Mutethia Mutuma

433 citations
4 papers · 251 · h-index 4

Impact in

Papers in

Journals
Transactions of the Association for Computational Linguistics (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (2 papers)Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) (1 paper)
Partner nations
United StatesChina

In The Last Decade

Mutethia Mutuma

4 papers receiving 241 citations

Peers

Mutethia Mutuma
Comparison fields: 5 of 15
  • Artificial Intelligence 232
  • Computer Vision and Pattern Recognition 42
  • Information Systems 16
  • Software 3
  • Health Informatics 1
Replace Shuangzhi Wu with:
Shuangzhi Wu China
Sohee Yang South Korea
Qingyu Tan Cayman Islands
Sumanth Doddapaneni India
Jiali Zeng China
Saeed Mahloujifar United States
Di He China
Zaixiang Zheng China
Souradyuti Paul Belgium
Huayang Li China
Mutethia Mutuma relative to Shuangzhi Wu China Shuangzhi Wu's profile →
Citations per field
00.5×1.7×
Shuangzhi Wu · 1×
Citations per year

Countries citing papers authored by Mutethia Mutuma

Since Specialization
Citations

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

Fields of papers citing papers by Mutethia Mutuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Mutethia Mutuma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mutethia Mutuma Line = papers co-authored together Mutethia Mutuma links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2021122
2 202269
3 202156
4 20214

About Mutethia Mutuma

Mutethia Mutuma is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 251 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (232 citations), Computer Vision and Pattern Recognition (42 citations), Information Systems (16 citations), Software (3 citations) and Health Informatics (1 citation). Mutethia Mutuma has collaborated with scholars based in United States and China. Frequent co-authors include Dragomir Radev, Ahmed Hassan Awadallah, Aslı Çelikyılmaz, Rahul Kumar Jha, Ming Zhong, Tao Yu, Da Yin, Xipeng Qiu, Rui Zhang and Neha Verma. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) and Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP).

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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