Amit Goyal

2.3k total citations · 2 hit papers
8 papers, 1.5k citations indexed

About

Amit Goyal is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Amit Goyal has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 4 papers in Computer Networks and Communications and 3 papers in Management Science and Operations Research. Recurrent topics in Amit Goyal's work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (4 papers) and Peer-to-Peer Network Technologies (2 papers). Amit Goyal is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (4 papers) and Peer-to-Peer Network Technologies (2 papers). Amit Goyal collaborates with scholars based in Canada, Spain and United States. Amit Goyal's co-authors include Laks V. S. Lakshmanan, Wei Lu, Francesco Bonchi, Smriti Bhagat, Suresh Venkatasubramanian and Çiğdem Aslay and has published in prestigious journals such as Proceedings of the VLDB Endowment, Social Network Analysis and Mining and Open Collections.

In The Last Decade

Amit Goyal

8 papers receiving 1.5k citations

Hit Papers

CELF++ 2011 2026 2016 2021 2011 2011 100 200 300 400 500

Peers

Amit Goyal
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 1.4k
  • Computer Networks and Communications 357
  • Information Systems 332
  • Artificial Intelligence 300
  • Sociology and Political Science 171
Replace Matt Richardson with:
Matt Richardson Canada
Youze Tang Singapore
Yifei Yuan United States
Xiangyang Lan United States
Minas Gjoka United States
Matthew Hurst United States
Hakim Hacid United Arab Emirates
Nicola Barbieri Spain
Kostas Tsioutsiouliklis United States
Karthik Subbian United States
Matt Richardson Canada View profile →
Citations per field, relative to Amit Goyal
Amit Goyal · 1×
Citations per year, relative to Amit Goyal
Amit Goyal · 1×

Countries citing papers authored by Amit Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Amit Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Goyal

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 39
2 2
3 56
4 109
5 92
6 595
7
SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model breakdown →
350
8 280

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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