Lida Rashidi

510 total citations
18 papers, 331 citations indexed

About

Lida Rashidi is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lida Rashidi has authored 18 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 7 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Lida Rashidi's work include Information Retrieval and Search Behavior (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). Lida Rashidi is often cited by papers focused on Information Retrieval and Search Behavior (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). Lida Rashidi collaborates with scholars based in Australia, Japan and United Kingdom. Lida Rashidi's co-authors include Mahsa Salehi, Bahram Khazaei, Sina Khatami, Zahra Kalantari, Changshan Wu, Kaveh Madani, Amir AghaKouchak, Hamed Alemohammad, Georgia Destouni and Kwan Hui Lim and has published in prestigious journals such as Journal of Hydrology, ACM Transactions on Information Systems and Lecture notes in computer science.

In The Last Decade

Lida Rashidi

15 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lida Rashidi Australia 7 149 88 85 55 49 18 331
Deng Deng Taiwan 9 141 0.9× 29 0.3× 67 0.8× 16 0.3× 14 0.3× 122 430
Quanyi Huang China 12 107 0.7× 14 0.2× 55 0.6× 45 0.8× 56 1.1× 36 304
Lianchong Zhang China 9 195 1.3× 16 0.2× 64 0.8× 23 0.4× 28 0.6× 27 435
Lazaros S. Iliadis Greece 12 118 0.8× 46 0.5× 98 1.2× 19 0.3× 37 0.8× 27 384
Michael Jackson United Kingdom 7 170 1.1× 59 0.7× 49 0.6× 31 0.6× 40 0.8× 24 415
Baoxuan Jin China 11 108 0.7× 42 0.5× 40 0.5× 12 0.2× 8 0.2× 27 353
Jurjen Wagemaker Netherlands 7 298 2.0× 86 1.0× 61 0.7× 122 2.2× 28 0.6× 9 499

Countries citing papers authored by Lida Rashidi

Since Specialization
Citations

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

Fields of papers citing papers by Lida Rashidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lida Rashidi

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

All Works

18 of 18 papers shown
1.
Rashidi, Lida, Justin Zobel, & Alistair Moffat. (2024). Query Variability and Experimental Consistency: A Concerning Case Study. 35–41.
2.
Rashidi, Lida, Justin Zobel, & Alistair Moffat. (2023). The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures. ACM Transactions on Information Systems. 42(1). 1–31. 1 indexed citations
3.
4.
Rashidi, Lida, Justin Zobel, & Alistair Moffat. (2021). Evaluating the Predictivity of IR Experiments. 1667–1671. 1 indexed citations
5.
Zobel, Justin & Lida Rashidi. (2020). Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures. 1933–1952. 4 indexed citations
6.
Rashidi, Lida, et al.. (2020). PRESS: A personalised approach for mining top-k groups of objects with subspace similarity. Data & Knowledge Engineering. 128. 101833–101833.
7.
Salehi, Mahsa & Lida Rashidi. (2018). A Survey on Anomaly detection in Evolving Data. 20(1). 1 indexed citations
8.
Lim, Kwan Hui, Eunah Lee, Dave Kendal, et al.. (2018). The Grass is Greener on the Other Side. UTAS Research Repository. 275–282. 24 indexed citations
9.
Khazaei, Bahram, Sina Khatami, Hamed Alemohammad, et al.. (2018). Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy. Journal of Hydrology. 569. 203–217. 191 indexed citations
10.
Phung, Dinh, et al.. (2018). Advances in Knowledge Discovery and Data Mining. Lecture notes in computer science. 13 indexed citations
11.
Phung, Dinh, et al.. (2018). Advances in Knowledge Discovery and Data Mining. Lecture notes in computer science. 3 indexed citations
12.
Yang, Meng, Lida Rashidi, Aravinda S. Rao, et al.. (2018). Cluster-Based Crowd Movement Behavior Detection. 74. 1–8. 8 indexed citations
13.
Rashidi, Lida, et al.. (2018). Trends and Applications in Knowledge Discovery and Data Mining. Lecture notes in computer science. 6 indexed citations
14.
Wang, Jia, et al.. (2018). Happiness is a Choice. 1401–1405. 6 indexed citations
15.
Yang, Meng, Lida Rashidi, Sutharshan Rajasegarar, et al.. (2018). Crowd Activity Change Point Detection in Videos via Graph Stream Mining. 104. 328–3288. 5 indexed citations
16.
Salehi, Mahsa & Lida Rashidi. (2018). A Survey on Anomaly detection in Evolving Data. ACM SIGKDD Explorations Newsletter. 20(1). 13–23. 59 indexed citations
17.
Khazaei, Bahram, et al.. (2016). Hydro-climatic Investigation of Lake Urmia Shrinkage using Remote Sensing. AGU Fall Meeting Abstracts. 2016. 3 indexed citations
18.
Rashidi, Lida, Sutharshan Rajasegarar, Christopher Leckie, et al.. (2014). Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring. View. 1–7. 6 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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2026