Frank Montgomery

53 total papers · 668 total citations
28 papers, 447 citations indexed

About

Frank Montgomery is a scholar working on Transportation, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Frank Montgomery has authored 28 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Transportation, 11 papers in Control and Systems Engineering and 10 papers in Building and Construction. Recurrent topics in Frank Montgomery's work include Transportation Planning and Optimization (14 papers), Traffic control and management (11 papers) and Traffic Prediction and Management Techniques (10 papers). Frank Montgomery is often cited by papers focused on Transportation Planning and Optimization (14 papers), Traffic control and management (11 papers) and Traffic Prediction and Management Techniques (10 papers). Frank Montgomery collaborates with scholars based in United Kingdom, Indonesia and United States. Frank Montgomery's co-authors include Susan Grant‐Muller, Lorenzo Mussone, Haibo Chen, Ronghui Liu, Miles Tight, Jiao Wang, Spencer Smith, Charles L. Cooney, Rapti D. Madurawe and Jean‐Louis Robert and has published in prestigious journals such as Journal of Pharmaceutical Sciences, Accident Analysis & Prevention and Transportation Research Part A Policy and Practice.

In The Last Decade

Frank Montgomery

26 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Frank Montgomery	196	177	164	84	66	28	447
Ajith Muralidharan	255 1.3×	201 1.1×	201 1.2×	21 0.3×	37 0.6×	31	441
Bing Liu	229 1.2×	102 0.6×	81 0.5×	56 0.7×	162 2.5×	35	425
Xiaoming Liu	143 0.7×	76 0.4×	76 0.5×	31 0.4×	128 1.9×	42	459
Chengwei Su	84 0.4×	59 0.3×	89 0.5×	29 0.3×	14 0.2×	37	477
Sven Maerivoet	343 1.8×	256 1.4×	202 1.2×	24 0.3×	101 1.5×	24	499
Fan Yang	101 0.5×	219 1.2×	141 0.9×	44 0.5×	73 1.1×	36	426
Werner Kraus	321 1.6×	268 1.5×	149 0.9×	25 0.3×	177 2.7×	43	495
Zhaoyang Ai	180 0.9×	32 0.2×	39 0.2×	12 0.1×	170 2.6×	33	547
Yunpeng Wang	292 1.5×	93 0.5×	116 0.7×	77 0.9×	189 2.9×	31	414
Yiming Gu	52 0.3×	146 0.8×	170 1.0×	38 0.5×	44 0.7×	31	421

Countries citing papers authored by Frank Montgomery

Since Specialization

Citations

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

Fields of papers citing papers by Frank Montgomery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Montgomery

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Montgomery. A scholar is included among the top collaborators of Frank Montgomery 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 Frank Montgomery. Frank Montgomery 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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