Potsawee Manakul

450 total citations · 1 hit paper
13 papers, 173 citations indexed

About

Potsawee Manakul is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Potsawee Manakul has authored 13 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Potsawee Manakul's work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Text Readability and Simplification (4 papers). Potsawee Manakul is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Text Readability and Simplification (4 papers). Potsawee Manakul collaborates with scholars based in United Kingdom and South Sudan. Potsawee Manakul's co-authors include Mark Gales, K.M. Knill, Andrew Caines, Linlin Wang, Yu Wang, Yizhou Wang, Kate Knill, Yijuan Lu, Guangzhi Sun and Philip C. Woodland and has published in prestigious journals such as Apollo (University of Cambridge), arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Potsawee Manakul

12 papers receiving 164 citations

Hit Papers

align trajectories

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.

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

2023 126 citations Potsawee Manakul, Mark Gales et al. profile →

Peers

Potsawee Manakul

AI

IS

HI

CVPR

ECP

Saffron Huang United Kingdom

Shehzaad Dhuliawala United States

Kalpesh Krishna United States

Viet Dac Lai United States

Hongkun Yu United States

Amelia Glaese United States

Trevor Cai United States

Francis Song United States

John Aslanides United Kingdom

Pradyumna Tambwekar United States

Saffron Huang United Kingdom

Potsawee Manakul

103 ×0.8

AI

18 ×1.1

IS

17 ×1.1

HI

15 ×1.7

CVPR

1 ×0.1

ECP

Citations per year, relative to Potsawee Manakul Potsawee Manakul (= 1×) peers Saffron Huang

Countries citing papers authored by Potsawee Manakul

Since Specialization

Citations

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

Fields of papers citing papers by Potsawee Manakul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Potsawee Manakul

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Sun, Guangzhi, et al.. (2025). SkillAggregation: Reference-free LLM-Dependent Aggregation. 15532–15548.

2.

Manakul, Potsawee, et al.. (2024). LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models. 139–151. 4 indexed citations

3.

Manakul, Potsawee, et al.. (2023). MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization. 39–53. 4 indexed citations

4.

Manakul, Potsawee, et al.. (2023). CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models. 516–523. 4 indexed citations

5.

Manakul, Potsawee, et al.. (2023). SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models. 9004–9017. 126 indexed citations breakdown →

6.

Manakul, Potsawee, et al.. (2023). Mitigating Word Bias in Zero-shot Prompt-based Classifiers. 327–335. 1 indexed citations

7.

Manakul, Potsawee & Mark Gales. (2021). Long-Span Dependencies in Transformer-based Summarization Systems.. arXiv (Cornell University). 1 indexed citations

8.

Manakul, Potsawee & Mark Gales. (2021). Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9359–9368. 2 indexed citations

9.

Manakul, Potsawee, Mark Gales, & Linlin Wang. (2020). Abstractive Spoken Document Summarization Using Hierarchical Model with Multi-Stage Attention Diversity Optimization. Apollo (University of Cambridge). 4248–4252. 8 indexed citations

10.

Lu, Yijuan, et al.. (2019). Impact of ASR Performance on Spoken Grammatical Error Detection. Apollo (University of Cambridge). 1876–1880. 5 indexed citations

11.

Knill, K.M., Mark Gales, Potsawee Manakul, & Andrew Caines. (2019). Automatic Grammatical Error Detection of Non-native Spoken Learner English. Apollo (University of Cambridge). 8127–8131. 13 indexed citations

12.

Gales, Mark, et al.. (2019). Disfluency Detection for Spoken Learner English. Apollo (University of Cambridge). 74–78. 4 indexed citations

13.

Gales, Mark, et al.. (2019). Disfluency Detection for Spoken Learner English. Apollo (University of Cambridge). 74–78. 1 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.

Explore authors with similar magnitude of impact