Christopher Clark

3.4k total citations
11 papers, 531 citations indexed

About

Christopher Clark is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Christopher Clark has authored 11 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in General Health Professions. Recurrent topics in Christopher Clark's work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Handwritten Text Recognition Techniques (2 papers). Christopher Clark is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Handwritten Text Recognition Techniques (2 papers). Christopher Clark collaborates with scholars based in United States, United Kingdom and South Korea. Christopher Clark's co-authors include Luke Zettlemoyer, Mark Yatskar, Santosh Divvala, Amos Storkey, Tom Kwiatkowski, Kristina Toutanova, Kenton Lee, Ming‐Wei Chang, Michael J. Collins and David Carr and has published in prestigious journals such as Molecular Breeding, Journal of Lower Genital Tract Disease and Journal of the International Phonetic Association.

In The Last Decade

Christopher Clark

10 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Clark United States	6	424	253	36	20	19	11	531
Yun-Hsuan Sung United States	10	596 1.4×	116 0.5×	64 1.8×	32 1.6×	15 0.8×	20	695
Stephen Roller United States	12	597 1.4×	130 0.5×	54 1.5×	18 0.9×	25 1.3×	16	720
Alex Wang United States	8	897 2.1×	316 1.2×	56 1.6×	32 1.6×	31 1.6×	10	971
Nasrin Mostafazadeh United States	8	615 1.5×	293 1.2×	38 1.1×	22 1.1×	12 0.6×	9	717
Dheeraj Rajagopal United States	8	486 1.1×	128 0.5×	67 1.9×	43 2.1×	11 0.6×	18	563
Manoj Kumar Chinnakotla India	10	461 1.1×	66 0.3×	120 3.3×	34 1.7×	11 0.6×	23	553
Genta Indra Winata Hong Kong	13	562 1.3×	82 0.3×	60 1.7×	14 0.7×	7 0.4×	45	617
Jonathan Herzig Israel	13	601 1.4×	151 0.6×	67 1.9×	32 1.6×	18 0.9×	25	726
Mark Sammons United States	13	583 1.4×	53 0.2×	57 1.6×	21 1.1×	34 1.8×	33	631
Luís Marujo Portugal	10	502 1.2×	77 0.3×	62 1.7×	13 0.7×	27 1.4×	15	536

Countries citing papers authored by Christopher Clark

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Clark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Clark

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Clark. A scholar is included among the top collaborators of Christopher Clark 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 Christopher Clark. Christopher Clark 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:

11 of 11 papers shown

1.

Clark, Christopher, et al.. (2025). Automating the Detection of Acetowhite Lesions by Classifying the Temporal Behavior of Cervical Regions. Journal of Lower Genital Tract Disease. 30(1). 31–38.

2.

Clark, Christopher, Jordi Salvador, Dustin Schwenk, et al.. (2021). Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1864–1886. 1 indexed citations

3.

Clark, Christopher, Mark Yatskar, & Luke Zettlemoyer. (2019). Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. 4067–4080. 199 indexed citations

4.

Clark, Christopher, Kenton Lee, Ming‐Wei Chang, et al.. (2019). . 2924–2936. 140 indexed citations

5.

Rohde, Hannah, Anna Dickinson, Nathan Schneider, et al.. (2016). Proceedings of LAW X – The 10th Linguistic Annotation Workshop,. 1 indexed citations

6.

Clark, Christopher & Santosh Divvala. (2016). PDFFigures 2.0. 143–152. 70 indexed citations

7.

Clark, Christopher & Santosh Divvala. (2015). Looking Beyond Text: Extracting Figures, Tables and Captions from Computer Science Papers. National Conference on Artificial Intelligence. 36 indexed citations

8.

Clark, Christopher & Amos Storkey. (2015). Training Deep Convolutional Neural Networks to Play Go. Edinburgh Research Explorer. 1766–1774. 66 indexed citations

9.

Carr, David, et al.. (2011). Introduction: Towards Professional Wisdom. 1–9. 2 indexed citations

10.

Scott, Richard, et al.. (2003). Transgenic Plant Monitor (TPM): a relational database for the management and analysis of information in plant tissue culture and transformation laboratories. Molecular Breeding. 11(2). 121–125. 2 indexed citations

11.

Clark, Christopher, et al.. (1987). Production and perception of sibilant fricatives: Shona data. Journal of the International Phonetic Association. 17(1). 39–65. 14 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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