Pavan Kumar Chittimalli

421 total citations
19 papers, 312 citations indexed

About

Pavan Kumar Chittimalli is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Pavan Kumar Chittimalli has authored 19 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 9 papers in Artificial Intelligence and 8 papers in Management Information Systems. Recurrent topics in Pavan Kumar Chittimalli's work include Software Engineering Research (10 papers), Semantic Web and Ontologies (7 papers) and Business Process Modeling and Analysis (7 papers). Pavan Kumar Chittimalli is often cited by papers focused on Software Engineering Research (10 papers), Semantic Web and Ontologies (7 papers) and Business Process Modeling and Analysis (7 papers). Pavan Kumar Chittimalli collaborates with scholars based in India, United States and Thailand. Pavan Kumar Chittimalli's co-authors include Mary Jean Harrold, Raúl Santelices, Taweesup Apiwattanapong, Alessandro Orso and Vipul Shah and has published in prestigious journals such as IEEE Transactions on Software Engineering.

In The Last Decade

Pavan Kumar Chittimalli

19 papers receiving 284 citations

Peers

Pavan Kumar Chittimalli
Ahmet Okutan United States
Robert France United States
Pavan Kumar Chittimalli
Citations per year, relative to Pavan Kumar Chittimalli Pavan Kumar Chittimalli (= 1×) peers Joshua Kerievsky

Countries citing papers authored by Pavan Kumar Chittimalli

Since Specialization
Citations

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

Fields of papers citing papers by Pavan Kumar Chittimalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavan Kumar Chittimalli. 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 Pavan Kumar Chittimalli. The network helps show where Pavan Kumar Chittimalli may publish in the future.

Co-authorship network of co-authors of Pavan Kumar Chittimalli

This figure shows the co-authorship network connecting the top 25 collaborators of Pavan Kumar Chittimalli. A scholar is included among the top collaborators of Pavan Kumar Chittimalli 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 Pavan Kumar Chittimalli. Pavan Kumar Chittimalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Chittimalli, Pavan Kumar, et al.. (2022). Domain Specific Text Preprocessing for Open Information Extraction. 1–5. 2 indexed citations
2.
Chittimalli, Pavan Kumar, et al.. (2021). Open Information Extraction Using Dependency Parser for Business Rule Mining in SBVR Format. 1–11. 2 indexed citations
3.
Chittimalli, Pavan Kumar, et al.. (2020). An Approach to Mine SBVR Vocabularies and Rules from Business Documents. 1–11. 8 indexed citations
4.
Chittimalli, Pavan Kumar, et al.. (2019). SBVR-based Business Rule Creation for Legacy Programs using Variable Provenance. 1–11. 2 indexed citations
5.
6.
Chittimalli, Pavan Kumar, et al.. (2019). BuRRiTo: A Framework to Extract, Specify, Verify and Analyze Business Rules. 1190–1193. 5 indexed citations
7.
Chittimalli, Pavan Kumar, et al.. (2018). Identifying Anomalies in SBVR-based Business Rules using Directed Graphs and SMT-LIBv2. 215–222. 4 indexed citations
8.
Chittimalli, Pavan Kumar, et al.. (2018). Relation Identification in Business Rules for Domain-specific Documents. 1–5. 4 indexed citations
9.
Chittimalli, Pavan Kumar, et al.. (2018). MatGap: A Systematic Approach to Perform Match and Gap Analysis among SBVR-Based Domain Specific Business Rules. 1. 551–560. 2 indexed citations
10.
Chittimalli, Pavan Kumar, et al.. (2017). A Systematic Review of Methods for Consistency Checking in SBVR-based Business Rules.. 3 indexed citations
11.
Chittimalli, Pavan Kumar, et al.. (2017). An Approach to Mine Business Rule Intents from Domain-specific Documents. 96–106. 5 indexed citations
12.
Chittimalli, Pavan Kumar, et al.. (2016). Domain-independent method of detecting inconsistencies in SBVR-based business rules. 185. 9–16. 9 indexed citations
13.
Chittimalli, Pavan Kumar, et al.. (2014). Variable provenance in software systems. 9–13. 3 indexed citations
14.
Chittimalli, Pavan Kumar & Vipul Shah. (2012). GEMS: A Generic Model Based Source Code Instrumentation Framework. 909–914. 4 indexed citations
15.
Chittimalli, Pavan Kumar & Mary Jean Harrold. (2009). Recomputing Coverage Information to Assist Regression Testing. IEEE Transactions on Software Engineering. 35(4). 452–469. 56 indexed citations
16.
Santelices, Raúl, Pavan Kumar Chittimalli, Taweesup Apiwattanapong, Alessandro Orso, & Mary Jean Harrold. (2008). Test-Suite Augmentation for Evolving Software. 218–227. 125 indexed citations
17.
Chittimalli, Pavan Kumar & Mary Jean Harrold. (2008). Regression test selection on system requirements. 87–96. 18 indexed citations
18.
Chittimalli, Pavan Kumar & Mary Jean Harrold. (2007). Re-computing Coverage Information to Assist Regression Testing. 164–173. 15 indexed citations
19.
Apiwattanapong, Taweesup, Raúl Santelices, Pavan Kumar Chittimalli, Alessandro Orso, & Mary Jean Harrold. (2006). MATRIX: Maintenance-Oriented Testing Requirements Identifier and Examiner. 137–146. 42 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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