Cindy Marling

1.3k total citations
26 papers, 731 citations indexed

About

Cindy Marling is a scholar working on Artificial Intelligence, Endocrinology, Diabetes and Metabolism and Health Information Management. According to data from OpenAlex, Cindy Marling has authored 26 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Health Information Management. Recurrent topics in Cindy Marling's work include Diabetes Management and Research (10 papers), AI-based Problem Solving and Planning (9 papers) and Artificial Intelligence in Healthcare (5 papers). Cindy Marling is often cited by papers focused on Diabetes Management and Research (10 papers), AI-based Problem Solving and Planning (9 papers) and Artificial Intelligence in Healthcare (5 papers). Cindy Marling collaborates with scholars based in United States, Norway and United Kingdom. Cindy Marling's co-authors include Răzvan Bunescu, Isabelle Bichindaritz, Frank Schwartz, Jay H. Shubrook, Hui Shen, David Juedes, Agnar Aamodt, Stefania Montani, Peter Funk and Edwina L. Rissland and has published in prestigious journals such as Expert Systems with Applications, Sensors and Artificial Intelligence in Medicine.

In The Last Decade

Cindy Marling

23 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cindy Marling United States 12 378 257 219 113 97 26 731
Eleni I. Georga Greece 13 322 0.9× 129 0.5× 198 0.9× 134 1.2× 108 1.1× 49 660
John Daniels United Kingdom 10 277 0.7× 446 1.7× 119 0.5× 88 0.8× 75 0.8× 29 1.1k
Remei Calm Spain 11 342 0.9× 71 0.3× 51 0.2× 150 1.3× 44 0.5× 24 493
Miroslav Marinov Bulgaria 6 38 0.1× 201 0.8× 198 0.9× 21 0.2× 27 0.3× 19 487
G. Kumar India 16 132 0.3× 271 1.1× 24 0.1× 19 0.2× 53 0.5× 44 834
Shiva Shankar Reddy India 12 31 0.1× 136 0.5× 73 0.3× 21 0.2× 11 0.1× 86 478
Mahmudul Hasan Bangladesh 6 34 0.1× 403 1.6× 351 1.6× 2 0.0× 22 0.2× 10 625
Elpida Keravnou Cyprus 15 7 0.0× 384 1.5× 81 0.4× 17 0.2× 11 0.1× 42 577
Mohammad Taha Bahadori United States 12 6 0.0× 656 2.6× 239 1.1× 11 0.1× 21 0.2× 19 837
Jesmin Nahar Australia 6 18 0.0× 299 1.2× 296 1.4× 3 0.0× 70 0.7× 15 589

Countries citing papers authored by Cindy Marling

Since Specialization
Citations

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

Fields of papers citing papers by Cindy Marling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cindy Marling

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

All Works

20 of 20 papers shown
1.
Chen, Charles, Răzvan Bunescu, & Cindy Marling. (2021). A semantic parsing pipeline for context-dependent question answering over temporally structured data. Natural Language Engineering. 29(3). 769–793.
2.
Beauchamp, Jeremy, et al.. (2021). LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management. Sensors. 21(9). 3303–3303. 8 indexed citations
3.
Marling, Cindy & Răzvan Bunescu. (2020). The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020.. PubMed. 2675. 71–74. 100 indexed citations
4.
Althoff, Klaus‐Dieter, Kerstin Bach, Ralph Bergmann, & Cindy Marling. (2020). The 27th International Conference on Case‐Based Reasoning. AI Magazine. 41(1). 101–102.
5.
Beauchamp, Jeremy, Răzvan Bunescu, & Cindy Marling. (2020). A General Neural Architecture for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management.. 43–47. 1 indexed citations
6.
Chen, Charles, et al.. (2019). From Physician Queries to Logical Forms for Efficient Exploration of Patient Data. 371–374. 1 indexed citations
7.
8.
Koch, Fernando, Andrew Koster, Isabelle Bichindaritz, et al.. (2019). Artificial Intelligence in Health. Lecture notes in computer science. 6 indexed citations
9.
Marling, Cindy & Răzvan Bunescu. (2018). The OhioT1DM Dataset For Blood Glucose Level Prediction.. International Joint Conference on Artificial Intelligence. 60–63. 72 indexed citations
10.
Bunescu, Răzvan, et al.. (2017). Using LSTMs to learn physiological models of blood glucose behavior. PubMed. 2017. 2887–2891. 68 indexed citations
11.
Marling, Cindy & David Juedes. (2016). CS0 for Computer Science Majors at Ohio University. 138–143. 23 indexed citations
12.
Bunescu, Răzvan, et al.. (2014). A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management. National Conference on Artificial Intelligence. 80 indexed citations
13.
Marling, Cindy, Stefania Montani, Isabelle Bichindaritz, & Peter Funk. (2013). Synergistic case-based reasoning in medical domains. Expert Systems with Applications. 41(2). 249–259. 29 indexed citations
14.
Marling, Cindy, Matthew Wiley, Răzvan Bunescu, Jay H. Shubrook, & Frank Schwartz. (2012). Emerging Applications for Intelligent Diabetes Management. AI Magazine. 33(2). 67–78. 22 indexed citations
15.
Marling, Cindy, Matthew Wiley, Răzvan Bunescu, Jay H. Shubrook, & Frank Schwartz. (2011). Emerging Applications for Intelligent Diabetes Management. Proceedings of the AAAI Conference on Artificial Intelligence. 25(2). 1668–1673. 1 indexed citations
16.
Marling, Cindy, Jay H. Shubrook, & Frank Schwartz. (2009). TOWARD CASE‐BASED REASONING FOR DIABETES MANAGEMENT: A PRELIMINARY CLINICAL STUDY AND DECISION SUPPORT SYSTEM PROTOTYPE. Computational Intelligence. 25(3). 165–179. 19 indexed citations
17.
Bichindaritz, Isabelle & Cindy Marling. (2006). INTRODUCTION TO THE SPECIAL ISSUE ON CASE‐BASED REASONING IN THE HEALTH SCIENCES. Computational Intelligence. 22(3-4). 143–147. 2 indexed citations
18.
Bichindaritz, Isabelle & Cindy Marling. (2006). Case-based reasoning in the health sciences: What's next?. Artificial Intelligence in Medicine. 36(2). 127–135. 136 indexed citations
19.
Aha, David W., Cindy Marling, & Ian Watson. (2005). Case-based reasoning commentaries: introduction. The Knowledge Engineering Review. 20(3). 201–202. 5 indexed citations
20.
Marling, Cindy, Edwina L. Rissland, & Agnar Aamodt. (2005). Integrations with case-based reasoning. The Knowledge Engineering Review. 20(3). 241–245. 19 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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