Michael G H Bell

1.3k total citations
22 papers, 885 citations indexed

About

Michael G H Bell is a scholar working on Transportation, Signal Processing and Automotive Engineering. According to data from OpenAlex, Michael G H Bell has authored 22 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Transportation, 8 papers in Signal Processing and 6 papers in Automotive Engineering. Recurrent topics in Michael G H Bell's work include Transportation Planning and Optimization (16 papers), Data Management and Algorithms (8 papers) and Transportation and Mobility Innovations (6 papers). Michael G H Bell is often cited by papers focused on Transportation Planning and Optimization (16 papers), Data Management and Algorithms (8 papers) and Transportation and Mobility Innovations (6 papers). Michael G H Bell collaborates with scholars based in United Kingdom, Germany and China. Michael G H Bell's co-authors include Qiang Meng, Yang Hu, Malcolm C. Pike, Klaus Bogenberger, Hai Yang, Ioannis Kaparias, K. S. Chan, Zhichun Li, William H. K. Lam and Yanyan Chen and has published in prestigious journals such as Communications of the ACM, Transportation Research Part B Methodological and Transportation Science.

In The Last Decade

Michael G H Bell

21 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael G H Bell United Kingdom 11 738 343 325 218 75 22 885
Joachim Wahle Germany 10 447 0.6× 380 1.1× 342 1.1× 92 0.4× 52 0.7× 18 634
Elmar Brockfeld Germany 11 540 0.7× 665 1.9× 370 1.1× 177 0.8× 26 0.3× 37 835
Aude Hofleitner United States 9 445 0.6× 299 0.9× 521 1.6× 61 0.3× 91 1.2× 20 670
Saif Eddin Jabari United States 16 520 0.7× 735 2.1× 457 1.4× 320 1.5× 45 0.6× 49 962
Sergey L. Klenov Russia 19 1.1k 1.5× 1.3k 3.7× 786 2.4× 172 0.8× 33 0.4× 42 1.4k
Vaya Dinopoulou Greece 9 735 1.0× 980 2.9× 626 1.9× 194 0.9× 18 0.2× 13 1.2k
Linjiang Zheng China 13 290 0.4× 264 0.8× 234 0.7× 121 0.6× 64 0.9× 57 674
Karl Petty United States 14 704 1.0× 532 1.6× 873 2.7× 67 0.3× 200 2.7× 34 1.1k
Gabriel Gomes United States 14 802 1.1× 979 2.9× 752 2.3× 203 0.9× 29 0.4× 41 1.2k
Dongfan Xie China 16 466 0.6× 672 2.0× 364 1.1× 530 2.4× 13 0.2× 71 1.2k

Countries citing papers authored by Michael G H Bell

Since Specialization
Citations

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

Fields of papers citing papers by Michael G H Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G H Bell. 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 Michael G H Bell. The network helps show where Michael G H Bell may publish in the future.

Co-authorship network of co-authors of Michael G H Bell

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G H Bell. A scholar is included among the top collaborators of Michael G H Bell 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 Michael G H Bell. Michael G H Bell 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
1.
Bell, Michael G H & Yuval Kochman. (2017). On composite binary hypothesis testing with training data. 60. 1026–1033. 2 indexed citations
2.
Kochman, Yuval & Michael G H Bell. (2016). The resolution of binary hypothesis testing. 60. 1–5. 1 indexed citations
3.
Bell, Michael G H, et al.. (2011). Learning User Preferences of Route Choice Using Fuzzy Decision Tree Induction. Transportation Research Board 90th Annual MeetingTransportation Research Board. 4 indexed citations
4.
Shimamoto, Hiroshi, Fumitaka Kurauchi, Jan‐Dirk Schmöcker, & Michael G H Bell. (2010). Transit Assignment Model Considering the Correlation of Vehicles' Arrival. Transportation Research Board 89th Annual MeetingTransportation Research Board. 1 indexed citations
5.
Lam, William H. K., K. S. Chan, Zhichun Li, & Michael G H Bell. (2010). A risk‐averse user equilibrium model for route choice problem in signal‐controlled networks. Journal of Advanced Transportation. 44(4). 219–230. 15 indexed citations
6.
Fonzone, Achille, et al.. (2010). Potentially optimal paths and route choice in networks with arc delays.. Edinburgh Napier Research Repository (Edinburgh Napier University). 1 indexed citations
7.
Chen, Yanyan, Michael G H Bell, & Klaus Bogenberger. (2010). Risk-Averse Autonomous Route Guidance by a Constrained A* Search. Journal of Intelligent Transportation Systems. 14(3). 188–196. 10 indexed citations
8.
Bell, Michael G H, et al.. (2010). Time-dependent Hyperstar algorithm for robust vehicle navigation in time-dependent stochastic road networks.. Research Output (Edinburgh Napier University). 2 indexed citations
9.
Bell, Michael G H. (2008). Hyperstar: A multi-path Astar algorithm for risk averse vehicle navigation. Transportation Research Part B Methodological. 43(1). 97–107. 95 indexed citations
10.
Bell, Michael G H, et al.. (2007). An adaptive route choice model by a rule-based approach for intelligent route guidance. ePrints Soton (University of Southampton). 2 indexed citations
11.
Bell, Michael G H, et al.. (2007). Adaptive Route Choice Model for Intelligent Route Guidance Using a Rule-Based Approach. Transportation Research Record Journal of the Transportation Research Board. 2000(1). 88–97. 8 indexed citations
12.
Yang, Hai & Michael G H Bell. (2007). Sensitivity Analysis of Network Traffic Equilibrium Revisited: The Corrected Approach. 31 indexed citations
13.
Bell, Michael G H, et al.. (2007). Learning user preferences of route choice behaviour for adaptive route guidance. IET Intelligent Transport Systems. 1(2). 159–166. 30 indexed citations
14.
Bell, Michael G H, et al.. (2005). Reliable pre-trip multi-path planning and dynamic adaptation for a centralized road navigation system. 3. 257–262. 18 indexed citations
15.
Meng, Qiang, Yang Hu, & Michael G H Bell. (2001). An equivalent continuously differentiable model and a locally convergent algorithm for the continuous network design problem. Transportation Research Part B Methodological. 35(1). 83–105. 192 indexed citations
16.
Bell, Michael G H. (1999). Traffic diversion due to motorway tolls. 1999. 3–3. 1 indexed citations
17.
Bell, Michael G H. (1995). Alternatives to Dial's logit assignment algorithm. Transportation Research Part B Methodological. 29(4). 287–295. 142 indexed citations
18.
Bell, Michael G H. (1991). The real time estimation of origin-destination flows in the presence of platoon dispersion. Transportation Research Part B Methodological. 25(2-3). 115–125. 124 indexed citations
19.
Bell, Michael G H, et al.. (1990). THE ROLE OF RTI IN COMBATTING CONGESTION. 1 indexed citations
20.
Bell, Michael G H & Malcolm C. Pike. (1966). Remark on algorithm 178 [E4] direct search. Communications of the ACM. 9(9). 684–685. 40 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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