Tezeta Mitiku

610 total citations
8 papers, 475 citations indexed

About

Tezeta Mitiku is a scholar working on Health Information Management, General Health Professions and Epidemiology. According to data from OpenAlex, Tezeta Mitiku has authored 8 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health Information Management, 2 papers in General Health Professions and 2 papers in Epidemiology. Recurrent topics in Tezeta Mitiku's work include Primary Care and Health Outcomes (2 papers), Chronic Disease Management Strategies (2 papers) and Electronic Health Records Systems (2 papers). Tezeta Mitiku is often cited by papers focused on Primary Care and Health Outcomes (2 papers), Chronic Disease Management Strategies (2 papers) and Electronic Health Records Systems (2 papers). Tezeta Mitiku collaborates with scholars based in Canada. Tezeta Mitiku's co-authors include Karen Tu, Jack V. Tu, Douglas S. Lee, Helen Guo, Douglas G. Manuel, Peter C. Austin, Lawrence W. Svenson, Maria Chiu, Xuesong Wang and Wayne Putnam and has published in prestigious journals such as Journal of Clinical Epidemiology, Canadian Medical Association Journal and The Canadian Journal of Psychiatry.

In The Last Decade

Tezeta Mitiku

8 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tezeta Mitiku Canada	7	126	104	89	89	51	8	475
Babak Aliarzadeh Canada	13	62 0.5×	89 0.9×	122 1.4×	78 0.9×	76 1.5×	43	496
Indu Mohan India	9	218 1.7×	143 1.4×	75 0.8×	60 0.7×	72 1.4×	16	560
O Baclic Canada	7	232 1.8×	107 1.0×	60 0.7×	89 1.0×	20 0.4×	14	495
Jenna M. Norton United States	13	76 0.6×	99 1.0×	192 2.2×	103 1.2×	44 0.9×	38	682
Marion Biermans Netherlands	15	96 0.8×	69 0.7×	109 1.2×	163 1.8×	57 1.1×	30	541
Ashley K. Keates Australia	6	176 1.4×	48 0.5×	62 0.7×	72 0.8×	27 0.5×	7	498
Andrew D. Schreiner United States	11	194 1.5×	65 0.6×	102 1.1×	136 1.5×	66 1.3×	46	529
Lawrence So Canada	8	108 0.9×	55 0.5×	87 1.0×	52 0.6×	23 0.5×	10	336
Suneela Mehta New Zealand	14	292 2.3×	103 1.0×	93 1.0×	115 1.3×	114 2.2×	39	615
Per Hjerpe Sweden	15	320 2.5×	80 0.8×	83 0.9×	68 0.8×	71 1.4×	45	625

Countries citing papers authored by Tezeta Mitiku

Since Specialization

Citations

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

Fields of papers citing papers by Tezeta Mitiku

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tezeta Mitiku

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

Stephenson, Ellen, Jessica Gronsbell, Karen Tu, et al.. (2022). Disruptions in Primary Care among People with Schizophrenia in Ontario, Canada, During the COVID-19 Pandemic. The Canadian Journal of Psychiatry. 68(6). 426–435. 4 indexed citations

2.

Tu, Karen, Tezeta Mitiku, Noah Ivers, et al.. (2014). Evaluation of Electronic Medical Record Administrative data Linked Database (EMRALD).. PubMed. 20(1). e15–21. 78 indexed citations

3.

Tu, Karen, et al.. (2010). De-identification of primary care electronic medical records free-text data in Ontario, Canada. BMC Medical Informatics and Decision Making. 10(1). 35–35. 23 indexed citations

4.

Tu, Karen, Tezeta Mitiku, Helen Guo, Douglas S. Lee, & Jack V. Tu. (2010). Myocardial infarction and the validation of physician billing and hospitalization data using electronic medical records. PubMed. 30(4). 141–146. 39 indexed citations

5.

Tu, Karen, et al.. (2010). Diabetics can be identified in an electronic medical record using laboratory tests and prescriptions. Journal of Clinical Epidemiology. 64(4). 431–435. 47 indexed citations

6.

Tu, Karen, Tezeta Mitiku, Douglas S. Lee, Helen Guo, & Jack V. Tu. (2010). Validation of physician billing and hospitalization data to identify patients with ischemic heart disease using data from the Electronic Medical Record Administrative data Linked Database (EMRALD. Canadian Journal of Cardiology. 26(7). e225–e228. 101 indexed citations

7.

Lee, Douglas S., Maria Chiu, Douglas G. Manuel, et al.. (2009). Trends in risk factors for cardiovascular disease in Canada: temporal, socio-demographic and geographic factors. Canadian Medical Association Journal. 181(3-4). E55–E66. 167 indexed citations

8.

Mitiku, Tezeta & Karen Tu. (2008). ICES Report: Using Data from Electronic Medical Records: Theory versus Practice. Healthcare Quarterly. 11(4). 23–25. 16 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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