Supreet Reddy Mandala

504 total citations
9 papers, 411 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 411 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 Complex Network Analysis Techniques (4 papers), Transportation Planning and Optimization (4 papers) and Opinion Dynamics and Social Influence (3 papers). Supreet Reddy Mandala is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Transportation Planning and Optimization (4 papers) and Opinion Dynamics and Social Influence (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, Réka Albert, Calyampudi Radhakrishna Rao, Kalyan Chatterjee, Maja Vuković, Jim Laredo and Yaoping Ruan 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 390 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Supreet Reddy Mandala United States 5 192 148 121 117 82 9 411
Eda Yücel Türkiye 11 186 1.0× 91 0.6× 32 0.3× 44 0.4× 199 2.4× 23 429
Vedat Bayram Türkiye 7 268 1.4× 278 1.9× 173 1.4× 61 0.5× 76 0.9× 12 438
John J. Bernardo United States 7 168 0.9× 98 0.7× 42 0.3× 64 0.5× 156 1.9× 18 373
Jeffrey Goldberg United States 10 217 1.1× 119 0.8× 66 0.5× 39 0.3× 345 4.2× 14 571
Sergio García United Kingdom 12 228 1.2× 30 0.2× 67 0.6× 50 0.4× 240 2.9× 24 471
Trevor S. Hale United States 6 233 1.2× 55 0.4× 43 0.4× 41 0.4× 187 2.3× 18 487
Dilek Günneç Türkiye 9 111 0.6× 77 0.5× 49 0.4× 35 0.3× 59 0.7× 16 375
Kannan Viswanath United States 3 134 0.7× 86 0.6× 47 0.4× 32 0.3× 70 0.9× 5 284
Robert Aboolian United States 11 332 1.7× 38 0.3× 112 0.9× 33 0.3× 193 2.4× 13 536

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

9 of 9 papers shown
1.
Mandala, Supreet Reddy, Soundar Kumara, & Kalyan Chatterjee. (2014). A Game-Theoretic Approach to Graph Clustering. INFORMS journal on computing. 26(3). 629–643. 10 indexed citations
2.
Mandala, Supreet Reddy, Soundar Kumara, & Tao Yao. (2012). Detecting alternative graph clusterings. Physical Review E. 86(1). 16111–16111. 1 indexed citations
3.
Mandala, Supreet Reddy. (2012). Scalable and robust algorithms for clustering large scale networks. 1 indexed citations
4.
Mandala, Supreet Reddy, et al.. (2012). Hybrid Role Mining for Security Service Solution. 210–217. 3 indexed citations
5.
Mandala, Supreet Reddy, Soundar Kumara, Calyampudi Radhakrishna Rao, & Réka Albert. (2011). Clustering social networks using ant colony optimization. Operational Research. 13(1). 47–65. 25 indexed citations
6.
Yao, Tao, Aharon Ben‐Tal, Byung Do Chung, & Supreet Reddy Mandala. (2010). Robust Optimization for Dynamic Traffic Assignment Under Demand Uncertainty. Transportation Research Board 89th Annual MeetingTransportation Research Board. 2 indexed citations
7.
Ben‐Tal, Aharon, Byung Do Chung, Supreet Reddy Mandala, & Tao Yao. (2010). Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains. Transportation Research Part B Methodological. 45(8). 1177–1189. 266 indexed citations
8.
Ben‐Tal, Aharon, Supreet Reddy Mandala, & Tao Yao. (2009). Evacuation Under Data Uncertainty: Robust Linear Programming Model. Transportation Research Board 88th Annual MeetingTransportation Research Board. 5 indexed citations
9.
Yao, Tao, Supreet Reddy Mandala, & Byung Do Chung. (2009). Evacuation Transportation Planning Under Uncertainty: A Robust Optimization Approach. Networks and Spatial Economics. 9(2). 171–189. 98 indexed citations

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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