Lisa Graf

451 total citations
2 papers, 8 citations indexed

About

Lisa Graf is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Physiology. According to data from OpenAlex, Lisa Graf has authored 2 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cardiology and Cardiovascular Medicine, 1 paper in General Health Professions and 1 paper in Physiology. Recurrent topics in Lisa Graf's work include ECG Monitoring and Analysis (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Psoriasis: Treatment and Pathogenesis (1 paper). Lisa Graf is often cited by papers focused on ECG Monitoring and Analysis (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Psoriasis: Treatment and Pathogenesis (1 paper). Lisa Graf collaborates with scholars based in Germany. Lisa Graf's co-authors include Timo Schinköthe, Annette Schmidt, Susanne Abraham, Falko Tesch, Lorenz Harst, Felix Gräßer and Jochen Schmitt and has published in prestigious journals such as BMC Medical Informatics and Decision Making and JMIR Cardio.

In The Last Decade

Lisa Graf

1 paper receiving 8 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa Graf Germany	1	8	2	2	2	1	2	8
Baptiste Bazire France	3	8 1.0×	2 1.0×	3 1.5×			3	9
Marianela Barros Argentina	2	7 0.9×	2 1.0×		2 1.0×		6	12
David Brabham United States	2	7 0.9×	1 0.5×	2 1.0×	3 1.5×		5	10
Gerardo Zapata Argentina	3	5 0.6×	2 1.0×		2 1.0×		14	10
Bharat Rawlley United States	3	5 0.6×	1 0.5×	2 1.0×	2 1.0×		13	17
Émilie Laflamme Canada	2	9 1.1×	3 1.5×	3 1.5×	1 0.5×		5	9
Martine Gilard France	2	5 0.6×	3 1.5×	2 1.0×			2	5
Yasser Sadek Egypt	2	5 0.6×	3 1.5×	2 1.0×			5	6
Viktor Mordovin Russia	2	8 1.0×	1 0.5×	2 1.0×			4	9
Firas Aljanadi United Kingdom	2	9 1.1×	1 0.5×	2 1.0×			5	10

Countries citing papers authored by Lisa Graf

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Graf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Graf

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

All Works

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2 of 2 papers shown

1.

Graf, Lisa, Falko Tesch, Felix Gräßer, et al.. (2023). Acceptance of a digital therapy recommender system for psoriasis. BMC Medical Informatics and Decision Making. 23(1). 150–150.

2.

Graf, Lisa, et al.. (2023). Diagnostic Accuracy of Single-Lead Electrocardiograms Using the Kardia Mobile App and the Apple Watch 4: Validation Study. JMIR Cardio. 7. e50701–e50701. 8 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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