Ali K. Raz

50 papers receiving 345 citations

Peers

Ali K. Raz
Comparison fields: 5 of 65
  • Safety, Risk, Reliability and Quality 96
  • Management Science and Operations Research 103
  • Control and Systems Engineering 163
  • Management of Technology and Innovation 30
  • Software 13
Replace Simon R. Goerger with:
Simon R. Goerger United States
Matthew Hause United States
Mahmoud Efatmaneshnik Australia
Danling Zhao China
Zaharah Bukhsh Netherlands
B. Beldjilali Algeria
Velusamy Subramaniam Singapore
Siegfried Vössner Austria
Vijitashwa Pandey United States
Thomas Holzer United States
Ali K. Raz relative to Simon R. Goerger United States Simon R. Goerger's profile →
Citations per field
00.5×2.8×
Simon R. Goerger · 1×
Citations per year

Countries citing papers authored by Ali K. Raz

Since Specialization
Citations

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

Fields of papers citing papers by Ali K. Raz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali K. Raz. 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 Ali K. Raz. The network helps show where Ali K. Raz may publish in the future.

Co-authors

The 25 scholars most cited alongside Ali K. Raz, 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 Ali K. Raz Line = papers co-authored together Ali K. Raz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201836
2 201633
3 202221
4 202018
5 202117
6 201814
7 202013
8 202012
9 201912
10 201912
11 202111
12 202011
13 201710
14 201810
15 20239
16 20199
17 20198
18 20147
19 20157
20 20227

About Ali K. Raz

Ali K. Raz is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Management Science and Operations Research, Artificial Intelligence and Aerospace Engineering, having authored 56 papers that have together received 356 indexed citations. Recurring topics across this work include Systems Engineering Methodologies and Applications (29 papers), Technology Assessment and Management (20 papers), Complex Systems and Decision Making (18 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Cognitive Science and Mapping (5 papers), Product Development and Customization (5 papers), Risk and Safety Analysis (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (96 citations), Management Science and Operations Research (103 citations), Control and Systems Engineering (163 citations), Management of Technology and Innovation (30 citations) and Software (13 citations). Ali K. Raz has collaborated with scholars based in United States, South Sudan and China. Frequent co-authors include Daniel DeLaurentis, C. Robert Kenley, Cesare Guariniello, Erik Blasch, Linas Mockus, James Llinas, Sriraam Natarajan, Ranjeev Mittu, William F. Lawless and Vivek A. Sujan. Their work appears in journals such as Systems Engineering, IEEE Transactions on Aerospace and Electronic Systems, Transportation Research Part D Transport and Environment, Information Fusion and IEEE Systems Journal.

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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