Susmit Jha

37 papers and 318 indexed citations i.

About

Susmit Jha is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Susmit Jha has authored 37 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Susmit Jha’s work include Adversarial Robustness in Machine Learning (12 papers), Formal Methods in Verification (9 papers) and Machine Learning and Algorithms (5 papers). Susmit Jha is often cited by papers focused on Adversarial Robustness in Machine Learning (12 papers), Formal Methods in Verification (9 papers) and Machine Learning and Algorithms (5 papers). Susmit Jha collaborates with scholars based in United States, Germany and Romania. Susmit Jha's co-authors include Sanjit A. Seshia, Ashish Tiwari, Sumit Gulwani, Ramarathnam Venkatesan, Vasumathi Raman, Sriram Sankaranarayanan, Souradeep Dutta, Dorsa Sadigh, Sumit Kumar Jha and Tuhin Sahai and has published in prestigious journals such as ACM SIGPLAN Notices, Acta Informatica and Journal of Automated Reasoning.

In The Last Decade

Co-authorship network of co-authors of Susmit Jha i

Fields of papers citing papers by Susmit Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Susmit Jha

Since Specialization
Citations

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

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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