James Cross

1.4k citations
34 papers · 635 · h-index 14

Impact in

Papers in

James Cross

31 papers receiving 584 citations

Peers

James Cross
Comparison fields: 5 of 89
  • Political Science and International Relations 220
  • Strategy and Management 133
  • Artificial Intelligence 218
  • General Energy 5
  • Global and Planetary Change 79
Replace Silvia Marchesi with:
Silvia Marchesi Italy
Fridolin Linder United States
Ranjit Lall United States
David R. Mares United States
Harlan J. Onsrud United States
Christoph Arndt Denmark
Johannes Stahl United States
Julia Fleischer Germany
Timothy Meyer United States
Daniel D. Polsby United States
James Cross relative to Silvia Marchesi Italy Silvia Marchesi's profile →
Citations per field
00.5×2.8×
Silvia Marchesi · 1×
Citations per year

Countries citing papers authored by James Cross

Since Specialization
Citations

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

Fields of papers citing papers by James Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James Cross, 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 Cross Line = papers co-authored together James Cross links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001120
2 201286
3 201665
4 201646
5 201231
6 201725
7 201525
8 201224
9
Monotonic Multihead Attention
202022
10 201922
11 202121
12 201918
13 202016
14 201413
15
Parallel Machine Translation with Disentangled Context Transformer
202012
16 201112
17
Non-autoregressive Machine Translation with Disentangled Context Transformer
202011
18 20229
19 20168
20 20008

About James Cross

James Cross is a scholar working on Political Science and International Relations, Artificial Intelligence, Strategy and Management, Computer Vision and Pattern Recognition and Communication, having authored 34 papers that have together received 635 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers), Electoral Systems and Political Participation (11 papers), Political Influence and Corporate Strategies (10 papers), Multimodal Machine Learning Applications (8 papers), European Union Policy and Governance (7 papers), Disaster Management and Resilience (2 papers) and Flood Risk Assessment and Management (2 papers). The work is most often cited by research in Political Science and International Relations (220 citations), Strategy and Management (133 citations), Artificial Intelligence (218 citations), General Energy (5 citations) and Global and Planetary Change (79 citations). James Cross has collaborated with scholars based in United States, Ireland and Israel. Frequent co-authors include Liang Huang, Derek Greene, Rory Costello, Robert Thomson, Javier Arregui, Dirk Leuffen, Jiatao Gu, Jungo Kasai, Marjan Ghazvininejad and Rainer Eising. Their work appears in journals such as European Union Politics, Journal of European Public Policy, European Journal of Political Economy, Governance and JCMS Journal of Common Market Studies.

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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