K.M. Nagpal

60 total papers · 3.2k total citations
42 papers, 2.2k citations indexed

About

K.M. Nagpal is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, K.M. Nagpal has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in K.M. Nagpal's work include Control Systems and Identification (26 papers), Stability and Control of Uncertain Systems (23 papers) and Fault Detection and Control Systems (14 papers). K.M. Nagpal is often cited by papers focused on Control Systems and Identification (26 papers), Stability and Control of Uncertain Systems (23 papers) and Fault Detection and Control Systems (14 papers). K.M. Nagpal collaborates with scholars based in United States, India and Italy. K.M. Nagpal's co-authors include Pramod P. Khargonekar, Kameshwar Poolla, J. Abedor, R. Ravi, J.M. Krause, A. Tikku, Ronald E. Helmick, Yangmu Li, Er‐Wei Bai and Tyrone L. Vincent and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Systems & Control Letters.

In The Last Decade

K.M. Nagpal

38 papers receiving 2.1k citations

Hit Papers

Filtering and smoothing i... 1991 2026 2002 2014 1991 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K.M. Nagpal 1.9k 402 219 190 182 42 2.2k
Hélène Piet-Lahanier 1.4k 0.7× 288 0.7× 220 1.0× 355 1.9× 343 1.9× 102 1.9k
G. Kreisselmeier 2.0k 1.0× 170 0.4× 146 0.7× 209 1.1× 137 0.8× 40 2.7k
Ramine Nikoukhah 1.7k 0.9× 429 1.1× 136 0.6× 57 0.3× 235 1.3× 100 2.3k
Adrian Wills 1.8k 0.9× 541 1.3× 94 0.4× 126 0.7× 180 1.0× 92 2.5k
Tohru Katayama 1.8k 0.9× 247 0.6× 124 0.6× 85 0.4× 193 1.1× 147 2.2k
H. Unbehauen 2.7k 1.4× 498 1.2× 199 0.9× 96 0.5× 118 0.6× 170 3.1k
I. Yaesh 1.3k 0.7× 308 0.8× 232 1.1× 251 1.3× 56 0.3× 80 1.5k
Christopher I. Byrnes 2.3k 1.2× 149 0.4× 244 1.1× 249 1.3× 94 0.5× 87 2.9k
Alexandre Megretski 2.3k 1.2× 282 0.7× 324 1.5× 154 0.8× 219 1.2× 107 3.1k
Elmer G. Gilbert 2.4k 1.2× 151 0.4× 180 0.8× 376 2.0× 56 0.3× 50 3.0k

Countries citing papers authored by K.M. Nagpal

Since Specialization
Citations

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

Fields of papers citing papers by K.M. Nagpal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.M. Nagpal. 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 K.M. Nagpal. The network helps show where K.M. Nagpal may publish in the future.

Co-authorship network of co-authors of K.M. Nagpal

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

All Works

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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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