Theja Tulabandhula
- Automotive Engineering top 10%
- Transportation and Mobility Innovations 4
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- Advanced Neural Network Applications 4
- Advanced Vision and Imaging 4
- Building and Construction top 10%
- Smart Parking Systems Research 3
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- Robotics and Sensor-Based Localization 5
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- Advanced Bandit Algorithms Research 5
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- Machine Learning and Data Classification 4
- Machine Learning and Algorithms 3
- Co-authors
- Cynthia RudinAmit Ranjan TrivediBo ZouAhish ShylendraSawyer B. FullerSupriyo BandyopadhyayAnkush ChakrabartyWilfred Gomes
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Theja Tulabandhula
34 papers receiving 341 citations
Peers
Comparison fields: 5 of 72
- Automotive Engineering 112
- Computer Vision and Pattern Recognition 80
- Instrumentation 13
- Building and Construction 45
- Industrial and Manufacturing Engineering 32
Countries citing papers authored by Theja Tulabandhula
This map shows the geographic impact of Theja Tulabandhula'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 Theja Tulabandhula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theja Tulabandhula more than expected).
Fields of papers citing papers by Theja Tulabandhula
This network shows the impact of papers produced by Theja Tulabandhula. 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 Theja Tulabandhula. The network helps show where Theja Tulabandhula may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Theja Tulabandhula, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 39 | |
| 10 | 2020 | 18 | |
| 11 | Making Recommendations when Users Experience Fatigue. | 2020 | 1 |
| 12 | 2020 | 21 | |
| 13 | 2019 | 143 | |
| 14 | Learning Buyer Behavior under Realistic Pricing Restrictions. | 2018 | 1 |
| 15 | 2018 | 3 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 2 | |
| 18 | 2014 | 9 | |
| 19 | Machine learning with operational costs | 2013 | 11 |
| 20 | Machine Learning and the Traveling Repairman | 2011 | 1 |
About Theja Tulabandhula
Theja Tulabandhula is a scholar working on Management Science and Operations Research, Artificial Intelligence and Marketing, having authored 38 papers that have together received 354 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Bandit Algorithms Research (5 papers), Transportation and Mobility Innovations (4 papers), Advanced Neural Network Applications (4 papers), Machine Learning and Data Classification (4 papers), Advanced Vision and Imaging (4 papers), Machine Learning and Algorithms (3 papers) and Smart Parking Systems Research (3 papers). The work is most often cited by research in Automotive Engineering (112 citations), Computer Vision and Pattern Recognition (80 citations) and Instrumentation (13 citations). Theja Tulabandhula has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Cynthia Rudin, Amit Ranjan Trivedi, Bo Zou, Ahish Shylendra, Sawyer B. Fuller, Supriyo Bandyopadhyay, Ankush Chakrabarty, Wilfred Gomes, Danilo Erricolo and Ragavendran Gopalakrishnan. Their work appears in journals such as European Journal of Operational Research, IEEE Access and Sensors.
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.