Jeffrey Ling

544 total citations
8 papers, 91 citations indexed

About

Jeffrey Ling is a scholar working on Artificial Intelligence, Communication and Molecular Biology. According to data from OpenAlex, Jeffrey Ling has authored 8 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Communication and 1 paper in Molecular Biology. Recurrent topics in Jeffrey Ling's work include Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers) and Electoral Systems and Political Participation (1 paper). Jeffrey Ling is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers) and Electoral Systems and Political Participation (1 paper). Jeffrey Ling collaborates with scholars based in United States, Israel and Finland. Jeffrey Ling's co-authors include Alexander M. Rush, Yuntian Deng, Anssi Kanervisto, Tom W. Rice, Haoyu Chen, Paul S. Covington, Balakrishnan Varadarajan, Harvey J. Cohen, Jun Ji and Tom Kwiatkowski and has published in prestigious journals such as International Journal of Technology Assessment in Health Care, BMC Research Notes and Space and Polity.

In The Last Decade

Jeffrey Ling

7 papers receiving 81 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey Ling United States	4	50	49	15	8	8	8	91
Ankit Kumar India	6	13 0.3×	101 2.1×	8 0.5×		4 0.5×	14	143
Zhiping Xiao United States	6	12 0.2×	39 0.8×	7 0.5×	2 0.3×	3 0.4×	15	95
Peter Faymonville Germany	4	7 0.1×	17 0.3×	15 1.0×	6 0.8×	3 0.4×	6	39
Carlos Florensa United States	4	12 0.2×	40 0.8×	7 0.5×	2 0.3×	2 0.3×	5	68
Shaheed Zulfiqar	4	76 1.5×	18 0.4×	2 0.1×		7 0.9×	6	115
Amelia Glaese United States	4	15 0.3×	100 2.0×	4 0.3×	1 0.1×		6	145
Julian Martin Eisenschlos United States	6	45 0.9×	127 2.6×	3 0.2×			14	160
Francesco Olivieri Italy	6	7 0.1×	42 0.9×	3 0.2×		2 0.3×	21	71
Saeed Mahloujifar United States	7	26 0.5×	124 2.5×	2 0.1×	2 0.3×		14	139
Pascale Sébillot France	7	34 0.7×	104 2.1×	2 0.1×		5 0.6×	28	122

Countries citing papers authored by Jeffrey Ling

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Ling

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

All Works

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8 of 8 papers shown

1.

Ling, Jeffrey, et al.. (2022). KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction. 2022 International Conference on Robotics and Automation (ICRA). 646–652. 12 indexed citations

2.

Ling, Jeffrey, et al.. (2022). PD15 Horizon Scanning To Nominate Subsidy Evaluation Topics For Medical Technologies: Early Experience From Singapore. International Journal of Technology Assessment in Health Care. 38(S1). S95–S95. 1 indexed citations

3.

Ling, Jeffrey, Nicholas FitzGerald, Livio Baldini Soares, David J. Weiss, & Tom Kwiatkowski. (2019). Learning Entity Representations for Few-Shot Reconstruction of Wikipedia Categories. 2 indexed citations

4.

Deng, Yuntian, Anssi Kanervisto, Jeffrey Ling, & Alexander M. Rush. (2017). Image-to-Markup Generation with Coarse-to-Fine Attention. International Conference on Machine Learning. 980–989. 42 indexed citations

5.

Ling, Jeffrey & Alexander M. Rush. (2017). Coarse-to-Fine Attention Models for Document Summarization. 33–42. 20 indexed citations

6.

Ji, Jun, Jeffrey Ling, Helen Jiang, et al.. (2013). Cloud-based solution to identify statistically significant MS peaks differentiating sample categories. BMC Research Notes. 6(1). 109–109. 3 indexed citations

7.

Rice, Tom W. & Jeffrey Ling. (2002). Democracy, Economic Wealth and Social Capital: Sorting Out the Causal Connections. Space and Polity. 6(3). 307–325. 9 indexed citations

8.

Ling, Jeffrey & Tom W. Rice. (1999). Voting in Iowa's 1980 and 1992 ERA Referendums. Women & Politics. 20(1). 59–72. 2 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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