ABB (India)

4.6k citations
342 papers ·

Impact in

Papers in

    • Software Reliability and Analysis Research 17
    • Smart Grid Security and Resilience 29
    • Power Systems Fault Detection 25
    • Microgrid Control and Optimization 23
    • Advanced Control Systems Optimization 18

ABB (India)

305 papers receiving 4.4k citations

Peers

ABB (India)
Comparison fields: 5 of 171
  • Ecological Modeling 291
  • Software 224
  • Control and Systems Engineering 1.2k
  • Ecology 943
  • Computer Science Applications 136
Replace Government College of Engineering, Tirunelveli with:
Government College of Engineering, Tirunelveli India
Indian Institute of Information Technology Sri City India
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Thiagarajar College of Engineering India
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Global Academy of Technology India
ABB (India) relative to Government College of Engineering, Tirunelveli India Government College of Engineering, Tirunelveli's profile →
Citations per field
00.5×10×14.9×
Government College of Engineering, Tirunelveli · 1×
Citations per year

Countries citing scholars working at ABB (India)

Since Specialization
Citations

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

Fields of papers published by authors at ABB (India)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About ABB (India)

In recent decades, authors affiliated with ABB (India) have published 342 papers, which have received a total of 4.6k indexed citations . Scholars at this organization have produced 25 papers in Software, 116 papers in Control and Systems Engineering, 19 papers in Computer Science Applications, 69 papers in Information Systems and 68 papers in Computer Networks and Communications on the topics of Software Engineering Research (33 papers), Smart Grid Security and Resilience (29 papers), Software System Performance and Reliability (27 papers), Power Systems Fault Detection (25 papers), Microgrid Control and Optimization (23 papers), Islanding Detection in Power Systems (20 papers), Advanced Control Systems Optimization (18 papers) and Software Reliability and Analysis Research (17 papers). Their work is cited by papers focused on Ecological Modeling (291 citations), Software (224 citations), Control and Systems Engineering (1.2k citations), Ecology (943 citations) and Computer Science Applications (136 citations). Authors at ABB (India) collaborate with scholars in India, Switzerland and United States and have published in prestigious journals including Scientific Reports, Software Practice and Experience, IEEE Transactions on Power Delivery, IET Generation Transmission & Distribution and Journal of Systems and Software. Some of ABB (India)'s most productive authors include K. Ullas Karanth, James D. Nichols, Ashish Sureka, Pankesh Patel, O. D. Naidu, Damien Cassou, Mukul C. Chandorkar, Shivkumar V. Iyer, Madhu N. Belur and Ashok Kumar Pradhan.

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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