Chris Eckl

736 total citations
8 papers, 241 citations indexed

About

Chris Eckl is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chris Eckl has authored 8 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Health Information Management and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chris Eckl's work include Sentiment Analysis and Opinion Mining (3 papers), Machine Learning in Healthcare (2 papers) and Topic Modeling (2 papers). Chris Eckl is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Machine Learning in Healthcare (2 papers) and Topic Modeling (2 papers). Chris Eckl collaborates with scholars based in United Kingdom, United States and Singapore. Chris Eckl's co-authors include Amir Hussain, Erik Cambria, Catherine Havasi, James B. Munro, Tim Benson, T.S. Durrani, Stephen J Leslie, Warner V. Slack, Christos Chrysoulas and Calum A. MacRae and has published in prestigious journals such as Expert Systems with Applications and Research Output (Edinburgh Napier University).

In The Last Decade

Chris Eckl

7 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Eckl United Kingdom	6	174	25	25	23	21	8	241
Tanmay Basu India	8	154 0.9×	27 1.1×	64 2.6×	44 1.9×	6 0.3×	16	273
Nir Ofek Israel	7	242 1.4×	32 1.3×	44 1.8×	31 1.3×	11 0.5×	15	309
Luca Soldaini United States	8	152 0.9×	6 0.2×	35 1.4×	39 1.7×	35 1.7×	34	206
Ivan Smirnov Russia	8	109 0.6×	28 1.1×	33 1.3×	59 2.6×	5 0.2×	44	192
Emmanuele Chersoni Hong Kong	12	226 1.3×	16 0.6×	17 0.7×	14 0.6×	31 1.5×	54	326
Tung Tran United States	8	133 0.8×	12 0.5×	19 0.8×	24 1.0×	83 4.0×	15	249
Sam Scott United States	7	294 1.7×	32 1.3×	145 5.8×	20 0.9×	15 0.7×	13	442
Luke Dickens United Kingdom	8	80 0.5×	70 2.8×	22 0.9×	6 0.3×	7 0.3×	15	231
Kim Luyckx Belgium	14	400 2.3×	33 1.3×	50 2.0×	31 1.3×	70 3.3×	24	473
Véronique Moriceau France	9	227 1.3×	29 1.2×	56 2.2×	25 1.1×	9 0.4×	32	260

Countries citing papers authored by Chris Eckl

Since Specialization

Citations

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

Fields of papers citing papers by Chris Eckl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Eckl

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Eckl. A scholar is included among the top collaborators of Chris Eckl 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 Chris Eckl. Chris Eckl 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.

Buchanan, William J., Chris Eckl, Pavlos Papadopoulos, et al.. (2024). DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof. 866–871.

2.

Yang, Peipei, Amir Hussain, Kaizhu Huang, et al.. (2013). Efficient clinical decision making by learning from missing clinical data. Research Output (Edinburgh Napier University). 113. 27–33. 2 indexed citations

3.

Cambria, Erik, Tim Benson, Chris Eckl, & Amir Hussain. (2012). Sentic PROMs: Application of sentic computing to the development of a novel unified framework for measuring health-care quality. Expert Systems with Applications. 39(12). 10533–10543. 67 indexed citations

4.

Cambria, Erik, Amir Hussain, & Chris Eckl. (2011). Taking Refuge in Your Personal Sentic Corner. 35–43. 5 indexed citations

5.

Hussain, Amir, et al.. (2011). Ontology-Driven Cardiovascular Decision Support System. Research Output (Edinburgh Napier University). 14 indexed citations

6.

Cambria, Erik, Amir Hussain, T.S. Durrani, et al.. (2010). Sentic Computing for patient centered applications. Research Output (Edinburgh Napier University). 1279–1282. 90 indexed citations

7.

Cambria, Erik, Amir Hussain, Catherine Havasi, Chris Eckl, & James B. Munro. (2010). Towards Crowd Validation of the UK National Health Service. 25 indexed citations

8.

Cambria, Erik, Amir Hussain, Catherine Havasi, & Chris Eckl. (2009). AffectiveSpace: Blending Common Sense and Affective Knowledge to Perform Emotive Reasoning. 38 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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