Shailee Jain

763 total citations · 1 hit paper
9 papers, 208 citations indexed

About

Shailee Jain is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shailee Jain has authored 9 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shailee Jain's work include Natural Language Processing Techniques (3 papers), Neural Networks and Applications (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Shailee Jain is often cited by papers focused on Natural Language Processing Techniques (3 papers), Neural Networks and Applications (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Shailee Jain collaborates with scholars based in United States, United Kingdom and Germany. Shailee Jain's co-authors include Alexander G. Huth, Jerry Tang, Amanda LeBel, Leila Wehbe, Vy A. Vo, Mohammad Javad Hosseini, Lixiang Xu, Eugene Ie, Li Zhang and Jason Baldridge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Scientific Data.

In The Last Decade

Shailee Jain

9 papers receiving 201 citations

Hit Papers

Semantic reconstruction of continuous language from non-i... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shailee Jain United States 5 138 43 20 18 16 9 208
Amanda LeBel United States 4 126 0.9× 25 0.6× 20 1.0× 17 0.9× 15 0.9× 5 188
Momchil S. Tomov United States 6 121 0.9× 47 1.1× 25 1.3× 26 1.4× 25 1.6× 9 212
Jerry Tang United States 2 116 0.8× 25 0.6× 18 0.9× 12 0.7× 13 0.8× 3 167
Tomoya Nakai Japan 9 133 1.0× 20 0.5× 15 0.8× 39 2.2× 27 1.7× 27 200
Sourabh Niyogi United States 6 123 0.9× 85 2.0× 17 0.8× 53 2.9× 18 1.1× 12 356
Dustin Stansbury United States 5 349 2.5× 30 0.7× 34 1.7× 20 1.1× 44 2.8× 7 404
Johannes Mehrer United Kingdom 4 198 1.4× 55 1.3× 18 0.9× 5 0.3× 18 1.1× 6 270
Bradley Caron United States 8 278 2.0× 31 0.7× 14 0.7× 13 0.7× 23 1.4× 12 398
Kshitij Dwivedi Germany 7 157 1.1× 63 1.5× 15 0.8× 4 0.2× 12 0.8× 16 269
Fatma Deniz United States 6 157 1.1× 43 1.0× 46 2.3× 52 2.9× 34 2.1× 12 243

Countries citing papers authored by Shailee Jain

Since Specialization
Citations

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

Fields of papers citing papers by Shailee Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailee Jain

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

All Works

9 of 9 papers shown
1.
LeBel, Amanda, et al.. (2023). A natural language fMRI dataset for voxelwise encoding models. Scientific Data. 10(1). 555–555. 16 indexed citations
2.
Jain, Shailee, Vy A. Vo, Leila Wehbe, & Alexander G. Huth. (2023). Computational Language Modeling and the Promise of In Silico Experimentation. SHILAP Revista de lepidopterología. 5(1). 80–106. 16 indexed citations
3.
Tang, Jerry, Amanda LeBel, Shailee Jain, & Alexander G. Huth. (2023). Semantic reconstruction of continuous language from non-invasive brain recordings. Nature Neuroscience. 26(5). 858–866. 151 indexed citations breakdown →
4.
Jain, Shailee, et al.. (2021). Multi-Level Gazetteer-Free Geocoding. 79–88. 10 indexed citations
5.
Jain, Shailee, et al.. (2020). Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech. Neural Information Processing Systems. 33. 13738–13749. 1 indexed citations
6.
Turek, Javier S., et al.. (2019). A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between. 1 indexed citations
7.
Jain, Shailee, et al.. (2018). Mining User Trajectories in Electronic Text Books.. Educational Data Mining. 1 indexed citations
8.
Jain, Shailee & Alexander G. Huth. (2018). Incorporating Context into Language Encoding Models for fMRI. Neural Information Processing Systems. 31. 6628–6637. 9 indexed citations
9.
Mishra, Priyanka, et al.. (2015). A STUDY EVALUATING THE EFFECTS OF BOMBAY HOSPITAL PHYSIOTHERAPY PROGRAM AND CONVENTIONAL PHYSIOTHERAPY EXERCISE PROGRAM ON GERIATRIC PATIENTS PRESENTING WITH CALF PAIN. International Journal of Physiotherapy and Research. 3(2). 955–959. 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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