James Ma

972 citations
10 papers · 495 · 1 hit paper · h-index 6

Impact in

Papers in

James Ma

10 papers receiving 458 citations

James Ma's Hit Papers

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task 2018 · 413 citations
4130+2+5Years since publication100200300400

Peers

James Ma
Comparison fields: 5 of 61
  • Artificial Intelligence 342
  • Information Systems 125
  • Information Systems and Management 31
  • Management Science and Operations Research 49
  • Human Factors and Ergonomics 9
Replace Giorgio Maria Di Nunzio with:
Giorgio Maria Di Nunzio Italy
Sebastian Spiegler United States
Julia Kiseleva Netherlands
James Davis United States
Christian Kohlschütter Germany
Christoph Kiefer Germany
Tom Kenter Netherlands
Daniel Tunkelang United States
Andrew Philpot United States
Steven Burrows Germany
James Ma relative to Giorgio Maria Di Nunzio Italy Giorgio Maria Di Nunzio's profile →
Citations per field
00.5×4.5×
Giorgio Maria Di Nunzio · 1×
Citations per year

Countries citing papers authored by James Ma

Since Specialization
Citations

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

Fields of papers citing papers by James Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside James Ma, 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 James Ma Line = papers co-authored together James Ma links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Hit paper breakdown →
2018413
2 200726
3 200821
4 201413
5 20166
6 20105
7 20125
8 20074
9
An Inference-rules based Categorial Grammar Learner for Simulating Language Acquisition
20091
10
Unsupervised Syntax Learning with Categorial Grammars using Inference Rules
20091

About James Ma

James Ma is a scholar working on Artificial Intelligence, Information Systems, Literature and Literary Theory, Human Factors and Ergonomics and Information Systems and Management, having authored 10 papers that have together received 495 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Web Data Mining and Analysis (2 papers), Discourse Analysis in Language Studies (2 papers), Innovative Education and Learning Practices (2 papers), EFL/ESL Teaching and Learning (2 papers), Speech and dialogue systems (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Artificial Intelligence (342 citations), Information Systems (125 citations), Information Systems and Management (31 citations), Management Science and Operations Research (49 citations) and Human Factors and Ergonomics (9 citations). James Ma has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Michihiro Yasunaga, Zifan Li, Kai Yang, Irene Li, Dragomir Radev, Dongxu Wang, Zilin Zhang, Rui Zhang, Tao Yu and Daniel Zeng. Their work appears in journals such as Social Semiotics, Information Systems Frontiers, Mind Culture and Activity, Education 3-13 and SSRN Electronic Journal.

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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