Chris Cassir

14 total papers · 459 total citations
8 papers, 334 citations indexed

About

Chris Cassir is a scholar working on Transportation, Management Science and Operations Research and Building and Construction. According to data from OpenAlex, Chris Cassir has authored 8 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Transportation, 3 papers in Management Science and Operations Research and 3 papers in Building and Construction. Recurrent topics in Chris Cassir's work include Transportation Planning and Optimization (5 papers), Advanced Queuing Theory Analysis (2 papers) and Game Theory and Voting Systems (2 papers). Chris Cassir is often cited by papers focused on Transportation Planning and Optimization (5 papers), Advanced Queuing Theory Analysis (2 papers) and Game Theory and Voting Systems (2 papers). Chris Cassir collaborates with scholars based in United Kingdom and United States. Chris Cassir's co-authors include Michael G.H. Bell, Michael G H Bell, Yasunori Iida, William H. K. Lam and Douglas J. Parker and has published in prestigious journals such as Transportation Research Part B Methodological, Traffic engineering & control and IFAC Proceedings Volumes.

In The Last Decade

Chris Cassir

8 papers receiving 310 citations

Author Peers

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

Author Last Decade Papers Cites
Chris Cassir 261 130 68 68 51 8 334
Paramet Luathep 234 0.9× 116 0.9× 83 1.2× 64 0.9× 78 1.5× 21 366
Masuo Kashiwadani 252 1.0× 129 1.0× 35 0.5× 155 2.3× 54 1.1× 24 344
Y Asakura 258 1.0× 128 1.0× 46 0.7× 141 2.1× 55 1.1× 26 337
Guanwen Zeng 157 0.6× 95 0.7× 91 1.3× 91 1.3× 18 0.4× 12 366
Hossein Soroush 258 1.0× 128 1.0× 10 0.1× 63 0.9× 56 1.1× 12 376
Seyyed-Nader Shetab-Boushehri 148 0.6× 51 0.4× 23 0.3× 68 1.0× 31 0.6× 10 316
Suresh Nama 167 0.6× 80 0.6× 48 0.7× 80 1.2× 87 1.7× 7 340
Earl E. Lee 61 0.2× 154 1.2× 224 3.3× 51 0.8× 59 1.2× 11 384
Abdolsalam Ghaderi 72 0.3× 91 0.7× 13 0.2× 67 1.0× 25 0.5× 20 397
Ch. Ravi Sekhar 262 1.0× 37 0.3× 29 0.4× 113 1.7× 66 1.3× 22 363

Countries citing papers authored by Chris Cassir

Since Specialization
Citations

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

Fields of papers citing papers by Chris Cassir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Cassir

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