Swapna Gottipati

994 total citations
63 papers, 557 citations indexed

About

Swapna Gottipati is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Swapna Gottipati has authored 63 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 25 papers in Artificial Intelligence and 18 papers in Computer Science Applications. Recurrent topics in Swapna Gottipati's work include Advanced Text Analysis Techniques (14 papers), Online Learning and Analytics (13 papers) and Sentiment Analysis and Opinion Mining (10 papers). Swapna Gottipati is often cited by papers focused on Advanced Text Analysis Techniques (14 papers), Online Learning and Analytics (13 papers) and Sentiment Analysis and Opinion Mining (10 papers). Swapna Gottipati collaborates with scholars based in Singapore, United States and China. Swapna Gottipati's co-authors include Jing Jiang, Venky Shankararaman, Minghui Qiu, David Lo, Yang Liu, Feida Zhu, Huiping Sun, Zhong Chen, Noah A. Smith and Payas Gupta and has published in prestigious journals such as Journal of the Association for Information Systems, Education and Information Technologies and International Journal of Educational Technology in Higher Education.

In The Last Decade

Swapna Gottipati

51 papers receiving 523 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Swapna Gottipati 308 296 212 75 31 63 557
Abejide Ade-Ibijola 430 1.4× 152 0.5× 217 1.0× 33 0.4× 13 0.4× 35 655
Norazah Yusof 138 0.4× 134 0.5× 180 0.8× 109 1.5× 23 0.7× 48 400
Bernardo Pereira Nunes 352 1.1× 181 0.6× 216 1.0× 24 0.3× 35 1.1× 74 524
Krishna Madhavan 211 0.7× 154 0.5× 336 1.6× 134 1.8× 18 0.6× 46 629
Ivana Bosnić 154 0.5× 431 1.5× 213 1.0× 40 0.5× 32 1.0× 36 587
Filippo Sciarrone 252 0.8× 272 0.9× 322 1.5× 124 1.7× 14 0.5× 65 656
Hussein Suleman 116 0.4× 220 0.7× 130 0.6× 124 1.7× 21 0.7× 68 499
Mirko Marras 259 0.8× 243 0.8× 102 0.5× 29 0.4× 59 1.9× 54 509
Trond Aalberg 86 0.3× 135 0.5× 83 0.4× 75 1.0× 36 1.2× 38 315
Christoph Rensing 122 0.4× 168 0.6× 159 0.8× 26 0.3× 18 0.6× 76 361

Countries citing papers authored by Swapna Gottipati

Since Specialization
Citations

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

Fields of papers citing papers by Swapna Gottipati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swapna Gottipati

This figure shows the co-authorship network connecting the top 25 collaborators of Swapna Gottipati. A scholar is included among the top collaborators of Swapna Gottipati 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 Swapna Gottipati. Swapna Gottipati 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
1.
Gottipati, Swapna, et al.. (2025). What students really think: unpacking AI ethics in educational assessments through a triadic framework. International Journal of Educational Technology in Higher Education. 22(1).
2.
Gottipati, Swapna, et al.. (2023). ExGen: Ready-To-Use Exercise Generation in Introductory Programming Courses. International Conference on Computers in Education. 2 indexed citations
3.
Gottipati, Swapna, et al.. (2023). Exploring Students' Adoption of ChatGPT as a Mentor for Undergraduate Computing Projects: PLS-SEM Analysis. International Conference on Computers in Education.
4.
Gottipati, Swapna, et al.. (2021). Information Systems Business Analytics Curriculum – Competencies from National Infocomm Skills Model and Job Listings. Journal of the Association for Information Systems.
5.
Gottipati, Swapna, et al.. (2021). Mining Informal and Short Weekly Student Self-Reflections for Improving Student Learning Experience.. Journal of the Association for Information Systems.
6.
Lo, Siaw Ling, Swapna Gottipati, & Venky Shankararaman. (2021). Rethinking Work Study Programs: A Data Analytics Work Study Program for Undergraduates.. Journal of the Association for Information Systems.
7.
Gottipati, Swapna & Venky Shankararaman. (2021). Rapid Transition of a Technical Course from Face-to-Face to Online. Communications of the Association for Information Systems. 48. 7–14. 2 indexed citations
8.
Gottipati, Swapna, et al.. (2019). Clustering Models for Topic Analysis in Graduate Discussion Forums. International Conference on Computers in Education. 4 indexed citations
9.
Gottipati, Swapna, et al.. (2019). Cognitive and Social Interaction Analysis in Graduate Discussion Forums. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1–8.
10.
Gottipati, Swapna, et al.. (2018). Latent Dirichlet Allocation for textual student feedback analysis. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 6 indexed citations
11.
Gottipati, Swapna, et al.. (2018). Text analytics approach to extract course improvement suggestions from students’ feedback. Research and Practice in Technology Enhanced Learning. 13(1). 6–6. 40 indexed citations
12.
Shankararaman, Venky, et al.. (2017). Extracting implicit suggestions from students’ comments: A text analytics approach. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 2 indexed citations
13.
Gottipati, Swapna, et al.. (2016). Semi-automated Tool for Providing Effective Feedback on Programming Assignments. International Conference on Computers in Education. 2 indexed citations
14.
Gottipati, Swapna & Venky Shankararaman. (2014). Analyzing Course Competencies: What can Competencies Reveal about the Curriculum?. International Conference on Computers in Education. 4 indexed citations
15.
Gottipati, Swapna, et al.. (2013). Learning Topics and Positions from Debatepedia. Figshare. 1858–1868. 21 indexed citations
16.
Gottipati, Swapna & Jing Jiang. (2012). Finding Thoughtful Comments from Social Media. International Conference on Computational Linguistics. 995–1010. 10 indexed citations
17.
Gottipati, Swapna & Jing Jiang. (2012). Extracting and Normalizing Entity-Actions from Users' Comments. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 421–430. 1 indexed citations
18.
Gottipati, Swapna & Jing Jiang. (2011). Linking Entities to a Knowledge Base with Query Expansion. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 804–813. 45 indexed citations
19.
Gottipati, Swapna & Jing Jiang. (2010). SMU-SIS at TAC 2010 - KBP Track Entity Linking. Theory and applications of categories. 1. 4 indexed citations
20.
Zheng, Wei, Swapna Gottipati, Jing Jiang, & Hui Fang. (2009). UDEL/SMU at TREC 2009 Entity Track. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1. 6 indexed citations

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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