Sina Dabiri

811 citations
8 papers · 575 indexed · 1 hit paper · h-index 6
Topics
Traffic Prediction and Management Techniques (5 papers)Human Mobility and Location-Based Analysis (4 papers)Web Data Mining and Analysis (2 papers)
Partner nations
United States

In The Last Decade

Sina Dabiri

7 papers receiving 559 citations

Hit Papers

Inferring transportation modes from GPS trajectories usin...2017202620202023201750100150200250

Peers

Sina Dabiri
Comparison fields: 5 of 73
  • Transportation 324
  • Building and Construction 285
  • Artificial Intelligence 114
  • Signal Processing 101
  • Ocean Engineering 79
Replace Leon Stenneth with:
Leon Stenneth United States
Tianfu He China
Kun Ouyang China
George Rosario Jagadeesh Singapore
Zhaosheng Yang China
Wasan Pattara­-Atikom Thailand
Iulian Sandu Popa France
Yitian Jia China
Nikola Marković United States
Kristian Torp Denmark
Sina Dabiri relative to Leon Stenneth United States Leon Stenneth's profile →
Citations per field
00.5×
Leon Stenneth · 1×
Citations per year

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

8 of 8 papers shown
#WorkIndexed citations
1 0
2 45
3 105
4 6
5 101
6 3
7
Inferring transportation modes from GPS trajectories using a convolutional neural networkbreakdown →
287
8 28

About Sina Dabiri

Sina Dabiri is a scholar working on Transportation, Building and Construction and Signal Processing, having authored 8 papers that have together received 575 indexed citations. Recurring topics across this 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). The work is most often cited by research in Transportation (324 citations), Building and Construction (285 citations) and Signal Processing (101 citations). Sina Dabiri has collaborated with scholars based in United States. Frequent co-authors include Kevin Heaslip, Chandan K. Reddy, Chang‐Tien Lu, Montasir Abbas, Nikola Marković, Naren Ramakrishnan, Michael Eichler, Qiao Li, Peter A. Noseworthy and Joel Xue. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Transportation Research Part C Emerging Technologies.

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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