Carl Sable

551 total citations
12 papers, 337 citations indexed

About

Carl Sable is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Carl Sable has authored 12 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in General Health Professions. Recurrent topics in Carl Sable's work include Text and Document Classification Technologies (4 papers), Image Retrieval and Classification Techniques (3 papers) and Topic Modeling (2 papers). Carl Sable is often cited by papers focused on Text and Document Classification Technologies (4 papers), Image Retrieval and Classification Techniques (3 papers) and Topic Modeling (2 papers). Carl Sable collaborates with scholars based in United States. Carl Sable's co-authors include Vasileios Hatzivassiloglou, Kathleen McKeown, Barry Schiffman, Regina Barzilay, David K. Evans, Judith L. Klavans, Ani Nenkova, Hong Yu, Vijay Shanker and John Ely and has published in prestigious journals such as JACC: Cardiovascular Interventions, International Journal on Digital Libraries and PubMed.

In The Last Decade

Carl Sable

12 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carl Sable United States	8	244	100	91	57	31	12	337
Myung-Gil Jang South Korea	9	268 1.1×	35 0.3×	91 1.0×	15 0.3×	21 0.7×	29	310
Fumiyo Fukumoto Japan	10	331 1.4×	42 0.4×	113 1.2×	18 0.3×	29 0.9×	62	393
Muyun Yang China	11	362 1.5×	77 0.8×	77 0.8×	17 0.3×	14 0.5×	72	422
Yuning Mao United States	13	422 1.7×	113 1.1×	65 0.7×	39 0.7×	8 0.3×	25	477
Yuanmeng Yan China	10	511 2.1×	118 1.2×	61 0.7×	11 0.2×	23 0.7×	23	556
Franca Debole Italy	5	342 1.4×	71 0.7×	178 2.0×	21 0.4×	25 0.8×	12	393
Zewen Chi China	7	361 1.5×	148 1.5×	56 0.6×	9 0.2×	16 0.5×	16	416
Massih-Reza Amini France	10	172 0.7×	50 0.5×	57 0.6×	17 0.3×	9 0.3×	35	256
Hwee-Boon Low Singapore	4	244 1.0×	65 0.7×	122 1.3×	18 0.3×	39 1.3×	7	285

Countries citing papers authored by Carl Sable

Since Specialization

Citations

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

Fields of papers citing papers by Carl Sable

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Sable

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

12 of 12 papers shown

Jin, Zhekai, et al.. (2019). A Multisensor Data Fusion Approach for Simultaneous Localization and Mapping. 1317–1322. 9 indexed citations

Cheung, Brian & Carl Sable. (2011). Hybrid Evolution of Convolutional Networks. 293–297. 14 indexed citations

Sable, Carl, et al.. (2008). A Comparison Of Signal Based Music Recommendation To Genre Labels, Collaborative Filtering, Musicological Analysis, Human Recommendation And Random Baseline.. Zenodo (CERN European Organization for Nuclear Research). 161–166. 19 indexed citations

Cimino, James J., et al.. (2006). Beyond information retrieval--medical question answering.. PubMed. 469–73. 63 indexed citations

Sable, Carl, et al.. (2005). Question analysis for biomedical question answering.. PubMed. 1102–1102. 3 indexed citations

McKeown, Kathleen & Carl Sable. (2003). Robust statistical techniques for the categorization of images using associated text. JACC: Cardiovascular Interventions. 16(21). 2685–2685. 1 indexed citations

Sable, Carl, Kathleen McKeown, & Kenneth Church. (2002). NLP found helpful (at least for one text categorization task). Columbia Academic Commons (Columbia University). 10. 172–179. 10 indexed citations

McKeown, Kathleen, Carl Sable, & Vasileios Hatzivassiloglou. (2002). Using density estimation to improve text categorization. Columbia Academic Commons (Columbia University). 2 indexed citations

McKeown, Kathleen, Regina Barzilay, David K. Evans, et al.. (2002). Tracking and summarizing news on a daily basis with Columbia's Newsblaster. 280–285. 149 indexed citations

10.

Sable, Carl & Kenneth Church. (2001). Using Bins to Empirically Estimate Term Weights for Text Categorization. Columbia Academic Commons (Columbia University). 5 indexed citations

11.

Sable, Carl & Vasileios Hatzivassiloglou. (2000). Text-based approaches for non-topical image categorization. International Journal on Digital Libraries. 3(3). 261–275. 13 indexed citations

12.

McKeown, Kathleen, et al.. (1999). Integration of Visual and Text-Based Approaches for the Content Labeling and Classification of Photographs. Columbia Academic Commons (Columbia University). 49 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.

Explore authors with similar magnitude of impact