Saurabh Pujar

406 total citations
8 papers, 154 citations indexed

About

Saurabh Pujar is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Saurabh Pujar has authored 8 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Software and 4 papers in Signal Processing. Recurrent topics in Saurabh Pujar's work include Software Engineering Research (7 papers), Advanced Malware Detection Techniques (4 papers) and Software Reliability and Analysis Research (3 papers). Saurabh Pujar is often cited by papers focused on Software Engineering Research (7 papers), Advanced Malware Detection Techniques (4 papers) and Software Reliability and Analysis Research (3 papers). Saurabh Pujar collaborates with scholars based in United States, Taiwan and Australia. Saurabh Pujar's co-authors include Alessandro Morari, Edward S. Epstein, Zhongqing Su, Bo Yang, Yunhui Zheng, Jim Laredo, Ayse K. Coskun, Gianluca Stringhini, Hammond Pearce and Yangruibo Ding and has published in prestigious journals such as Empirical Software Engineering and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Saurabh Pujar

8 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saurabh Pujar United States	4	119	82	67	38	27	8	154
Jing Kai Siow Singapore	4	156 1.3×	93 1.1×	89 1.3×	37 1.0×	44 1.6×	4	175
Matthieu Jimenez Luxembourg	9	158 1.3×	133 1.6×	65 1.0×	39 1.0×	44 1.6×	14	189
Tianming Liu China	6	117 1.0×	61 0.7×	114 1.7×	32 0.8×	54 2.0×	17	165
Martin Schäf United States	7	69 0.6×	72 0.9×	38 0.6×	28 0.7×	34 1.3×	17	111
Nghi D. Q. Bui Singapore	6	149 1.3×	76 0.9×	58 0.9×	75 2.0×	41 1.5×	12	173
Danilo Silva Brazil	4	118 1.0×	84 1.0×	30 0.4×	20 0.5×	32 1.2×	6	126
Luca Massarelli Italy	4	55 0.5×	38 0.5×	55 0.8×	37 1.0×	23 0.9×	5	93
Seunghoon Woo South Korea	4	226 1.9×	147 1.8×	186 2.8×	33 0.9×	51 1.9×	10	255
Jevgenija Pantiuchina Switzerland	7	210 1.8×	157 1.9×	34 0.5×	54 1.4×	53 2.0×	7	227
Ali Ghanbari United States	5	102 0.9×	121 1.5×	17 0.3×	19 0.5×	20 0.7×	15	147

Countries citing papers authored by Saurabh Pujar

Since Specialization

Citations

This map shows the geographic impact of Saurabh Pujar'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 Saurabh Pujar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Pujar more than expected).

Fields of papers citing papers by Saurabh Pujar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saurabh Pujar. 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 Saurabh Pujar. The network helps show where Saurabh Pujar may publish in the future.

Co-authorship network of co-authors of Saurabh Pujar

This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Pujar. A scholar is included among the top collaborators of Saurabh Pujar 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 Saurabh Pujar. Saurabh Pujar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Pujar, Saurabh, Yunhui Zheng, Jim Laredo, et al.. (2024). Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. Empirical Software Engineering. 29(2). 2 indexed citations

2.

Pujar, Saurabh, et al.. (2024). LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks. 862–880. 33 indexed citations

3.

Pujar, Saurabh, et al.. (2024). Ansible Lightspeed: A Code Generation Service for IT Automation. 2148–2158. 1 indexed citations

4.

Pujar, Saurabh, Xiaojie Guo, Nicolas Dupuis, et al.. (2023). Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. 1–4. 9 indexed citations

5.

Ding, Yangruibo, Saikat Chakraborty, Saurabh Pujar, et al.. (2023). CONCORD: Clone-Aware Contrastive Learning for Source Code. 26–38. 3 indexed citations

6.

Ding, Yangruibo, et al.. (2022). Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6300–6312. 19 indexed citations

7.

Pujar, Saurabh, et al.. (2022). Varangian. 766–767. 1 indexed citations

8.

Zheng, Yunhui, Saurabh Pujar, Edward S. Epstein, et al.. (2021). D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. 111–120. 86 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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