Flora D. Salim

4.9k total citations · 1 hit paper
199 papers, 2.6k citations indexed

About

Flora D. Salim is a scholar working on Transportation, Building and Construction and Artificial Intelligence. According to data from OpenAlex, Flora D. Salim has authored 199 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Transportation, 52 papers in Building and Construction and 46 papers in Artificial Intelligence. Recurrent topics in Flora D. Salim's work include Human Mobility and Location-Based Analysis (49 papers), Traffic Prediction and Management Techniques (26 papers) and Data Management and Algorithms (23 papers). Flora D. Salim is often cited by papers focused on Human Mobility and Location-Based Analysis (49 papers), Traffic Prediction and Management Techniques (26 papers) and Data Management and Algorithms (23 papers). Flora D. Salim collaborates with scholars based in Australia, United States and China. Flora D. Salim's co-authors include Hao Xue, Wei Shao, Margaret Hamilton, Mohammad Saiedur Rahaman, Yongli Ren, Nan Gao, Jeffrey Chan, Jane Burry, Miṅ Gu and Hamid Menouar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Applied Energy.

In The Last Decade

Flora D. Salim

182 papers receiving 2.5k citations

Hit Papers

PromptCast: A New Prompt-Based Learning Paradigm for Time... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flora D. Salim Australia 27 762 541 468 453 400 199 2.6k
Martin Raubal Switzerland 35 442 0.6× 436 0.8× 544 1.2× 1.1k 2.5× 367 0.9× 171 3.6k
Jianping Wu China 32 781 1.0× 361 0.7× 296 0.6× 822 1.8× 374 0.9× 222 3.2k
Xiangmo Zhao China 35 822 1.1× 370 0.7× 755 1.6× 939 2.1× 946 2.4× 282 4.7k
Liang Liu China 27 314 0.4× 570 1.1× 280 0.6× 679 1.5× 645 1.6× 197 3.0k
Paolo Nesi Italy 27 373 0.5× 610 1.1× 700 1.5× 342 0.8× 305 0.8× 240 3.3k
Jiaqi Ma United States 33 800 1.0× 326 0.6× 734 1.6× 1.3k 2.8× 774 1.9× 177 4.3k
Zhigang Xu China 29 455 0.6× 177 0.3× 408 0.9× 553 1.2× 520 1.3× 140 3.1k
Petteri Nurmi Finland 27 149 0.2× 283 0.5× 659 1.4× 538 1.2× 684 1.7× 155 2.7k
Yilun Lin China 17 483 0.6× 441 0.8× 367 0.8× 247 0.5× 229 0.6× 46 2.1k
Anand Paul South Korea 36 471 0.6× 973 1.8× 941 2.0× 384 0.8× 966 2.4× 168 4.8k

Countries citing papers authored by Flora D. Salim

Since Specialization
Citations

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

Fields of papers citing papers by Flora D. Salim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flora D. Salim. 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 Flora D. Salim. The network helps show where Flora D. Salim may publish in the future.

Co-authorship network of co-authors of Flora D. Salim

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

All Works

20 of 20 papers shown
1.
Xue, Hao, Ming Jin, Shirui Pan, & Flora D. Salim. (2025). Transforming Urban Dynamics: Harnessing Large Language Models for Smarter Mobility. IEEE Intelligent Systems. 40(2). 5–7. 4 indexed citations
2.
Hettiachchi, Danula, et al.. (2025). Watch Out! E-scooter Coming Through!: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders' Ego-centric Views. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(1). 1–23.
3.
Liang, Yuxuan, Haomin Wen, Ming Jin, et al.. (2025). Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. 6063–6073. 4 indexed citations
4.
Wang, Zhaonan, Renhe Jiang, Hao Xue, et al.. (2024). Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. Artificial Intelligence. 335. 104120–104120. 5 indexed citations
5.
Spathis, Dimitris, et al.. (2024). CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. 152–160. 7 indexed citations
6.
Tag, Benjamin, et al.. (2024). Advancing Physiological Methods for Human-Information Interaction. Monash University Research Portal (Monash University). 976–979. 1 indexed citations
7.
Sokol, Kacper, Meelis Kull, Jeffrey Chan, & Flora D. Salim. (2024). Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity. 1(3). 1–27.
8.
Shao, Wei, et al.. (2024). Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems. Proceedings of the Genetic and Evolutionary Computation Conference. 759–767.
9.
Rijke, Maarten de, et al.. (2024). Large Language Models for Next Point-of-Interest Recommendation. arXiv (Cornell University). 1463–1472. 21 indexed citations
11.
Xue, Hao, et al.. (2023). Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). Data Mining and Knowledge Discovery. 38(3). 913–937. 7 indexed citations
12.
Duckham, Matt, et al.. (2023). Qualitative spatial reasoning with uncertain evidence using Markov logic networks. International Journal of Geographical Information Systems. 37(9). 2067–2100. 3 indexed citations
13.
Spina, Damiano, et al.. (2023). Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. arXiv (Cornell University). 1971–1975. 6 indexed citations
14.
Hettiachchi, Danula, et al.. (2023). How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 11(1). 38–50. 2 indexed citations
15.
Ren, Yongli, et al.. (2023). Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. ACM Transactions on Spatial Algorithms and Systems. 9(2). 1–22. 4 indexed citations
16.
Hamdi, Ali, et al.. (2022). Spatiotemporal data mining: a survey on challenges and open problems. RMIT Research Repository (RMIT University Library). 77 indexed citations
17.
Rahaman, Mohammad Saiedur, Johanne R. Trippas, Damiano Spina, et al.. (2022). Imagining future digital assistants at work: A study of task management needs. International Journal of Human-Computer Studies. 168. 102905–102905. 4 indexed citations
18.
Hamdi, Ali, Flora D. Salim, Du Yong Kim, Azadeh Ghari Neiat, & Athman Bouguettaya. (2021). Drone-as-a-Service Composition Under Uncertainty. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 26 indexed citations
19.
Hamdi, Ali, Flora D. Salim, & Du Yong Kim. (2020). DroTrack: High-speed Drone-based Object Tracking Under Uncertainty. RMIT Research Repository (RMIT University Library). 10 indexed citations
20.
Trippas, Johanne R., Damiano Spina, Mohammad Saiedur Rahaman, et al.. (2019). Building a Benchmark for Task Progress in Digital Assistants. RMIT Research Repository (RMIT University Library). 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026