Machine Intelligence Research Labs

467 papers and 11.8k indexed citations i.

About

In recent decades, authors affiliated with Machine Intelligence Research Labs have published 467 papers, which have received a total of 11.8k indexed citations. Scholars at this organization have produced 196 papers in Artificial Intelligence, 79 papers in Computer Vision and Pattern Recognition and 62 papers in Computer Networks and Communications on the topics of Metaheuristic Optimization Algorithms Research (94 papers), Evolutionary Algorithms and Applications (55 papers) and Advanced Multi-Objective Optimization Algorithms (41 papers). Their work is cited by papers focused on Artificial Intelligence (4.5k citations), Computer Networks and Communications (1.9k citations) and Computer Vision and Pattern Recognition (1.8k citations). Authors at Machine Intelligence Research Labs collaborate with scholars in United States, India and Czechia and have published in prestigious journals including Scientific Reports, Journal of Cleaner Production and Expert Systems with Applications. Some of Machine Intelligence Research Labs's most productive authors include Ajith Abraham, Rutuparna Panda, Václav Snåšel, Fariba Goodarzian, Millie Pant, Peiman Ghasemi, Sanjay Agrawal, Varun Ojha, Laura García‐Hernández and Pranab K. Muhuri.

In The Last Decade

Fields of papers published by authors at Machine Intelligence Research Labs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Machine Intelligence Research Labs at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Machine Intelligence Research Labs at the time of their publication.

Countries citing scholars working at Machine Intelligence Research Labs

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Machine Intelligence Research Labs. 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 papers produced at Machine Intelligence Research Labs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Machine Intelligence Research Labs more than expected).

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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2025