Shiva Nejati

3.1k citations
86 papers · 1.9k indexed · h-index 25
Topics
Software Testing and Debugging Techniques (33 papers)Advanced Software Engineering Methodologies (30 papers)Software Reliability and Analysis Research (28 papers)
Partner nations
LuxembourgCanadaNorway

In The Last Decade

Shiva Nejati

81 papers receiving 1.9k citations

Peers

Shiva Nejati
Comparison fields: 5 of 71
  • Software 1.1k
  • Information Systems 868
  • Artificial Intelligence 756
  • Computer Networks and Communications 355
  • Computational Theory and Mathematics 260
Replace Patrizio Pelliccione with:
Patrizio Pelliccione Italy
Martin Leucker Germany
Dániel Varró Hungary
Thorsten Berger Germany
Holger Giese Germany
Matthias Tichy Germany
Antonia Bertolino Italy
Lars Grunske Germany
Werner Damm Germany
Sam Malek United States
Shiva Nejati relative to Patrizio Pelliccione Italy Patrizio Pelliccione's profile →
Citations per field
00.5×1.7×
Patrizio Pelliccione · 1×
Citations per year

Countries citing papers authored by Shiva Nejati

Since Specialization
Citations

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

Fields of papers citing papers by Shiva Nejati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiva Nejati

This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Nejati. A scholar is included among the top collaborators of Shiva Nejati 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 Shiva Nejati. Shiva Nejati 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
1 3
2 0
3 1
4 1
5 1
6 1
7 0
8 11
9 4
10 33
11 14
12 5
13 5
14 22
15 19
16 11
17 18
18 52
19 7
20 26

About Shiva Nejati

Shiva Nejati is a scholar working on Software, Hardware and Architecture and Computational Theory and Mathematics, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (33 papers), Advanced Software Engineering Methodologies (30 papers) and Software Reliability and Analysis Research (28 papers). The work is most often cited by research in Software (1.1k citations), Information Systems (868 citations) and Artificial Intelligence (756 citations). Shiva Nejati has collaborated with scholars based in Luxembourg, Canada and Norway. Frequent co-authors include Lionel Briand, Mehrdad Sabetzadeh, Raja Ben Abdessalem, Marsha Chećhik, Thomas Stifter, Steve Easterbrook, Reza Matinnejad, Pamela Zave, Domenico Bianculli and Annibale Panichella. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Software and Journal of Systems and Software.

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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