Atif Mashkoor

995 citations
61 papers · 375 indexed · h-index 11
Topics
Software Engineering Research (23 papers)Advanced Software Engineering Methodologies (22 papers)Model-Driven Software Engineering Techniques (15 papers)
Partner nations
AustriaPakistanFrance

In The Last Decade

Atif Mashkoor

57 papers receiving 362 citations

Peers

Atif Mashkoor
Comparison fields: 5 of 74
  • Information Systems 159
  • Software 156
  • Artificial Intelligence 133
  • Computational Theory and Mathematics 71
  • Computer Networks and Communications 59
Replace Alessio Bucaioni with:
Alessio Bucaioni Sweden
Matteo Rossi Italy
Panagiotis Katsaros Greece
Kristina Lundqvist Sweden
Pierre de Saqui‐Sannes France
Diego Pérez-Palacín Italy
V. Stavridou United Kingdom
Lutz Wrage United States
Daniel Sundmark Sweden
Ridha Khédri Canada
Atif Mashkoor relative to Alessio Bucaioni Sweden Alessio Bucaioni's profile →
Citations per field
00.5×4.3×
Alessio Bucaioni · 1×
Citations per year

Countries citing papers authored by Atif Mashkoor

Since Specialization
Citations

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

Fields of papers citing papers by Atif Mashkoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atif Mashkoor

This figure shows the co-authorship network connecting the top 25 collaborators of Atif Mashkoor. A scholar is included among the top collaborators of Atif Mashkoor 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 Atif Mashkoor. Atif Mashkoor 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
#WorkIndexed citations
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Abstract State Machines, Alloy, B, TLA, VDM, and Z: 5th International Conference, ABZ 2016, Linz, Austria, May 23-27, 2016, Proceedings
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About Atif Mashkoor

Atif Mashkoor is a scholar working on Software, Information Systems and Computational Theory and Mathematics, having authored 61 papers that have together received 375 indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Advanced Software Engineering Methodologies (22 papers) and Model-Driven Software Engineering Techniques (15 papers). The work is most often cited by research in Software (156 citations), Information Systems (159 citations) and Safety, Risk, Reliability and Quality (46 citations). Atif Mashkoor has collaborated with scholars based in Austria, Pakistan and France. Frequent co-authors include Alexander Egyed, Angelo Gargantini, Christoph Mayr‐Dorn, Silvia Bonfanti, Jean‐Pierre Jacquot, Miklós Bíró, Johannes Sametinger, Paolo Arcaini, Saif Ur Rehman Khan and Basit Shahzad. Their work appears in journals such as IEEE Access, Computer and Applied Soft Computing.

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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