Vaishali Shah

917 citations
29 papers · 493 indexed · h-index 8
Topics
Transportation Planning and Optimization (11 papers)Traffic Prediction and Management Techniques (7 papers)Transportation and Mobility Innovations (4 papers)

In The Last Decade

Vaishali Shah

25 papers receiving 461 citations

Peers

Vaishali Shah
Comparison fields: 5 of 64
  • Critical Care and Intensive Care Medicine 329
  • Pulmonary and Respiratory Medicine 185
  • Radiology, Nuclear Medicine and Imaging 182
  • Transportation 75
  • Emergency Medicine 66
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Citations per field
00.5×6.7×
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Citations per year

Countries citing papers authored by Vaishali Shah

Since Specialization
Citations

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

Fields of papers citing papers by Vaishali Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaishali Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Vaishali Shah. A scholar is included among the top collaborators of Vaishali Shah 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 Vaishali Shah. Vaishali Shah 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
#WorkIndexed citations
1 2
2 2
3 0
4 1
5 0
6 2
7 7
8 3
9 16
10
Making the Business Case for Traffic Incident Management
2
11 5
12 7
13
Analysis, Modeling, and Simulation (AMS) Testbed Initial Screening Report
1
14 222
15 117
16 5
17
ANALYSIS OF WEATHER IMPACTS ON TRAFFIC FLOW IN METROPOLITAN WASHINGTON, DC
54
18
DETROIT FREEWAY CORRIDOR ITS EVALUATION
4
19 4
20
Incorporating ITS into Corridor Planning: Seattle Case Study
5

About Vaishali Shah

Vaishali Shah is a scholar working on Transportation, Critical Care and Intensive Care Medicine and Building and Construction, having authored 29 papers that have together received 493 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (11 papers), Traffic Prediction and Management Techniques (7 papers) and Transportation and Mobility Innovations (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (329 citations), Transportation (75 citations) and Radiology, Nuclear Medicine and Imaging (182 citations). Vaishali Shah has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include James W. Tsung, Michael G. Tunik, David Kessler, Ariel Dora Stern, Paul Pisano, Karl Wunderlich, Soojung Jung, Deepa Manwani, Joni E. Rabiner and Jessica Kurian. Their work appears in journals such as Ultrasound in Medicine & Biology, JAMA Pediatrics and Academic Emergency Medicine.

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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