Manoop Talasila

565 total citations
14 papers, 382 citations indexed

About

Manoop Talasila is a scholar working on Computer Science Applications, Transportation and Electrical and Electronic Engineering. According to data from OpenAlex, Manoop Talasila has authored 14 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 7 papers in Transportation and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Manoop Talasila's work include Mobile Crowdsensing and Crowdsourcing (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Human Mobility and Location-Based Analysis (7 papers). Manoop Talasila is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Human Mobility and Location-Based Analysis (7 papers). Manoop Talasila collaborates with scholars based in United States and Italy. Manoop Talasila's co-authors include Reza Curtmola, Cristian Borcea, Luca Foschini, Antonio Corradi, Paolo Bellavista, Giuseppe Cardone, Cristian Borcea, Guy Jacobson, Rittwik Jana and Xiaopeng Jiang and has published in prestigious journals such as IEEE Communications Magazine, IEEE Pervasive Computing and Pervasive and Mobile Computing.

In The Last Decade

Manoop Talasila

11 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manoop Talasila United States 8 219 171 131 105 97 14 382
Cristian Borcea United States 9 194 0.9× 153 0.9× 150 1.1× 197 1.9× 66 0.7× 19 441
Maryam Pouryazdan Canada 8 238 1.1× 116 0.7× 82 0.6× 123 1.2× 169 1.7× 12 410
Francesco Restuccia United States 5 256 1.2× 122 0.7× 70 0.5× 53 0.5× 141 1.5× 10 338
Terry H. S. Chu Canada 6 86 0.4× 73 0.4× 98 0.7× 178 1.7× 68 0.7× 7 332
Nirnay Ghosh India 10 180 0.8× 74 0.4× 54 0.4× 100 1.0× 123 1.3× 31 352
Yinuo Zhao China 7 140 0.6× 49 0.3× 50 0.4× 81 0.8× 87 0.9× 12 299
Md Tanvir Al Amin United States 14 242 1.1× 125 0.7× 63 0.5× 102 1.0× 194 2.0× 32 548
Leyla Kazemi United States 7 662 3.0× 278 1.6× 162 1.2× 135 1.3× 298 3.1× 8 757
Tanzima Hashem Bangladesh 13 60 0.3× 100 0.6× 43 0.3× 76 0.7× 192 2.0× 46 458
Ioannis Boutsis Greece 11 217 1.0× 145 0.8× 39 0.3× 101 1.0× 139 1.4× 32 393

Countries citing papers authored by Manoop Talasila

Since Specialization
Citations

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

Fields of papers citing papers by Manoop Talasila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoop Talasila

This figure shows the co-authorship network connecting the top 25 collaborators of Manoop Talasila. A scholar is included among the top collaborators of Manoop Talasila 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 Manoop Talasila. Manoop Talasila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Jiang, Xiaopeng, et al.. (2025). On-device indoor place prediction using WiFi-RTT and inertial sensors. Pervasive and Mobile Computing. 114. 102118–102118.
2.
Jiang, Xiaopeng, et al.. (2023). GoPlaces: An App for Personalized Indoor Place Prediction. 566–574.
3.
Hu, Yang, et al.. (2022). A Machine Learning-Driven Analysis of Phantom E911 Calls. 69–74. 1 indexed citations
4.
Jiang, Xiaopeng, Shuai Zhao, Guy Jacobson, et al.. (2021). Federated Meta-Location Learning for Fine-Grained Location Prediction. 2021 IEEE International Conference on Big Data (Big Data). 446–456. 5 indexed citations
5.
Zhao, Shuai, Xiaopeng Jiang, Guy Jacobson, et al.. (2020). Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach. 1–9. 42 indexed citations
6.
Zhao, Shuai, et al.. (2018). Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform. 841–846. 24 indexed citations
7.
Borcea, Cristian, Manoop Talasila, & Reza Curtmola. (2016). Mobile Crowdsensing. 4 indexed citations
8.
Talasila, Manoop, Reza Curtmola, & Cristian Borcea. (2016). Crowdsensing in the Wild with Aliens and Micropayments. IEEE Pervasive Computing. 15(1). 68–77. 18 indexed citations
9.
Talasila, Manoop. (2015). Location reliability and gamification mechanisms for mobile crowd sensing. 3 indexed citations
10.
Talasila, Manoop, Reza Curtmola, & Cristian Borcea. (2014). Collaborative Bluetooth-based location authentication on smart phones. Pervasive and Mobile Computing. 17. 43–62. 11 indexed citations
11.
Talasila, Manoop, Reza Curtmola, & Cristian Borcea. (2014). Alien vs. Mobile User Game: Fast and Efficient Area Coverage in Crowdsensing. 11 indexed citations
12.
Talasila, Manoop, Reza Curtmola, & Cristian Borcea. (2013). ILR. RePEc: Research Papers in Economics. 9(4). 65–85. 8 indexed citations
13.
Talasila, Manoop, Reza Curtmola, & Cristian Borcea. (2013). Improving location reliability in crowd sensed data with minimal efforts. 42. 1–8. 32 indexed citations
14.
Cardone, Giuseppe, Luca Foschini, Paolo Bellavista, et al.. (2013). Fostering participaction in smart cities: a geo-social crowdsensing platform. IEEE Communications Magazine. 51(6). 112–119. 223 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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