Natasha Neogi

95 total papers · 992 total citations
61 papers, 660 citations indexed

About

Natasha Neogi is a scholar working on Aerospace Engineering, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Natasha Neogi has authored 61 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Aerospace Engineering, 13 papers in Artificial Intelligence and 12 papers in Social Psychology. Recurrent topics in Natasha Neogi's work include Air Traffic Management and Optimization (22 papers), Human-Automation Interaction and Safety (12 papers) and Risk and Safety Analysis (11 papers). Natasha Neogi is often cited by papers focused on Air Traffic Management and Optimization (22 papers), Human-Automation Interaction and Safety (12 papers) and Risk and Safety Analysis (11 papers). Natasha Neogi collaborates with scholars based in United States, Australia and Mexico. Natasha Neogi's co-authors include Michael D. Patterson, Scot E. Campbell, Kenneth H. Goodrich, Michael Bragg, Hok K. Ng, Michael Feary, Susie Go, Barbara K. Burian, Bryan Barmore and Parimal Kopardekar and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Safety Science and Journal of Guidance Control and Dynamics.

In The Last Decade

Natasha Neogi

52 papers receiving 627 citations

Hit Papers

Urban Air Mobility Airspa... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Natasha Neogi 446 162 122 117 89 61 660
Jun Chen 461 1.0× 153 0.9× 192 1.6× 190 1.6× 56 0.6× 52 729
Simon I. Briceño 409 0.9× 79 0.5× 119 1.0× 105 0.9× 66 0.7× 57 740
Hok K. Ng 592 1.3× 217 1.3× 179 1.5× 125 1.1× 63 0.7× 51 778
Trevor Kistan 392 0.9× 83 0.5× 57 0.5× 83 0.7× 215 2.4× 32 618
Bernd Korn 586 1.3× 60 0.4× 93 0.8× 61 0.5× 245 2.8× 110 746
Bryan Barmore 642 1.4× 137 0.8× 228 1.9× 141 1.2× 254 2.9× 35 757
María Consiglio 481 1.1× 109 0.7× 42 0.3× 79 0.7× 179 2.0× 67 610
Joseph Rios 582 1.3× 121 0.7× 155 1.3× 139 1.2× 74 0.8× 44 694
Liling Ren 614 1.4× 78 0.5× 289 2.4× 83 0.7× 127 1.4× 43 673
Stéphane Puechmorel 388 0.9× 62 0.4× 120 1.0× 84 0.7× 134 1.5× 35 574

Countries citing papers authored by Natasha Neogi

Since Specialization
Citations

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

Fields of papers citing papers by Natasha Neogi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natasha Neogi. 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 Natasha Neogi. The network helps show where Natasha Neogi may publish in the future.

Co-authorship network of co-authors of Natasha Neogi

This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Neogi. A scholar is included among the top collaborators of Natasha Neogi 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 Natasha Neogi. Natasha Neogi 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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