Supreet Reddy Mandala
- Organizational Behavior and Human Resource Management top 5%
- Ocean Engineering top 5%
- Transportation top 5%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Tao YaoByung Do ChungAharon Ben‐TalSoundar KumaraCalyampudi Radhakrishna RaoRéka AlbertKalyan ChatterjeeMaja Vuković
- Topics
- Complex Network Analysis Techniques (4 papers)Transportation Planning and Optimization (4 papers)Opinion Dynamics and Social Influence (3 papers)
- Journals
- Transportation Research Part B MethodologicalINFORMS journal on computingNetworks and Spatial Economics
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Supreet Reddy Mandala
9 papers receiving 390 citations
Peers
Comparison fields: 5 of 56
- Organizational Behavior and Human Resource Management 192
- Ocean Engineering 148
- Transportation 121
- Control and Systems Engineering 117
- Industrial and Manufacturing Engineering 82
Countries citing papers authored by Supreet Reddy Mandala
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | Scalable and robust algorithms for clustering large scale networks | 1 |
| 4 | 3 | |
| 5 | 25 | |
| 6 | Robust Optimization for Dynamic Traffic Assignment Under Demand Uncertainty | 2 |
| 7 | 266 | |
| 8 | Evacuation Under Data Uncertainty: Robust Linear Programming Model | 5 |
| 9 | 98 |
About Supreet Reddy Mandala
Supreet Reddy Mandala is a scholar working on Transportation, Statistical and Nonlinear Physics and Ocean Engineering, having authored 9 papers that have together received 411 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Transportation Planning and Optimization (4 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (192 citations), Transportation (121 citations) and Ocean Engineering (148 citations). Supreet Reddy Mandala has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Tao Yao, Byung Do Chung, Aharon Ben‐Tal, Soundar Kumara, Calyampudi Radhakrishna Rao, Réka Albert, Kalyan Chatterjee, Maja Vuković, Jim Laredo and Yaoping Ruan. Their work appears in journals such as Transportation Research Part B Methodological, INFORMS journal on computing and Networks and Spatial Economics.
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.