Titus Barik
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
-
- Teaching and Learning Programming
- Online Learning and Analytics
Papers in
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- Open Source Software Innovations 6
- Teaching and Learning Programming 4
- Software 5
- Co-authors
- Chris ParninRobert DeLineEmerson Murphy-HillSteven M. DruckerAndrew HeadFred HohmanAustin Z. HenleyAnita Sarma
- Journals
- Communications of the ACM (2 papers)Proceedings of the ACM on Human-Computer Interaction (1 paper)Proceedings of the ACM on Programming Languages (1 paper)Information Visualization (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Titus Barik
43 papers receiving 792 citations
Peers
Comparison fields: 5 of 56
- Software 190
- Computer Science Applications 252
- Information Systems and Management 189
- Information Systems 450
- Human-Computer Interaction 51
Countries citing papers authored by Titus Barik
This map shows the geographic impact of Titus Barik'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 Titus Barik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Titus Barik more than expected).
Fields of papers citing papers by Titus Barik
This network shows the impact of papers produced by Titus Barik. 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 Titus Barik. The network helps show where Titus Barik may publish in the future.
Co-authors
The 25 scholars most cited alongside Titus Barik, 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 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 72 | |
| 6 | 2020 | 29 | |
| 7 | 2019 | 93 | |
| 8 | 2018 | 33 | |
| 9 | Error Messages as Rational Reconstructions. | 2018 | 6 |
| 10 | 2017 | 2 | |
| 11 | 2017 | 24 | |
| 12 | 2016 | 20 | |
| 13 | 2016 | 3 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 4 | |
| 16 | Studying Sustained Attention and Cognitive States in Remote Technical Interviews | 2015 | 1 |
| 17 | 2014 | 10 | |
| 18 | 2014 | 2 | |
| 19 | Inferring cognitive behaviors from low-level user interactions in games. | 2013 | 1 |
| 20 | 2012 | 5 |
About Titus Barik
Titus Barik is a scholar working on Computer Science Applications, Software, Information Systems, Information Systems and Management and Human-Computer Interaction, having authored 44 papers that have together received 815 indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Software Engineering Techniques and Practices (16 papers), Scientific Computing and Data Management (8 papers), Software System Performance and Reliability (7 papers), Open Source Software Innovations (6 papers), Teaching and Learning Programming (4 papers), Advanced Software Engineering Methodologies (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Software (190 citations), Computer Science Applications (252 citations), Information Systems and Management (189 citations), Information Systems (450 citations) and Human-Computer Interaction (51 citations). Titus Barik has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Chris Parnin, Robert DeLine, Emerson Murphy-Hill, Steven M. Drucker, Andrew Head, Fred Hohman, Austin Z. Henley, Anita Sarma, Sumit Gulwani and Justin Smith. Their work appears in journals such as Communications of the ACM, Proceedings of the ACM on Human-Computer Interaction, Proceedings of the ACM on Programming Languages, Information Visualization and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.
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.