Ujwal Gadiraju

3.8k total citations
112 papers, 1.6k citations indexed

About

Ujwal Gadiraju is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Ujwal Gadiraju has authored 112 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 56 papers in Computer Science Applications and 25 papers in Information Systems. Recurrent topics in Ujwal Gadiraju's work include Mobile Crowdsensing and Crowdsourcing (54 papers), Topic Modeling (15 papers) and Personal Information Management and User Behavior (14 papers). Ujwal Gadiraju is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (54 papers), Topic Modeling (15 papers) and Personal Information Management and User Behavior (14 papers). Ujwal Gadiraju collaborates with scholars based in Netherlands, Germany and United Kingdom. Ujwal Gadiraju's co-authors include Stefan Dietze, Gianluca Demartini, Ricardo Kawase, Alessandro Bozzon, Besnik Fetahu, Jie Yang, Alessandro Checco, Gaole He, Tim Draws and Ran Yu and has published in prestigious journals such as Sensors, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Computer-Human Interaction.

In The Last Decade

Ujwal Gadiraju

103 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ujwal Gadiraju Netherlands 23 738 734 301 268 193 112 1.6k
Ig Ibert Bittencourt Brazil 24 809 1.1× 721 1.0× 298 1.0× 650 2.4× 57 0.3× 193 2.3k
Andrew Zaldivar United States 11 472 0.6× 275 0.4× 320 1.1× 131 0.5× 117 0.6× 16 1.1k
John F. Pane United States 21 565 0.8× 360 0.5× 147 0.5× 319 1.2× 102 0.5× 91 1.9k
Gianluca Demartini Australia 23 1.2k 1.6× 1.3k 1.7× 395 1.3× 591 2.2× 510 2.6× 156 2.3k
Djellel Difallah Switzerland 13 716 1.0× 690 0.9× 192 0.6× 432 1.6× 291 1.5× 33 1.6k
Matthew Lease United States 27 854 1.2× 1.3k 1.8× 228 0.8× 762 2.8× 219 1.1× 106 2.3k
Mutlu Cukurova United Kingdom 25 1.2k 1.7× 718 1.0× 92 0.3× 494 1.8× 38 0.2× 79 2.6k
Ismaila Temitayo Sanusi Finland 20 854 1.2× 353 0.5× 94 0.3× 393 1.5× 46 0.2× 95 1.7k
Dan Frankowski United States 15 473 0.6× 351 0.5× 479 1.6× 544 2.0× 82 0.4× 20 1.8k
Kobi Gal Israel 23 252 0.3× 716 1.0× 370 1.2× 100 0.4× 323 1.7× 126 1.7k

Countries citing papers authored by Ujwal Gadiraju

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Langer, Markus, et al.. (2026). AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems. FreiDok plus (Universitätsbibliothek Freiburg). 237–239.
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Gadiraju, Ujwal, et al.. (2024). Understanding Choice Independence and Error Types in Human-AI Collaboration. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 1–19. 8 indexed citations
4.
Gadiraju, Ujwal, et al.. (2024). “DecisionTime”: A Configurable Framework for Reproducible Human-AI Decision-Making Studies. 66–69. 1 indexed citations
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He, Gaole, et al.. (2024). Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making. Research Repository (Delft University of Technology). 1–17. 14 indexed citations
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Gadiraju, Ujwal, et al.. (2024). Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology. 1926–1939. 3 indexed citations
11.
Berkel, Niels van, et al.. (2023). Supporting mental health self-care discovery through a chatbot. Frontiers in Digital Health. 5. 1034724–1034724. 14 indexed citations
12.
Balayn, Agathe, et al.. (2023). Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. Iris (University of Trento). 650–663. 5 indexed citations
13.
He, Gaole, et al.. (2023). A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making. Research Repository (Delft University of Technology). 215–227. 22 indexed citations
14.
Gadiraju, Ujwal, et al.. (2023). Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment. Research Repository (Delft University of Technology). 737–749. 3 indexed citations
15.
Savage, Saiph, Niels van Berkel, Dmitry Ustalov, et al.. (2022). REGROW: Reimagining Global Crowdsourcing for Better Human-AI Collaboration. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–7. 3 indexed citations
16.
Bozzon, Alessandro, et al.. (2020). Conversational interfaces for search as learning. Data Archiving and Networked Services (DANS).
17.
Khan, Vassilis-Javed, et al.. (2020). Crowd of Oz: A Crowd-Powered Social Robotics System for Stress Management. Sensors. 20(2). 569–569. 20 indexed citations
18.
Yu, Ran, Besnik Fetahu, Ujwal Gadiraju, & Stefan Dietze. (2016). A Survey on Challenges in Web Markup Data for Entity Retrieval.. International Semantic Web Conference. 3 indexed citations
19.
Gadiraju, Ujwal, Ricardo Kawase, & Stefan Dietze. (2014). Extracting architectural patterns from web data. International Semantic Web Conference. 461–464. 1 indexed citations
20.
Gadiraju, Ujwal, et al.. (2014). WikipEvent: temporal event data for the semantic web. International Semantic Web Conference. 125–128. 1 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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