Palash Goyal

3.1k total citations · 2 hit papers
30 papers, 1.6k citations indexed

About

Palash Goyal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Palash Goyal has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Palash Goyal's work include Complex Network Analysis Techniques (7 papers), Advanced Graph Neural Networks (5 papers) and Topic Modeling (3 papers). Palash Goyal is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Advanced Graph Neural Networks (5 papers) and Topic Modeling (3 papers). Palash Goyal collaborates with scholars based in United States, Australia and Austria. Palash Goyal's co-authors include Emilio Ferrara, Sujit Rokka Chhetri, Arquimedes Canedo, Sumit Pandey, Kristina Lerman, Paulo Shakarian, Aram Galstyan, Kai-Wei Chang, Richard S. Zemel and Rahul Gupta and has published in prestigious journals such as Knowledge-Based Systems, Journal of Engineering Research and arXiv (Cornell University).

In The Last Decade

Palash Goyal

26 papers receiving 1.5k citations

Hit Papers

Graph embedding techniques, applications, and performance... 2018 2026 2020 2023 2018 2019 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Graph embedding techniques, applications, and performance: A survey
    2018 1.1k citations Palash Goyal, Emilio Ferrara profile →
  2. dyngraph2vec: Capturing network dynamics using dynamic graph representation learning
    2019 278 citations Palash Goyal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Palash Goyal United States 8 1.1k 614 329 251 226 30 1.6k
Hongyun Cai Singapore 6 1.1k 1.1× 620 1.0× 294 0.9× 234 0.9× 250 1.1× 7 1.5k
Daixin Wang China 7 1.5k 1.4× 922 1.5× 391 1.2× 370 1.5× 374 1.7× 10 2.0k
Dongxiao He China 26 1.3k 1.2× 1.3k 2.1× 314 1.0× 191 0.8× 276 1.2× 105 2.0k
Carl Yang United States 21 1.1k 1.0× 260 0.4× 435 1.3× 175 0.7× 240 1.1× 130 1.6k
Satu Elisa Schaeffer Mexico 9 526 0.5× 642 1.0× 159 0.5× 150 0.6× 235 1.0× 32 1.4k
Galileo Namata United States 11 2.0k 1.9× 908 1.5× 393 1.2× 186 0.7× 460 2.0× 18 2.3k
Sungchul Kim United States 19 943 0.9× 360 0.6× 237 0.7× 143 0.6× 304 1.3× 93 1.4k
Kazumi Saito Japan 18 582 0.6× 705 1.1× 261 0.8× 89 0.4× 286 1.3× 102 1.5k
Bhaskar Biswas India 21 558 0.5× 597 1.0× 221 0.7× 89 0.4× 117 0.5× 86 1.1k
Wei Jin United States 17 1.1k 1.0× 220 0.4× 253 0.8× 129 0.5× 226 1.0× 56 1.7k

Countries citing papers authored by Palash Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Palash Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Palash Goyal

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

All Works

20 of 20 papers shown
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Mehrabi, Ninareh, Palash Goyal, Kai-Wei Chang, et al.. (2024). Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. 1739–1756. 5 indexed citations
3.
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Mehrabi, Ninareh, Palash Goyal, Shalini Ghosh, et al.. (2024). FLIRT: Feedback Loop In-context Red Teaming. 703–718. 4 indexed citations
6.
Mehrabi, Ninareh, et al.. (2024). MICo: Preventative Detoxification of Large Language Models through Inhibition Control. 1696–1703. 1 indexed citations
7.
Mehrabi, Ninareh, Palash Goyal, Kai-Wei Chang, et al.. (2024). The steerability of large language models toward data-driven personas. 7290–7305. 2 indexed citations
8.
Goyal, Palash, et al.. (2023). Faithful Model Evaluation for Model-Based Metrics. 7484–7489. 1 indexed citations
9.
Mehrabi, Ninareh, Palash Goyal, Varun Kumar, et al.. (2023). Resolving Ambiguities in Text-to-Image Generative Models. 14367–14388. 3 indexed citations
10.
Goyal, Palash, et al.. (2023). “I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. arXiv (Cornell University). 1246–1266. 20 indexed citations
11.
Goyal, Palash, et al.. (2022). Leveraging Local Temporal Information for Multimodal Scene Classification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1830–1834. 1 indexed citations
12.
Parihar, V., et al.. (2021). CFD simulation of helical shell and tube heat exchanger using optimization techniques. Journal of Engineering Research. 11(1). 253–265. 2 indexed citations
13.
Goyal, Palash. (2020). Graph embedding algorithms for attributed and temporal graphs. ACM SIGWEB Newsletter. 2020(Spring). 1–4. 3 indexed citations
14.
Goyal, Palash, et al.. (2020). Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models. 313–321. 3 indexed citations
15.
Goyal, Palash, et al.. (2019). Smart QR Based Parking System. 12–18. 1 indexed citations
16.
Goyal, Palash, et al.. (2018). Deep Learning for Natural Language Processing. Apress eBooks. 69 indexed citations
17.
Goyal, Palash, et al.. (2018). DarkEmbed: Exploit Prediction With Neural Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 56 indexed citations
18.
Goyal, Palash, Homa Hosseinmardi, Emilio Ferrara, & Aram Galstyan. (2018). Embedding Networks with Edge Attributes. 38–42. 8 indexed citations
19.
Goyal, Palash, et al.. (2017). Deep Learning for Steam Job Candidate Selection. SPE Annual Technical Conference and Exhibition. 3 indexed citations
20.
Goyal, Palash, Greg Harris, Ajitesh Srivastava, et al.. (2015). Rapid Data Integration and Analysis for Upstream Oil and Gas Applications. SPE Annual Technical Conference and Exhibition. 4 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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