General Motors (India)

733 papers and 10.5k indexed citations i.

About

In recent decades, authors affiliated with General Motors (India) have published 733 papers, which have received a total of 10.5k indexed citations. Scholars at this organization have produced 229 papers in Mechanical Engineering, 175 papers in Automotive Engineering and 131 papers in Materials Chemistry on the topics of Advanced Combustion Engine Technologies (128 papers), Vehicle emissions and performance (83 papers) and Catalytic Processes in Materials Science (56 papers). Their work is cited by papers focused on Mechanical Engineering (2.5k citations), Materials Chemistry (2.4k citations) and Fluid Flow and Transfer Processes (2.3k citations). Authors at General Motors (India) collaborate with scholars in India, United States and Japan and have published in prestigious journals including Journal of Neuroscience, Blood and Energy & Environmental Science. Some of General Motors (India)'s most productive authors include Kiran Deshpande, Ji‐Hui Yang, H A Waldron, Daniel C. Haworth, Robert R. Inman, Hans Forssberg, H. Henrik Ehrsson, Vinay Kumar, Karthik Ramanathan and Rolf D. Reitz.

In The Last Decade

Fields of papers published by authors at General Motors (India)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with General Motors (India) 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 General Motors (India) at the time of their publication.

Countries citing scholars working at General Motors (India)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at General Motors (India). 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 General Motors (India) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites General Motors (India) 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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