GloMoSim: A Scalable Network Simulation Environment

389 indexed citations

Abstract

loading...

About

This paper, published in 2002, received 389 indexed citations. Written by Mineo Takai, Ken Tang, Rajive Bagrodia and Mário Gerla covering the research area of Electrical and Electronic Engineering and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (378 citations), Electrical and Electronic Engineering (125 citations) and Management Science and Operations Research (19 citations). Published in .

In The Last Decade

doi.org/w90700968 →

Countries where authors are citing GloMoSim: A Scalable Network Simulation Environment

Specialization
Citations

This map shows the geographic impact of GloMoSim: A Scalable Network Simulation Environment. 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 GloMoSim: A Scalable Network Simulation Environment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GloMoSim: A Scalable Network Simulation Environment more than expected).

Fields of papers citing GloMoSim: A Scalable Network Simulation Environment

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of GloMoSim: A Scalable Network Simulation Environment. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the GloMoSim: A Scalable Network Simulation Environment.

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.

This paper is also available at doi.org/w90700968.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026