Smita Ghaisas

648 total citations
50 papers, 380 citations indexed

About

Smita Ghaisas is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Smita Ghaisas has authored 50 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Information Systems, 26 papers in Artificial Intelligence and 7 papers in Management Information Systems. Recurrent topics in Smita Ghaisas's work include Software Engineering Research (27 papers), Software Engineering Techniques and Practices (25 papers) and Advanced Software Engineering Methodologies (12 papers). Smita Ghaisas is often cited by papers focused on Software Engineering Research (27 papers), Software Engineering Techniques and Practices (25 papers) and Advanced Software Engineering Methodologies (12 papers). Smita Ghaisas collaborates with scholars based in India, Netherlands and United States. Smita Ghaisas's co-authors include Maya Daneva, Roel Wieringa, Klaas Sikkel, Nirav Ajmeri, Chintan Amrit, Ramesh Kumar, Vivek Joshi, Jane Cleland‐Huang, Michael Vierhauser and Manish Kumar and has published in prestigious journals such as Scientific Reports, IEEE Software and Journal of Systems and Software.

In The Last Decade

Smita Ghaisas

43 papers receiving 357 citations

Peers

Smita Ghaisas
Comparison fields: 5 of 50
  • Information Systems 314
  • Artificial Intelligence 134
  • Management Information Systems 66
  • Computer Networks and Communications 61
  • Software 51
Replace Mārīte Kirikova with:
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A.M. Davis United States
Mārīte Kirikova Latvia View profile →
Citations per field, relative to Smita Ghaisas
Smita Ghaisas · 1×
Citations per year, relative to Smita Ghaisas
Smita Ghaisas · 1×

Countries citing papers authored by Smita Ghaisas

Since Specialization
Citations

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

Fields of papers citing papers by Smita Ghaisas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smita Ghaisas

This figure shows the co-authorship network connecting the top 25 collaborators of Smita Ghaisas. A scholar is included among the top collaborators of Smita Ghaisas 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 Smita Ghaisas. Smita Ghaisas 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
# Work Indexed citations
1 2
2 0
3 0
4 0
5 1
6 2
7 2
8 1
9
Towards Disambiguating Contracts for their Successful Execution - A Case from Finance Domain
3
10 5
11 5
12 11
13 4
14 1
15 3
16 18
17 1
18 12
19 8
20 6

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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