Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Short-Term Prediction of Traffic Volume in Urban Arterials
1995422 citationsMohammad M. Hamed, Hashem R. Al‐Masaeid et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Mohammad M. Hamed
Since
Specialization
Citations
This map shows the geographic impact of Mohammad M. Hamed'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 Mohammad M. Hamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad M. Hamed more than expected).
Fields of papers citing papers by Mohammad M. Hamed
This network shows the impact of papers produced by Mohammad M. Hamed. 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 Mohammad M. Hamed. The network helps show where Mohammad M. Hamed may publish in the future.
Co-authorship network of co-authors of Mohammad M. Hamed
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad M. Hamed.
A scholar is included among the top collaborators of Mohammad M. Hamed 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 Mohammad M. Hamed. Mohammad M. Hamed is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hamed, Mohammad M., et al.. (2000). Bus drivers' self-assessed risk and passengers' opinions toward them: some empirical evidence. 28. 38–46.2 indexed citations
12.
Hamed, Mohammad M.. (1999). MODELLING THE DEMAND FOR TAXICAB SERVICES.. Road and transport research.2 indexed citations
13.
Hamed, Mohammad M., et al.. (1998). THE IMPACT OF PERCEIVED RISK ON URBAN COMMUTERS' ROUTE CHOICES. Road and transport research. 7(4). 46–62.5 indexed citations
Hamed, Mohammad M., et al.. (1997). MODELLING VEHICLE-TIME HEADWAYS IN URBAN MULTILANE HIGHWAYS. Road and transport research. 6(4).1 indexed citations
16.
Al‐Masaeid, Hashem R., et al.. (1995). CONSISTENCY OF HORIZONTAL ALIGNMENT FOR DIFFERENT VEHICLE CLASSES. Transportation Research Record Journal of the Transportation Research Board. 178–183.44 indexed citations
17.
Al‐Masaeid, Hashem R., Mohammad M. Hamed, & Taisir Khedaywi. (1994). EMPIRICAL EVALUATION OF OLIVE HUSK IN ASPHALT CEMENT BINDER AND BITUMINOUS CONCRETE. Transportation Research Record Journal of the Transportation Research Board. 124–132.13 indexed citations
18.
Hamed, Mohammad M., et al.. (1994). Traffic accidents frequency and the human factor. 22(1). 53–59.1 indexed citations
19.
Nihan, N L & Mohammad M. Hamed. (1992). FIXED-POINT APPROACH TO ESTIMATING FREEWAY ORIGIN-DESTINATION MATRICES AND THE EFFECT OF ERRONEOUS DATA ON ESTIMATE PRECISION. Transportation Research Record Journal of the Transportation Research Board.15 indexed citations
20.
Davis, Gary A., et al.. (1990). ADAPTIVE FORECASTING OF FREEWAY TRAFFIC CONGESTION. Transportation Research Record Journal of the Transportation Research Board.63 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.