Abdulhakim Tlimat

511 total citations
4 papers, 296 citations indexed

About

Abdulhakim Tlimat is a scholar working on Health Information Management, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Abdulhakim Tlimat has authored 4 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Health Information Management, 1 paper in Molecular Biology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Abdulhakim Tlimat's work include Air Quality and Health Impacts (1 paper), Artificial Intelligence in Healthcare (1 paper) and Nursing Diagnosis and Documentation (1 paper). Abdulhakim Tlimat is often cited by papers focused on Air Quality and Health Impacts (1 paper), Artificial Intelligence in Healthcare (1 paper) and Nursing Diagnosis and Documentation (1 paper). Abdulhakim Tlimat collaborates with scholars based in United States. Abdulhakim Tlimat's co-authors include Steven Horng, David Sontag, Yoni Halpern, Yasir Tarabichi, Jarrod E. Dalton, Douglas Gunzler, Adam T. Perzynski, Larry Nathanson, Edward Ullman and David C. Kaelber and has published in prestigious journals such as Scientific Reports, CHEST Journal and Journal of the American Medical Informatics Association.

In The Last Decade

Abdulhakim Tlimat

4 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abdulhakim Tlimat United States	4	180	114	39	32	27	4	296
Lewis J. Frey United States	11	117 0.7×	113 1.0×	49 1.3×	14 0.4×	22 0.8×	41	340
Sicheng Zhou United States	9	121 0.7×	74 0.6×	43 1.1×	12 0.4×	24 0.9×	41	328
Ergin Soysal United States	10	314 1.7×	304 2.7×	52 1.3×	34 1.1×	13 0.5×	15	513
Megan Kaiser United States	11	233 1.3×	196 1.7×	112 2.9×	34 1.1×	6 0.2×	14	481
Sarvesh Soni United States	6	221 1.2×	122 1.1×	50 1.3×	11 0.3×	9 0.3×	9	339
Lina F. Soualmia France	11	208 1.2×	227 2.0×	34 0.9×	37 1.2×	5 0.2×	66	375
Claudiu Farcas United States	10	137 0.8×	63 0.6×	28 0.7×	20 0.6×	6 0.2×	33	351
Jean Charlet France	11	241 1.3×	230 2.0×	60 1.5×	26 0.8×	6 0.2×	77	408
Deepika Gopukumar United States	4	97 0.5×	66 0.6×	85 2.2×	19 0.6×	13 0.5×	6	318
Vijay Garla United States	9	245 1.4×	199 1.7×	46 1.2×	8 0.3×	43 1.6×	11	422

Countries citing papers authored by Abdulhakim Tlimat

Since Specialization

Citations

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

Fields of papers citing papers by Abdulhakim Tlimat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulhakim Tlimat

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

All Works

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4 of 4 papers shown

1.

Tlimat, Abdulhakim, et al.. (2020). Assessing Different Approaches to Leveraging Historical Smoking Exposure Data to Better Select Lung Cancer Screening Candidates: A Retrospective Validation Study. Nicotine & Tobacco Research. 23(8). 1334–1340. 3 indexed citations

2.

Tlimat, Abdulhakim, et al.. (2019). Neighborhood Disadvantage and Lung Cancer Incidence in Ever-Smokers at a Safety Net Health-Care System. CHEST Journal. 157(4). 1021–1029. 42 indexed citations

3.

Tlimat, Abdulhakim, Yoni Halpern, Edward Ullman, et al.. (2019). Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department. Journal of the American Medical Informatics Association. 27(1). 147–153. 16 indexed citations

4.

Halpern, Yoni, et al.. (2017). Learning a Health Knowledge Graph from Electronic Medical Records. Scientific Reports. 7(1). 5994–5994. 235 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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