Karthik Gomadam
- Information Systems top 1%
- Service-Oriented Architecture and Web Services 18
- Web Data Mining and Analysis 7
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- Business Process Modeling and Analysis 16
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 14
- Advanced Software Engineering Methodologies 7
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- Scientific Computing and Data Management 4
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- Data Quality and Management 8
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- Biomedical Text Mining and Ontologies 3
Karthik Gomadam
32 papers receiving 678 citations
Peers
Comparison fields: 5 of 52
- Information Systems 625
- Management Information Systems 241
- Artificial Intelligence 457
- Computer Networks and Communications 244
- Information Systems and Management 61
Countries citing papers authored by Karthik Gomadam
This map shows the geographic impact of Karthik Gomadam'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 Karthik Gomadam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Gomadam more than expected).
Fields of papers citing papers by Karthik Gomadam
This network shows the impact of papers produced by Karthik Gomadam. 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 Karthik Gomadam. The network helps show where Karthik Gomadam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karthik Gomadam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 2 | |
| 2 | Data Enrichment Using Data Sources on the Web | 2012 | 3 |
| 3 | Querying Provenance Information in Distributed Environments. | 2011 | 2 |
| 4 | Multiple Ontologies in Healthcare Information Technology: Motivations and Recommendation for Ontology Mapping and Alignment. | 2011 | 16 |
| 5 | 2011 | 7 | |
| 6 | 2011 | 5 | |
| 7 | 2010 | 4 | |
| 8 | 2010 | 28 | |
| 9 | Semantics Enhanced Services: METEOR-S, SAWSDL and SA-REST | 2008 | 29 |
| 10 | 2008 | 72 | |
| 11 | 2008 | 149 | |
| 12 | 2007 | 10 | |
| 13 | AUTOMATIC COMPOSITION OF SEMANTIC WEB SERVICES USING PROCESS MEDIATION | 2007 | 1 |
| 14 | 2007 | 13 | |
| 15 | 2007 | 3 | |
| 16 | 2006 | 29 | |
| 17 | 2006 | 6 | |
| 18 | Demonstrating Dynamic Configuration and Execution of Web Processes | 2005 | 4 |
| 19 | 2005 | 6 | |
| 20 | The METEOR-S Approach for Configuring and Executing Dynamic Web Processes | 2005 | 67 |
About Karthik Gomadam
Karthik Gomadam is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence, having authored 33 papers that have together received 767 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (18 papers), Business Process Modeling and Analysis (16 papers), Semantic Web and Ontologies (14 papers), Data Quality and Management (8 papers), Advanced Software Engineering Methodologies (7 papers), Web Data Mining and Analysis (7 papers), Scientific Computing and Data Management (4 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Information Systems (625 citations), Management Information Systems (241 citations) and Artificial Intelligence (457 citations). Karthik Gomadam has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Amit Sheth, Jacek Kopecký, Tomáš Vitvar, Kunal Verma, Ajith Ranabahu, John A. Miller, E. Michael Maximilien, Sharib Khan, Vivek Kumar Garg and Chintan Patel. Their work appears in journals such as Communications of the ACM, IEEE Internet Computing and Journal of Web Semantics.
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.