Ujwal Gadiraju
- Computer Science Applications top 0.2%
- Artificial Intelligence top 2%
- Sociology and Political Science top 5%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Co-authors
- Stefan DietzeGianluca DemartiniRicardo KawaseAlessandro BozzonBesnik FetahuJie YangAlessandro CheccoGaole He
- Topics
- Mobile Crowdsensing and Crowdsourcing (54 papers)Topic Modeling (15 papers)Personal Information Management and User Behavior (14 papers)
- Journals
- SensorsIEEE Transactions on Knowledge and Data EngineeringACM Transactions on Computer-Human Interaction
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Ujwal Gadiraju
103 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Computer Science Applications 738
- Artificial Intelligence 734
- Sociology and Political Science 301
- Information Systems 268
- Management Science and Operations Research 193
Countries citing papers authored by Ujwal Gadiraju
This map shows the geographic impact of Ujwal Gadiraju'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 Ujwal Gadiraju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ujwal Gadiraju more than expected).
Fields of papers citing papers by Ujwal Gadiraju
This network shows the impact of papers produced by Ujwal Gadiraju. 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 Ujwal Gadiraju. The network helps show where Ujwal Gadiraju may publish in the future.
Co-authorship network of co-authors of Ujwal Gadiraju
This figure shows the co-authorship network connecting the top 25 collaborators of Ujwal Gadiraju. A scholar is included among the top collaborators of Ujwal Gadiraju 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 Ujwal Gadiraju. Ujwal Gadiraju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 22 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 20 | |
| 16 | Conversational interfaces for search as learning | 0 |
| 17 | Unlock the Stock: User Topic Modeling for Stock Market Analysis | 2 |
| 18 | A Survey on Challenges in Web Markup Data for Entity Retrieval. | 3 |
| 19 | Extracting architectural patterns from web data | 1 |
| 20 | WikipEvent: temporal event data for the semantic web | 1 |
About Ujwal Gadiraju
Ujwal Gadiraju is a scholar working on Computer Science Applications, Information Systems and Management and Artificial Intelligence, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (54 papers), Topic Modeling (15 papers) and Personal Information Management and User Behavior (14 papers). The work is most often cited by research in Computer Science Applications (738 citations), Health Informatics (46 citations) and Information Systems and Management (190 citations). Ujwal Gadiraju has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Stefan Dietze, Gianluca Demartini, Ricardo Kawase, Alessandro Bozzon, Besnik Fetahu, Jie Yang, Alessandro Checco, Gaole He, Tim Draws and Ran Yu. Their work appears in journals such as Sensors, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Computer-Human Interaction.
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.