Harshit Joshi

403 total citations
12 papers, 244 citations indexed

About

Harshit Joshi is a scholar working on Social Psychology, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Harshit Joshi has authored 12 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 5 papers in Clinical Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Harshit Joshi's work include Mental Health via Writing (7 papers), Suicide and Self-Harm Studies (5 papers) and Mental Health Research Topics (4 papers). Harshit Joshi is often cited by papers focused on Mental Health via Writing (7 papers), Suicide and Self-Harm Studies (5 papers) and Mental Health Research Topics (4 papers). Harshit Joshi collaborates with scholars based in India, United States and Germany. Harshit Joshi's co-authors include Ramit Sawhney, Rajiv Ratn Shah, Lucie Flek, Sumit Gulwani, Vu Le, Gust Verbruggen, Sarika Jain, Di Jin, Vu Le and Ashish Tiwari and has published in prestigious journals such as Journal of the American Medical Informatics Association, Proceedings of the ACM on Programming Languages and PubMed.

In The Last Decade

Harshit Joshi

11 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harshit Joshi India 7 134 109 60 55 47 12 244
Ahmed Husseini Orabi Canada 4 182 1.4× 146 1.3× 26 0.4× 99 1.8× 10 0.2× 9 231
Ana Freire Spain 7 76 0.6× 52 0.5× 31 0.5× 51 0.9× 32 0.7× 22 172
Esaú Villatoro-Tello Mexico 12 42 0.3× 250 2.3× 140 2.3× 11 0.2× 12 0.3× 53 343
Yash Mehta United Kingdom 4 98 0.7× 134 1.2× 30 0.5× 13 0.2× 137 2.9× 6 318
Amna Noureen Pakistan 5 48 0.4× 183 1.7× 42 0.7× 5 0.1× 78 1.7× 7 326
Adrián Pastor López-Monroy Mexico 11 115 0.9× 261 2.4× 83 1.4× 31 0.6× 12 0.3× 51 368
Lifa Wu China 10 56 0.4× 115 1.1× 78 1.3× 3 0.1× 96 2.0× 22 306
Esteban A. Ríssola Switzerland 6 88 0.7× 89 0.8× 27 0.5× 41 0.7× 15 0.3× 11 153
Izabela Stefaniak Poland 4 11 0.1× 136 1.2× 27 0.5× 12 0.2× 16 0.3× 12 223
Elvis Saravia Taiwan 7 85 0.6× 195 1.8× 34 0.6× 43 0.8× 7 0.1× 13 266

Countries citing papers authored by Harshit Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Harshit Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harshit Joshi

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

All Works

12 of 12 papers shown
1.
Joshi, Harshit, et al.. (2024). FLAME: A Small Language Model for Spreadsheet Formulas. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 12995–13003.
2.
Joshi, Harshit, et al.. (2023). Repair Is Nearly Generation: Multilingual Program Repair with LLMs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 5131–5140. 59 indexed citations
3.
Joshi, Harshit, et al.. (2022). Drone Detection using YOLOv4 and Amazon Rekognition. 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC). 896–902. 1 indexed citations
4.
Joshi, Harshit, et al.. (2022). Neurosymbolic repair for low-code formula languages. Proceedings of the ACM on Programming Languages. 6(OOPSLA2). 1093–1122. 7 indexed citations
5.
Sawhney, Ramit, et al.. (2021). Robust suicide risk assessment on social media via deep adversarial learning. Journal of the American Medical Informatics Association. 28(7). 1497–1506. 10 indexed citations
6.
Sawhney, Ramit, Harshit Joshi, Alicia L. Nobles, & Rajiv Ratn Shah. (2021). Tweet Classification to Assist Human Moderation for Suicide Prevention.. PubMed. 15. 609–620. 3 indexed citations
7.
Sawhney, Ramit, et al.. (2021). Towards Ordinal Suicide Ideation Detection on Social Media. 22–30. 34 indexed citations
8.
Sawhney, Ramit, Harshit Joshi, Lucie Flek, & Rajiv Ratn Shah. (2021). PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media. 2415–2428. 34 indexed citations
9.
Sawhney, Ramit, Harshit Joshi, Alicia L. Nobles, & Rajiv Ratn Shah. (2021). Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide Prevention. Proceedings of the International AAAI Conference on Web and Social Media. 15. 609–620. 2 indexed citations
10.
Sawhney, Ramit, Harshit Joshi, Rajiv Ratn Shah, & Lucie Flek. (2021). Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning. 2176–2190. 26 indexed citations
11.
Sawhney, Ramit, et al.. (2020). A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media. 7685–7697. 65 indexed citations
12.
Jain, Sarika & Harshit Joshi. (2016). Impact of early testing on cost, reliability and release time. 318–322. 3 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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