Sina Dabiri

13 total papers · 803 total citations
8 papers, 568 citations indexed

About

Sina Dabiri is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Sina Dabiri has authored 8 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Transportation, 5 papers in Building and Construction and 2 papers in Control and Systems Engineering. Recurrent topics in Sina Dabiri's work include Traffic Prediction and Management Techniques (5 papers), Human Mobility and Location-Based Analysis (4 papers) and Web Data Mining and Analysis (2 papers). Sina Dabiri is often cited by papers focused on Traffic Prediction and Management Techniques (5 papers), Human Mobility and Location-Based Analysis (4 papers) and Web Data Mining and Analysis (2 papers). Sina Dabiri collaborates with scholars based in United States. Sina Dabiri's co-authors include Kevin Heaslip, Chandan K. Reddy, Chang‐Tien Lu, Montasir Abbas, Nikola Marković, Michael Eichler, Naren Ramakrishnan, Joel Xue, Qiao Li and Peter A. Noseworthy and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Transportation Research Part C Emerging Technologies.

In The Last Decade

Sina Dabiri

7 papers receiving 554 citations

Hit Papers

Inferring transportation ... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sina Dabiri 320 283 112 101 77 8 568
Bei Pan 337 1.1× 286 1.0× 118 1.1× 141 1.4× 32 0.4× 8 534
Leon Stenneth 397 1.2× 274 1.0× 73 0.7× 98 1.0× 35 0.5× 17 605
Hongjian Wang 396 1.2× 262 0.9× 124 1.1× 101 1.0× 24 0.3× 15 621
Dingxiong Deng 230 0.7× 145 0.5× 122 1.1× 113 1.1× 33 0.4× 12 562
Tianfu He 280 0.9× 212 0.7× 56 0.5× 169 1.7× 67 0.9× 20 515
Liangzhe Han 216 0.7× 339 1.2× 101 0.9× 100 1.0× 28 0.4× 15 521
Zheyi Pan 363 1.1× 492 1.7× 122 1.1× 180 1.8× 19 0.2× 12 681
Haitao Yuan 194 0.6× 234 0.8× 196 1.8× 193 1.9× 29 0.4× 19 567
Songyu Ke 164 0.5× 255 0.9× 104 0.9× 136 1.3× 14 0.2× 8 526
Sotiris Brakatsoulas 179 0.6× 189 0.7× 48 0.4× 362 3.6× 146 1.9× 7 503

Countries citing papers authored by Sina Dabiri

Since Specialization
Citations

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

Fields of papers citing papers by Sina Dabiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Dabiri

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

All Works

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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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