 2
4 2
5 6
6 2
7 1
8 55
9
FSTTCS 2006: Foundations of Software Technology and Theoretical Computer Science: 26th International Conference, Kolkata, India, December 13-15, 2006, Proceedings (Lecture Notes in Computer Science)
2
10 0
11 16
12 107
13 10
14 8
15
Faster and simpler algorithms for multicommodity flow and other fractional packing problemsbreakdown →
332
16 89
17 36
18
Generalized $k$-Center Problems
0
19 8
20 20

About Naveen Garg

Naveen Garg is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (25 papers), Optimization and Search Problems (20 papers) and Advanced Graph Theory Research (17 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Computer Networks and Communications (1.4k citations) and Computer Graphics and Computer-Aided Design (181 citations). Naveen Garg has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Jochen Könemann, Vijay V. Vazirani, Mihalis Yannakakis, Rohit Khandekar, R. Ravi, Vinayaka Pandit, Kamesh Munagala, Adam Meyerson, Goran Konjevod and Amit Kumar. Their work appears in journals such as Journal of the ACM, Mathematical Programming and SIAM Journal on Computing.

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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