Gogul Balakrishnan
- Software top 2%
- Software Testing and Debugging Techniques 12
- Software Reliability and Analysis Research 5
- Signal Processing top 5%
- Advanced Malware Detection Techniques 5
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 3
- VLSI and Analog Circuit Testing 2
- Information Systems top 5%
- Software Engineering Research 5
- Artificial Intelligence top 5%
-
- Software System Performance and Reliability 5
-
- Formal Methods in Verification 4
- Co-authors
- Thomas RepsAditya KanadeKensen ShiPetros ManiatisAarti GuptaFranjo IvančićJunghee LimNaoto Maeda
- Journals
- ACM Transactions on Programming Languages and Systems (1 paper)Lecture notes in computer science (1 paper)Automated Software Engineering (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Gogul Balakrishnan
17 papers receiving 416 citations
Peers
Comparison fields: 5 of 23
- Software 244
- Signal Processing 185
- Hardware and Architecture 78
- Information Systems 222
- Artificial Intelligence 211
Countries citing papers authored by Gogul Balakrishnan
This map shows the geographic impact of Gogul Balakrishnan'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 Gogul Balakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gogul Balakrishnan more than expected).
Fields of papers citing papers by Gogul Balakrishnan
This network shows the impact of papers produced by Gogul Balakrishnan. 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 Gogul Balakrishnan. The network helps show where Gogul Balakrishnan may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Gogul Balakrishnan, 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 | Pre-trained Contextual Embedding of Source Code | 2019 | 24 |
| 2 | 2019 | 92 | |
| 3 | 2014 | 6 | |
| 4 | 2014 | 8 | |
| 5 | 2013 | 20 | |
| 6 | 2013 | 21 | |
| 7 | 2013 | 12 | |
| 8 | 2011 | 12 | |
| 9 | 2011 | 13 | |
| 10 | 2010 | 0 | |
| 11 | 2010 | 166 | |
| 12 | 2009 | 10 | |
| 13 | SLR(統語的言語洗練):実行不可能な経路検出と統語的言語の洗練化を通した経路感受性解析 | 2008 | 1 |
| 14 | 2008 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2006 | 35 | |
| 17 | Recovery of Variables and Heap Structure in x86 Executables | 2005 | 9 |
| 18 | Analyzing Memory Accesses in x86 Binary Executables | 2003 | 14 |
About Gogul Balakrishnan
Gogul Balakrishnan is a scholar working on Software, Hardware and Architecture and Signal Processing, having authored 18 papers that have together received 446 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (12 papers), Software Reliability and Analysis Research (5 papers), Software Engineering Research (5 papers), Software System Performance and Reliability (5 papers), Advanced Malware Detection Techniques (5 papers), Formal Methods in Verification (4 papers), Parallel Computing and Optimization Techniques (3 papers) and VLSI and Analog Circuit Testing (2 papers). The work is most often cited by research in Software (244 citations), Signal Processing (185 citations) and Hardware and Architecture (78 citations). Gogul Balakrishnan has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Thomas Reps, Aditya Kanade, Kensen Shi, Petros Maniatis, Aarti Gupta, Franjo Ivančić, Junghee Lim, Naoto Maeda, Malay Ganai and Pranav Garg. Their work appears in journals such as ACM Transactions on Programming Languages and Systems, Lecture notes in computer science and Automated Software Engineering.
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.