Supreet Reddy Mandala

12 total papers · 504 total citations
9 papers, 408 citations indexed

About

Supreet Reddy Mandala is a scholar working on Statistical and Nonlinear Physics, Transportation and Ocean Engineering. According to data from OpenAlex, Supreet Reddy Mandala has authored 9 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 4 papers in Transportation and 3 papers in Ocean Engineering. Recurrent topics in Supreet Reddy Mandala's work include Transportation Planning and Optimization (4 papers), Complex Network Analysis Techniques (4 papers) and Evacuation and Crowd Dynamics (3 papers). Supreet Reddy Mandala is often cited by papers focused on Transportation Planning and Optimization (4 papers), Complex Network Analysis Techniques (4 papers) and Evacuation and Crowd Dynamics (3 papers). Supreet Reddy Mandala collaborates with scholars based in United States, India and Israel. Supreet Reddy Mandala's co-authors include Tao Yao, Byung Do Chung, Aharon Ben‐Tal, Soundar Kumara, Calyampudi Radhakrishna Rao, Réka Albert, Kalyan Chatterjee, Jim Laredo, Yaoping Ruan and Maja Vuković and has published in prestigious journals such as Transportation Research Part B Methodological, INFORMS journal on computing and Networks and Spatial Economics.

In The Last Decade

Supreet Reddy Mandala

9 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Supreet Reddy Mandala 189 146 121 116 81 9 408
Michael T. Marsh 182 1.0× 50 0.3× 130 1.1× 74 0.6× 137 1.7× 7 439
Vedat Bayram 266 1.4× 274 1.9× 172 1.4× 61 0.5× 76 0.9× 12 434
Yang Liu 174 0.9× 121 0.8× 39 0.3× 59 0.5× 54 0.7× 22 402
Eda Yücel 182 1.0× 89 0.6× 32 0.3× 44 0.4× 197 2.4× 23 422
John J. Bernardo 166 0.9× 97 0.7× 41 0.3× 64 0.6× 157 1.9× 18 371
Özlem Karsu 139 0.7× 34 0.2× 52 0.4× 48 0.4× 157 1.9× 28 427
Dilek Günneç 110 0.6× 77 0.5× 49 0.4× 35 0.3× 58 0.7× 16 371
Trevor S. Hale 231 1.2× 54 0.4× 43 0.4× 40 0.3× 188 2.3× 18 485
Sergio García 225 1.2× 30 0.2× 67 0.6× 50 0.4× 237 2.9× 24 467
Jerry R. Weaver 211 1.1× 47 0.3× 58 0.5× 34 0.3× 256 3.2× 8 401

Countries citing papers authored by Supreet Reddy Mandala

Since Specialization
Citations

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

Fields of papers citing papers by Supreet Reddy Mandala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Supreet Reddy Mandala. 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 Supreet Reddy Mandala. The network helps show where Supreet Reddy Mandala may publish in the future.

Co-authorship network of co-authors of Supreet Reddy Mandala

This figure shows the co-authorship network connecting the top 25 collaborators of Supreet Reddy Mandala. A scholar is included among the top collaborators of Supreet Reddy Mandala 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 Supreet Reddy Mandala. Supreet Reddy Mandala 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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