Mark S. Dougherty

82 papers receiving 2.5k citations

Mark S. Dougherty's Hit Papers

Combining kohonen maps with arima time series models to forecast traffic flow 1996 · 716 citations
7160+10+20Years since publication200400600

Peers

Mark S. Dougherty
Comparison fields: 5 of 130
  • Transportation 1.1k
  • Building and Construction 1.4k
  • Control and Systems Engineering 864
  • Signal Processing 318
  • Automotive Engineering 267
Replace Latifa Oukhellou with:
Latifa Oukhellou France
Wei Hao China
Kun Xie United States
Isaac Skog Sweden
Weining Liu China
Yuankai Wu China
Kitae Jang South Korea
Chao Song China
Jianmin Xu China
Darcy Michael Bullock United States
Mark S. Dougherty relative to Latifa Oukhellou France Latifa Oukhellou's profile →
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Countries citing papers authored by Mark S. Dougherty

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Dougherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Dougherty. 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 Mark S. Dougherty. The network helps show where Mark S. Dougherty may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark S. Dougherty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark S. Dougherty Line = papers co-authored together Mark S. Dougherty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Combining kohonen maps with arima time series models to forecast traffic flow
Hit paper breakdown →
1996716
2 1995331
3 1997229
4 1997178
5 2001134
6 201070
7 201370
8 201370
9
THE USE OF NEURAL NETWORKS TO RECOGNISE AND PREDICT TRAFFIC CONGESTION
199365
10
Road and traffic sign detection and recognition
200558
11 200852
12 199749
13 200946
14
THE USE OF NEURAL NETWORKS AND TIME SERIES MODELS FOR SHORT TERM TRAFFIC FORECASTING: A COMPARATIVE STUDY
199342
15 201338
16 201629
17 201127
18 201326
19 200626
20 200724

About Mark S. Dougherty

Mark S. Dougherty is a scholar working on Building and Construction, Transportation, Signal Processing, Neurology and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (15 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Neural Networks and Applications (10 papers), Transportation Planning and Optimization (8 papers), Infrastructure Maintenance and Monitoring (7 papers), Remote Sensing and LiDAR Applications (6 papers), Image and Object Detection Techniques (6 papers) and Geophysical Methods and Applications (5 papers). The work is most often cited by research in Transportation (1.1k citations), Building and Construction (1.4k citations), Control and Systems Engineering (864 citations), Signal Processing (318 citations) and Automotive Engineering (267 citations). Mark S. Dougherty has collaborated with scholars based in Sweden, United Kingdom and Netherlands. Frequent co-authors include Susan Mary Watson, Mascha C. van der Voort, Jerker Westin, Howard R. Kirby, Taha Khan, Hasan A. Fleyeh, Dag Nyholm, M.F.A.M. van Maarseveen, H R Kirby and Torgny Groth. Their work appears in journals such as Transportation Research Part C Emerging Technologies, European Journal of Neurology, Insight - Non-Destructive Testing and Condition Monitoring, Journal of Applied Biomedicine and International Journal of Forecasting.

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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