Anita Sarma
- Information Systems top 0.2%
- Computer Science Applications top 0.1%
- Artificial Intelligence top 2%
- Communication top 1%
- Human-Computer Interaction top 1%
- Co-authors
- André van der HoekZahra NorooziIgor SteinmacherMarco Aurélio GerosaDavid RedmilesPatrick WagstromBianca TrinkenreichMargaret Burnett
- Topics
- Software Engineering Research (75 papers)Open Source Software Innovations (57 papers)Software Engineering Techniques and Practices (46 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMIEEE Transactions on Software Engineering
- Partner nations
- United StatesBrazilIndia
In The Last Decade
Anita Sarma
121 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 78
- Information Systems 1.8k
- Computer Science Applications 1.1k
- Artificial Intelligence 527
- Communication 390
- Human-Computer Interaction 264
Countries citing papers authored by Anita Sarma
This map shows the geographic impact of Anita Sarma'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 Anita Sarma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anita Sarma more than expected).
Fields of papers citing papers by Anita Sarma
This network shows the impact of papers produced by Anita Sarma. 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 Anita Sarma. The network helps show where Anita Sarma may publish in the future.
Co-authorship network of co-authors of Anita Sarma
This figure shows the co-authorship network connecting the top 25 collaborators of Anita Sarma. A scholar is included among the top collaborators of Anita Sarma 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 Anita Sarma. Anita Sarma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 53 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | Towards an IDE to Support Programming as Problem-Solving. | 3 |
| 12 | 22 | |
| 13 | Proceedings of the Eighth International Workshop on Cooperative and Human Aspects of Software Engineering | 8 |
| 14 | 38 | |
| 15 | 19 | |
| 16 | 84 | |
| 17 | Continuous coordination a new paradigm to support globally distributed software development projects | 54 |
| 18 | 16 | |
| 19 | 186 | |
| 20 | 85 |
About Anita Sarma
Anita Sarma is a scholar working on Computer Science Applications, Information Systems and Software, having authored 130 papers that have together received 2.4k indexed citations. Recurring topics across this work include Software Engineering Research (75 papers), Open Source Software Innovations (57 papers) and Software Engineering Techniques and Practices (46 papers). The work is most often cited by research in Computer Science Applications (1.1k citations), Information Systems (1.8k citations) and Software (261 citations). Anita Sarma has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include André van der Hoek, Zahra Noroozi, Igor Steinmacher, Marco Aurélio Gerosa, David Redmiles, Patrick Wagstrom, Bianca Trinkenreich, Margaret Burnett, Sandeep Kaur Kuttal and Igor Wiese. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Transactions on Software Engineering.
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.